@Article{info:doi/10.2196/60562,
author="Mesko, Bertalan
and deBronkart, Dave
and Dhunnoo, Pranavsingh
and Arvai, Nora
and Katonai, Gell{\'e}rt
and Riggare, Sara",
title="The Evolution of Patient Empowerment and Its Impact on Health Care's Future",
journal="J Med Internet Res",
year="2025",
month="May",
day="1",
volume="27",
pages="e60562",
keywords="patient empowerment",
keywords="patient design",
keywords="foresight",
keywords="future studies",
keywords="health care future",
keywords="patient autonomy",
doi="10.2196/60562",
url="https://www.jmir.org/2025/1/e60562"
}


@Article{info:doi/10.2196/63687,
author="Nesoff, D. Elizabeth
and Palamar, J. Joseph
and Li, Qingyue
and Li, Wenqian
and Martins, S. Silvia",
title="Challenging the Continued Usefulness of Social Media Recruitment for Surveys of Hidden Populations of People Who Use Opioids",
journal="J Med Internet Res",
year="2025",
month="Apr",
day="30",
volume="27",
pages="e63687",
keywords="opioids",
keywords="substance use",
keywords="survey methods",
keywords="social media",
keywords="recruitment",
keywords="survey",
keywords="drug overdose",
keywords="substance use disorder",
keywords="online recruitment",
keywords="online survey",
keywords="mental health",
keywords="addiction",
keywords="data collection",
doi="10.2196/63687",
url="https://www.jmir.org/2025/1/e63687"
}


@Article{info:doi/10.2196/46113,
author="Hamilton, Douglas
and Kohli, S. Sandeep (Sonny)
and McBeth, Paul
and Moore, Randy
and Hamilton, Keltie
and Kirkpatrick, W. Andrew",
title="Low Earth Orbit Communication Satellites: A Positively Disruptive Technology That Could Change the Delivery of Health Care in Rural and Northern Canada",
journal="J Med Internet Res",
year="2025",
month="Apr",
day="30",
volume="27",
pages="e46113",
keywords="telemedicine",
keywords="telementored medicine",
keywords="space medicine",
keywords="virtual medicine",
keywords="medical informatics",
keywords="low earth orbit satellites",
keywords="rural",
keywords="Canada",
keywords="remote",
keywords="stress",
keywords="virtual care",
keywords="medical care",
keywords="utility",
keywords="COVID-19",
keywords="patient",
keywords="availability",
keywords="satellite",
keywords="mobile phone",
doi="10.2196/46113",
url="https://www.jmir.org/2025/1/e46113"
}


@Article{info:doi/10.2196/68661,
author="Ruotsalainen, Pekka
and Blobel, Bernd",
title="A System Model and Requirements for Transformation to Human-Centric Digital Health",
journal="J Med Internet Res",
year="2025",
month="Apr",
day="28",
volume="27",
pages="e68661",
keywords="digital health",
keywords="human rights",
keywords="privacy",
keywords="dignity",
keywords="autonomy",
keywords="digital economy",
keywords="neoliberalism",
keywords="modeling",
keywords="system analysis",
keywords="artificial intelligence",
doi="10.2196/68661",
url="https://www.jmir.org/2025/1/e68661"
}


@Article{info:doi/10.2196/58723,
author="Amer, Matthew
and Gittins, Rosalind
and Millana, Martinez Antonio
and Scheibein, Florian
and Ferri, Marica
and Tofighi, Babak
and Sullivan, Frank
and Handley, Margaret
and Ghosh, Monty
and Baldacchino, Alexander
and Tay Wee Teck, Joseph",
title="Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?",
journal="J Med Internet Res",
year="2025",
month="Apr",
day="28",
volume="27",
pages="e58723",
keywords="machine learning",
keywords="ML",
keywords="artificial intelligence",
keywords="AI",
keywords="algorithm",
keywords="predictive model",
keywords="predictive analytics",
keywords="predictive system",
keywords="practical model",
keywords="deep learning",
keywords="early warning",
keywords="early detection",
keywords="big data",
keywords="opioid use",
keywords="opioid",
keywords="opioid use disorder",
keywords="substance use",
keywords="substance use disorder",
doi="10.2196/58723",
url="https://www.jmir.org/2025/1/e58723"
}


@Article{info:doi/10.2196/60766,
author="Trinh, Simon
and Skoll, Devin
and Saxon, Ann Leslie",
title="Health Care 2025: How Consumer-Facing Devices Change Health Management and Delivery",
journal="J Med Internet Res",
year="2025",
month="Apr",
day="23",
volume="27",
pages="e60766",
keywords="decentralized",
keywords="digital health",
keywords="consumer",
keywords="health care",
keywords="COVID-19",
keywords="wearables",
keywords="medical devices",
keywords="health management",
keywords="mHealth",
keywords="wearable",
keywords="well-being",
keywords="care delivery",
doi="10.2196/60766",
url="https://www.jmir.org/2025/1/e60766"
}


@Article{info:doi/10.2196/69813,
author="Hussein, Rada
and Gyrard, Amelie
and Abedian, Somayeh
and Gribbon, Philip
and Mart{\'i}nez, Alabart Sara",
title="Interoperability Framework of the European Health Data Space for the Secondary Use of Data: Interactive European Interoperability Framework--Based Standards Compliance Toolkit for AI-Driven Projects",
journal="J Med Internet Res",
year="2025",
month="Apr",
day="23",
volume="27",
pages="e69813",
keywords="artificial intelligence",
keywords="European Health Data Space",
keywords="European interoperability framework",
keywords="healthcare standards interoperability",
keywords="secondary use of health data",
doi="10.2196/69813",
url="https://www.jmir.org/2025/1/e69813",
url="http://www.ncbi.nlm.nih.gov/pubmed/40266673"
}


@Article{info:doi/10.2196/66616,
author="Kapitan, Daniel
and Heddema, Femke
and Dekker, Andr{\'e}
and Sieswerda, Melle
and Verhoeff, Bart-Jan
and Berg, Matt",
title="Data Interoperability in Context: The Importance of Open-Source Implementations When Choosing Open Standards",
journal="J Med Internet Res",
year="2025",
month="Apr",
day="15",
volume="27",
pages="e66616",
keywords="FHIR",
keywords="OMOP",
keywords="openEHR",
keywords="health care informatics",
keywords="information standards",
keywords="secondary use",
keywords="digital platform",
keywords="data sharing",
keywords="data interoperability",
keywords="open source implementations",
keywords="open standards",
keywords="Fast Health Interoperability Resources",
keywords="Observational Medical Outcomes Partnership",
keywords="clinical care",
keywords="data exchange",
keywords="longitudinal analysis",
keywords="low income",
keywords="middle-income",
keywords="LMIC",
keywords="low and middle-income countries",
keywords="developing countries",
keywords="developing nations",
keywords="health information exchange",
doi="10.2196/66616",
url="https://www.jmir.org/2025/1/e66616",
url="http://www.ncbi.nlm.nih.gov/pubmed/40232773"
}


@Article{info:doi/10.2196/67318,
author="
and Caviglia, Marta",
title="Bridging Data Gaps in Emergency Care: The NIGHTINGALE Project and the Future of AI in Mass Casualty Management",
journal="J Med Internet Res",
year="2025",
month="Apr",
day="10",
volume="27",
pages="e67318",
keywords="AI",
keywords="technology",
keywords="mass casualty incident",
keywords="incident management",
keywords="artificial intelligence",
keywords="emergency care",
keywords="MCI",
keywords="data gaps",
keywords="tool",
doi="10.2196/67318",
url="https://www.jmir.org/2025/1/e67318"
}


@Article{info:doi/10.2196/63105,
author="Templeton, Michael John
and Poellabauer, Christian
and Schneider, Sandra
and Rahimi, Morteza
and Braimoh, Taofeek
and Tadamarry, Fhaheem
and Margolesky, Jason
and Burke, Shanna
and Al Masry, Zeina",
title="Modernizing the Staging of Parkinson Disease Using Digital Health Technology",
journal="J Med Internet Res",
year="2025",
month="Apr",
day="4",
volume="27",
pages="e63105",
keywords="digital health",
keywords="Parkinson disease",
keywords="disease classification",
keywords="wearables",
keywords="personalized medicine",
keywords="neurocognition",
keywords="artificial intelligence",
keywords="AI",
doi="10.2196/63105",
url="https://www.jmir.org/2025/1/e63105"
}


@Article{info:doi/10.2196/65786,
author="Kim, Jaehyun
and Oh, Hayoung
and Yoon, Sungmin Anderson",
title="Mindfulness-Based Cognitive Therapy--Game: An Ironic Way to Treat Internet Gaming Disorder",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="27",
volume="27",
pages="e65786",
keywords="cognitive behavior therapy",
keywords="psychosocial intervention",
keywords="video games",
keywords="internet gaming disorder",
keywords="internet addiction",
keywords="mindfulness",
keywords="mental health",
doi="10.2196/65786",
url="https://www.jmir.org/2025/1/e65786"
}


@Article{info:doi/10.2196/70983,
author="Schmit, D. Cason
and O'Connell, Curry Meghan
and Shewbrooks, Sarah
and Abourezk, Charles
and Cochlin, J. Fallon
and Doerr, Megan
and Kum, Hye-Chung",
title="Dying in Darkness: Deviations From Data Sharing Ethics in the US Public Health System and the Data Genocide of American Indian and Alaska Native Communities",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="26",
volume="27",
pages="e70983",
keywords="ethics",
keywords="information dissemination",
keywords="indigenous peoples",
keywords="public health surveillance",
keywords="privacy",
keywords="data sharing",
keywords="deidentification",
keywords="data anonymization",
keywords="public health ethics",
keywords="data governance",
doi="10.2196/70983",
url="https://www.jmir.org/2025/1/e70983"
}


@Article{info:doi/10.2196/57237,
author="Li, Lan
and Back, Emma
and Lee, Suna
and Shipley, Rebecca
and Mapitse, N{\'e}o
and Elbe, Stefan
and Smallman, Melanie
and Wilson, James
and Yasin, Ifat
and Rees, Geraint
and Gordon, Ben
and Murray, Virginia
and Roberts, L. Stephen
and Cupani, Anna
and Kostkova, Patty",
title="Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="25",
volume="27",
pages="e57237",
keywords="health policy",
keywords="data sharing",
keywords="digital healthcare",
keywords="healthcare system",
keywords="ecosystems",
keywords="technologies",
keywords="decision-making",
keywords="data privacy",
keywords="data protection",
keywords="social media",
keywords="application programming interfaces",
doi="10.2196/57237",
url="https://www.jmir.org/2025/1/e57237"
}


@Article{info:doi/10.2196/56836,
author="Reed, Julie
and Svedberg, Petra
and Nygren, Jens",
title="Enhancing the Innovation Ecosystem: Overcoming Challenges to Introducing Information-Driven Technologies in Health Care",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="24",
volume="27",
pages="e56836",
keywords="artificial intelligence",
keywords="ecosystem",
keywords="health care",
keywords="implementation",
keywords="technology adoption",
keywords="improvement",
keywords="complex-systems",
doi="10.2196/56836",
url="https://www.jmir.org/2025/1/e56836"
}


@Article{info:doi/10.2196/66273,
author="Gyrard, Amelie
and Abedian, Somayeh
and Gribbon, Philip
and Manias, George
and van Nuland, Rick
and Zatloukal, Kurt
and Nicolae, Emilia Irina
and Danciu, Gabriel
and Nechifor, Septimiu
and Marti-Bonmati, Luis
and Mallol, Pedro
and Dalmiani, Stefano
and Autexier, Serge
and Jendrossek, Mario
and Avramidis, Ioannis
and Garcia Alvarez, Eva
and Holub, Petr
and Blanquer, Ignacio
and Boden, Anna
and Hussein, Rada",
title="Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="24",
volume="27",
pages="e66273",
keywords="artificial intelligence",
keywords="cancer",
keywords="European Health Data Space",
keywords="health care standards",
keywords="interoperability",
keywords="AI",
keywords="health data",
keywords="cancer use cases",
keywords="IoT",
keywords="Internet of Things",
keywords="primary data",
keywords="diagnosis",
keywords="prognosis",
keywords="decision-making",
doi="10.2196/66273",
url="https://www.jmir.org/2025/1/e66273",
url="http://www.ncbi.nlm.nih.gov/pubmed/40126534"
}


@Article{info:doi/10.2196/68549,
author="Schwarz, Julian
and Meier-Diedrich, Eva
and Scholten, Matth{\'e}
and Stephenson, Lucy
and Torous, John
and Wurster, Florian
and Blease, Charlotte",
title="Integration of Psychiatric Advance Directives Into the Patient-Accessible Electronic Health Record: Exploring the Promise and Limitations",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="18",
volume="27",
pages="e68549",
keywords="advance statements",
keywords="advance choice documents",
keywords="advance care planning",
keywords="mental health",
keywords="online record access",
keywords="patient accessible electronic health records",
keywords="interoperability",
keywords="fast healthcare interoperability eesources",
keywords="FHIR",
keywords="self-binding directives",
keywords="mobile phone",
doi="10.2196/68549",
url="https://www.jmir.org/2025/1/e68549"
}


@Article{info:doi/10.2196/57858,
author="Cresswell, Kathrin
and Jahn, Franziska
and Silsand, Line
and Woods, Leanna
and Postema, Tim
and Logan, Marion
and Malkic, Sevala
and Ammenwerth, Elske",
title="Assessing Digital Maturity of Hospitals: Viewpoint Comparing National Approaches in Five Countries",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="6",
volume="27",
pages="e57858",
keywords="digital maturity",
keywords="hospitals",
keywords="assessment",
keywords="decision making",
keywords="health systems",
keywords="infancy",
keywords="Australia",
keywords="Australian",
keywords="data collection",
keywords="data",
keywords="qualitative thematic analysis",
keywords="self-reporting",
keywords="practical feasibility",
keywords="long-term tracking",
keywords="local data",
keywords="monitoring",
doi="10.2196/57858",
url="https://www.jmir.org/2025/1/e57858",
url="http://www.ncbi.nlm.nih.gov/pubmed/40053724"
}


@Article{info:doi/10.2196/66032,
author="Uddin, Jamal
and Feng, Cheng
and Xu, Junfang",
title="Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="6",
volume="27",
pages="e66032",
keywords="internet",
keywords="generative AI",
keywords="artificial intelligence",
keywords="ChatGPT",
keywords="health communication",
keywords="health promotion",
keywords="health disparity",
keywords="health",
keywords="communication",
keywords="AI",
keywords="generative",
keywords="tool",
keywords="genAI",
keywords="gratification theory",
keywords="gratification",
keywords="public health",
keywords="inequity",
keywords="disparity",
doi="10.2196/66032",
url="https://www.jmir.org/2025/1/e66032",
url="http://www.ncbi.nlm.nih.gov/pubmed/40053755"
}


@Article{info:doi/10.2196/64721,
author="Tawfik, Daniel
and Rule, Adam
and Alexanian, Aram
and Cross, Dori
and Holmgren, Jay A.
and Lou, S. Sunny
and McPeek Hinz, Eugenia
and Rose, Christian
and Viswanadham, N. Ratnalekha V.
and Mishuris, G. Rebecca
and Rodr{\'i}guez-Fern{\'a}ndez, M. Jorge
and Ford, W. Eric
and Florig, T. Sarah
and Sinsky, A. Christine
and Apathy, C. Nate",
title="Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="6",
volume="27",
pages="e64721",
keywords="metadata",
keywords="health services research",
keywords="audit logs",
keywords="event logs",
keywords="electronic health record data",
keywords="health care delivery",
keywords="patient care",
keywords="healthcare teams",
keywords="clinician-patient relationship",
keywords="cognitive environment",
doi="10.2196/64721",
url="https://www.jmir.org/2025/1/e64721",
url="http://www.ncbi.nlm.nih.gov/pubmed/40053814"
}


@Article{info:doi/10.2196/59217,
author="Mandel, L. Hannah
and Shah, N. Shruti
and Bailey, Charles L.
and Carton, Thomas
and Chen, Yu
and Esquenazi-Karonika, Shari
and Haendel, Melissa
and Hornig, Mady
and Kaushal, Rainu
and Oliveira, R. Carlos
and Perlowski, A. Alice
and Pfaff, Emily
and Rao, Suchitra
and Razzaghi, Hanieh
and Seibert, Elle
and Thomas, L. Gelise
and Weiner, G. Mark
and Thorpe, E. Lorna
and Divers, Jasmin
and ",
title="Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="5",
volume="27",
pages="e59217",
keywords="COVID-19",
keywords="SARS-CoV-2",
keywords="Long COVID, post-acute COVID-19 syndrome",
keywords="electronic health records",
keywords="machine learning",
keywords="public health surveillance",
keywords="post-infection syndrome",
keywords="medical informatics",
keywords="electronic medical record",
keywords="electronic health record network",
keywords="electronic health record data",
keywords="clinical research network",
keywords="clinical data research network",
keywords="common data model",
keywords="digital health",
keywords="infection",
keywords="respiratory",
keywords="infectious",
keywords="epidemiological",
keywords="pandemic",
doi="10.2196/59217",
url="https://www.jmir.org/2025/1/e59217",
url="http://www.ncbi.nlm.nih.gov/pubmed/40053748"
}


@Article{info:doi/10.2196/68083,
author="Parciak, Marcel
and Pierlet, No{\"e}lla
and Peeters, M. Liesbet",
title="Empowering Health Care Actors to Contribute to the Implementation of Health Data Integration Platforms: Retrospective of the medEmotion Project",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="4",
volume="27",
pages="e68083",
keywords="data science",
keywords="health data integration",
keywords="health data platform",
keywords="real-world evidence",
keywords="health care",
keywords="health data",
keywords="data",
keywords="integration platforms",
keywords="collaborative",
keywords="platform",
keywords="Belgium",
keywords="Europe",
keywords="personas",
keywords="communication",
keywords="health care providers",
keywords="hospital-specific requirements",
keywords="digital health",
doi="10.2196/68083",
url="https://www.jmir.org/2025/1/e68083",
url="http://www.ncbi.nlm.nih.gov/pubmed/40053761"
}


@Article{info:doi/10.2196/59165,
author="De la Torre, Katherine
and Min, Sukhong
and Lee, Hyobin
and Kang, Daehee",
title="The Application of Preventive Medicine in the Future Digital Health Era",
journal="J Med Internet Res",
year="2025",
month="Feb",
day="27",
volume="27",
pages="e59165",
keywords="preventive medicine",
keywords="personalized prevention",
keywords="digital health technology",
keywords="digital health",
keywords="artificial intelligence",
keywords="wearable devices",
keywords="telemedicine",
doi="10.2196/59165",
url="https://www.jmir.org/2025/1/e59165",
url="http://www.ncbi.nlm.nih.gov/pubmed/40053712"
}


@Article{info:doi/10.2196/66164,
author="Ramesh, Harini Shri
and Jull, Darwin
and Fournier, H{\'e}l{\`e}ne
and Rajabiyazdi, Fateme",
title="Exploring Barriers to Patients' Progression in the Cardiac Rehabilitation Journey From Health Care Providers' Perspectives: Qualitative Study",
journal="Interact J Med Res",
year="2025",
month="Feb",
day="21",
volume="14",
pages="e66164",
keywords="cardiac rehabilitation",
keywords="health care providers",
keywords="CR patient journey",
keywords="qualitative study",
keywords="barriers",
keywords="technology",
abstract="Background: Cardiovascular diseases are one of the leading causes of mortality globally. Cardiac rehabilitation (CR) programs are crucial for patients recovering from cardiac events, as they help reduce the risk of recurrent events and support patient recovery. The patient's journey in CR spans the stages before, during, and after the program. Patients have to progress through each stage of CR programs successfully to complete the entire CR journey and get the full benefits of CR programs, but numerous barriers within this journey can hinder patient progression. Objective: This study aims to explore the barriers to progression at all stages of the CR patient journey from the perspectives of health care providers involved in CR care. Methods: This qualitative study involved semistructured interviews with health care providers involved in CR care from July 2023 to January 2024. A purposive maximal variation sampling method was used to target providers with diverse demographics and specialties. Snowball sampling was used to recruit participants, leveraging the existing networks of participants. Each interview lasted between 30 and 45 minutes. Interviews were recorded, transcribed verbatim, and analyzed using an inductive thematic analysis approach. Data analysis was conducted from August 2023 to February 2024. Results: Ten health care providers, comprising 7 females and 3 males, were interviewed. Their roles included physician, program director, nurse manager, clinical manager, nurse coordinator, nurse, physiotherapist, and kinesiologist. The analysis identified four overarching themes related to barriers to progression in the CR journey: (1) patients not being referred to CR programs, (2) patients not enrolling in CR programs, (3) patients dropping out of CR programs, and (4) patients' lack of adherence to lifestyle changes post-CR programs. Conclusions: In light of the growing interest in technological interventions in CR programs, we proposed 4 potential technological solutions to address the barriers to progression identified in our analysis. These solutions aim to provide a foundation for future research to guide the development of effective technologies and enhance patient progression within the CR journey. ",
doi="10.2196/66164",
url="https://www.i-jmr.org/2025/1/e66164"
}


@Article{info:doi/10.2196/62719,
author="Smith, Samuel
and Maisrikrod, Shalisa",
title="Wearable Electrocardiogram Technology: Help or Hindrance to the Modern Doctor?",
journal="JMIR Cardio",
year="2025",
month="Feb",
day="10",
volume="9",
pages="e62719",
keywords="mobile applications",
keywords="electrocardiogram",
keywords="wearable monitoring",
keywords="app",
keywords="wearable",
keywords="electrocardiograph",
keywords="ECG",
keywords="electrocardiography",
keywords="mobile app",
keywords="tool",
keywords="ischemic",
keywords="arrhythmia",
keywords="wearable ECG",
keywords="doctor",
keywords="smartwatch",
keywords="atrial fibrillation",
doi="10.2196/62719",
url="https://cardio.jmir.org/2025/1/e62719"
}


@Article{info:doi/10.2196/58956,
author="Bakker, P. Jessie
and McClenahan, J. Samantha
and Fromy, Piper
and Turner, Simon
and Peterson, T. Barry
and Vandendriessche, Benjamin
and Goldsack, C. Jennifer",
title="A Hierarchical Framework for Selecting Reference Measures for the Analytical Validation of Sensor-Based Digital Health Technologies",
journal="J Med Internet Res",
year="2025",
month="Feb",
day="7",
volume="27",
pages="e58956",
keywords="digital health technologies",
keywords="analytical validation",
keywords="digital medicine",
keywords="reference measures",
keywords="fit-for-purpose digital clinical measures",
doi="10.2196/58956",
url="https://www.jmir.org/2025/1/e58956",
url="http://www.ncbi.nlm.nih.gov/pubmed/39918870"
}


@Article{info:doi/10.2196/60777,
author="de Ligt, M. Kelly
and Hommes, Saar
and Vromans, D. Ruben
and Boomstra, Eva
and van de Poll, V. Lonneke
and Krahmer, J. Emiel",
title="Improving the Implementation of Patient-Reported Outcome Measure in Clinical Practice: Tackling Current Challenges With Innovative Digital Communication Technologies",
journal="J Med Internet Res",
year="2025",
month="Feb",
day="5",
volume="27",
pages="e60777",
keywords="patient reported outcome measures",
keywords="quality of life",
keywords="health communication",
keywords="delivery of health care",
keywords="digital sciences",
keywords="clinical practice: patient reported outcomes",
keywords="patient reported outcome",
keywords="digital communication",
keywords="communication",
keywords="health management",
keywords="digital technologies",
doi="10.2196/60777",
url="https://www.jmir.org/2025/1/e60777"
}


@Article{info:doi/10.2196/60616,
author="Varghese, Julian
and Bickmann, Lucas
and Str{\"u}nker, Timo
and Neuhaus, Nina
and T{\"u}ttelmann, Frank
and Sandmann, Sarah",
title="Publication Counts in Context: Normalization Using Query and Reference Terms in PubMed",
journal="J Med Internet Res",
year="2025",
month="Feb",
day="3",
volume="27",
pages="e60616",
keywords="publication database",
keywords="science communication",
keywords="citation",
keywords="H-index",
keywords="normalization",
keywords="publication",
keywords="trend",
keywords="scientometrics",
keywords="scholarly",
doi="10.2196/60616",
url="https://www.jmir.org/2025/1/e60616"
}


@Article{info:doi/10.2196/51785,
author="Werder, Karl
and Cao, Lan
and Park, Hee Eun
and Ramesh, Balasubramaniam",
title="Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="31",
volume="27",
pages="e51785",
keywords="artificial intelligence",
keywords="AI monitoring",
keywords="emotion",
keywords="resistance",
keywords="health care",
doi="10.2196/51785",
url="https://www.jmir.org/2025/1/e51785"
}


@Article{info:doi/10.2196/60138,
author="Figueroa, A. Caroline
and Torkamaan, Helma
and Bhattacharjee, Ananya
and Hauptmann, Hanna
and Guan, W. Kathleen
and Sedrakyan, Gayane",
title="Designing Health Recommender Systems to Promote Health Equity: A Socioecological Perspective",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="30",
volume="27",
pages="e60138",
keywords="digital health",
keywords="health promotion",
keywords="health recommender systems",
keywords="artificial intelligence",
keywords="health equity",
keywords="AI",
keywords="digital devices",
keywords="socioecological",
keywords="health inequities",
keywords="health behavior",
keywords="health behaviors",
keywords="patient centric",
keywords="digital health intervention",
doi="10.2196/60138",
url="https://www.jmir.org/2025/1/e60138"
}


@Article{info:doi/10.2196/58310,
author="Lamprell, Klay
and Pulido, Fajardo Diana
and Arnolda, Gaston
and Easpaig, Giolla Br{\'o}na Nic
and Tran, Yvonne
and Braithwaite, Jeffrey",
title="From Stories to Solutions: A Research Cycle Framework for Enhancing Trustworthiness in Studies of Online Patient Narratives",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="23",
volume="27",
pages="e58310",
keywords="online research",
keywords="exploratory study",
keywords="patient experience",
keywords="patient narratives",
keywords="narrative analysis",
keywords="mixed methods",
keywords="young-onset colorectal cancer",
keywords="cancer",
keywords="oncology",
keywords="internal medicine",
abstract="International Registered Report Identifier (IRRID): RR2-10.2196/25056 ",
doi="10.2196/58310",
url="https://www.jmir.org/2025/1/e58310",
url="http://www.ncbi.nlm.nih.gov/pubmed/39847425"
}


@Article{info:doi/10.2196/53558,
author="Ivanova, Julia
and Cummins, R. Mollie
and Ong, Triton
and Soni, Hiral
and Barrera, Janelle
and Wilczewski, Hattie
and Welch, Brandon
and Bunnell, Brian",
title="Regulation and Compliance in Telemedicine: Viewpoint",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="23",
volume="27",
pages="e53558",
keywords="telemedicine",
keywords="telehealth",
keywords="policy",
keywords="COVID-19",
keywords="PHE",
keywords="rules and regulations",
keywords="compliance",
keywords="privacy and security",
keywords="regulation",
keywords="rule",
keywords="public health",
keywords="US",
keywords="United States",
keywords="implementation",
keywords="regulatory",
keywords="professional",
keywords="organizational",
keywords="ethical",
keywords="concern",
keywords="privacy",
keywords="security",
keywords="government literature",
keywords="law",
keywords="health care",
keywords="patient",
doi="10.2196/53558",
url="https://www.jmir.org/2025/1/e53558",
url="http://www.ncbi.nlm.nih.gov/pubmed/39847413"
}


@Article{info:doi/10.2196/68198,
author="Bazzano, N. Alessandra
and Mantsios, Andrea
and Mattei, Nicholas
and Kosorok, R. Michael
and Culotta, Aron",
title="AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="22",
volume="27",
pages="e68198",
keywords="Artificial Intelligence",
keywords="Generative Artificial Intelligence",
keywords="Citizen Science",
keywords="Community Participation",
keywords="Innovation Diffusion",
doi="10.2196/68198",
url="https://www.jmir.org/2025/1/e68198",
url="http://www.ncbi.nlm.nih.gov/pubmed/39841529"
}


@Article{info:doi/10.2196/58450,
author="Ruby, Emma
and Ramlawi, Serine
and Bowie, Clare Alexa
and Boyd, Stephanie
and Dingwall-Harvey, Alysha
and Rennicks White, Ruth
and El-Cha{\^a}r, Darine
and Walker, Mark",
title="Identifying Fraudulent Responses in a Study Exploring Delivery Options for Pregnancies Impacted by Gestational Diabetes: Lessons Learned From a Web-Based Survey",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="20",
volume="27",
pages="e58450",
keywords="research fraud",
keywords="anonymous online research",
keywords="data integrity",
keywords="fraudulent responses",
keywords="web-based survey",
keywords="internet research",
keywords="perinatal health",
keywords="social media",
keywords="patient participation",
keywords="provider participation",
keywords="fraudulent",
keywords="fraud",
keywords="pregnancy",
keywords="gestational diabetes",
keywords="diabetes",
keywords="data analysis",
keywords="survey",
keywords="diabetes mellitus",
keywords="patient",
keywords="evidence-based",
doi="10.2196/58450",
url="https://www.jmir.org/2025/1/e58450"
}


@Article{info:doi/10.2196/57385,
author="Zhang, Lan
and Bullen, Christopher
and Chen, Jinsong",
title="Digital Health Innovations to Catalyze the Transition to Value-Based Health Care",
journal="JMIR Med Inform",
year="2025",
month="Jan",
day="20",
volume="13",
pages="e57385",
keywords="digital health",
keywords="value-based health care",
keywords="VBHC",
keywords="patient-reported outcome measures",
keywords="PROM",
keywords="digital transformation",
keywords="health care innovation",
keywords="patient-centric care",
keywords="health technology",
keywords="patient-reported outcome",
keywords="PRO",
keywords="outcome measure",
keywords="telehealth",
keywords="telemedicine",
keywords="eHealth",
keywords="personalized",
keywords="customized",
keywords="engagement",
keywords="patient-centered care",
keywords="standardization",
keywords="implementation",
doi="10.2196/57385",
url="https://medinform.jmir.org/2025/1/e57385"
}


@Article{info:doi/10.2196/69007,
author="Sezgin, Emre
and Kocaballi, Baki Ahmet",
title="Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="20",
volume="27",
pages="e69007",
keywords="messaging apps",
keywords="public health communication",
keywords="language models",
keywords="artificial intelligence",
keywords="AI",
keywords="generative AI",
keywords="conversational AI",
doi="10.2196/69007",
url="https://www.jmir.org/2025/1/e69007"
}


@Article{info:doi/10.2196/55235,
author="Gabrielli, Silvia
and Mayora Ibarra, Oscar
and Forti, Stefano",
title="A Holistic Digital Health Framework to Support Health Prevention Strategies in the First 1000 Days",
journal="JMIR Pediatr Parent",
year="2025",
month="Jan",
day="16",
volume="8",
pages="e55235",
keywords="digital health",
keywords="digital therapeutics",
keywords="behavioral intervention technology",
keywords="prevention",
keywords="citizen science",
keywords="first 1000 days",
doi="10.2196/55235",
url="https://pediatrics.jmir.org/2025/1/e55235"
}


@Article{info:doi/10.2196/59111,
author="Gille, Felix
and Maa{\ss}, Laura
and Ho, Benjamin
and Srivastava, Divya",
title="From Theory to Practice: Viewpoint on Economic Indicators for Trust in Digital Health",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="15",
volume="27",
pages="e59111",
keywords="trust",
keywords="economics",
keywords="digital health",
keywords="digital health innovation",
keywords="artificial intelligence",
keywords="AI",
keywords="economic evaluation",
keywords="public trust",
keywords="health data",
keywords="medical apps",
doi="10.2196/59111",
url="https://www.jmir.org/2025/1/e59111"
}


@Article{info:doi/10.2196/59601,
author="Kip, Hanneke
and Beerlage-de Jong, Nienke
and van Gemert-Pijnen, C. Lisette J. E. W.
and Kelders, M. Saskia",
title="The CeHRes Roadmap 2.0: Update of a Holistic Framework for Development, Implementation, and Evaluation of eHealth Technologies",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="13",
volume="27",
pages="e59601",
keywords="eHealth development",
keywords="eHealth implementation",
keywords="CeHRes Roadmap",
keywords="participatory development",
keywords="human-centered design",
keywords="persuasive design",
keywords="eHealth framework",
doi="10.2196/59601",
url="https://www.jmir.org/2025/1/e59601"
}


@Article{info:doi/10.2196/60443,
author="van den Broek-Altenburg, M. Eline
and Atherly, J. Adam",
title="The Paradigm Shift From Patient to Health Consumer: 20 Years of Value Assessment in Health",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="10",
volume="27",
pages="e60443",
keywords="value assessment",
keywords="cost-effectiveness",
keywords="quality-adjusted life-years",
keywords="QALY",
keywords="health consumer",
keywords="health technology",
keywords="value based",
keywords="digital health",
keywords="patient centered",
keywords="preferences",
keywords="health economics",
doi="10.2196/60443",
url="https://www.jmir.org/2025/1/e60443",
url="http://www.ncbi.nlm.nih.gov/pubmed/39793021"
}


@Article{info:doi/10.2196/59069,
author="Zhang, Kuo
and Meng, Xiangbin
and Yan, Xiangyu
and Ji, Jiaming
and Liu, Jingqian
and Xu, Hua
and Zhang, Heng
and Liu, Da
and Wang, Jingjia
and Wang, Xuliang
and Gao, Jun
and Wang, Yuan-geng-shuo
and Shao, Chunli
and Wang, Wenyao
and Li, Jiarong
and Zheng, Ming-Qi
and Yang, Yaodong
and Tang, Yi-Da",
title="Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine",
journal="J Med Internet Res",
year="2025",
month="Jan",
day="7",
volume="27",
pages="e59069",
keywords="large language models",
keywords="LLMs",
keywords="digital health",
keywords="medical diagnosis",
keywords="treatment",
keywords="multimodal data integration",
keywords="technological fairness",
keywords="artificial intelligence",
keywords="AI",
keywords="natural language processing",
keywords="NLP",
doi="10.2196/59069",
url="https://www.jmir.org/2025/1/e59069"
}


@Article{info:doi/10.2196/65521,
author="Bragazzi, Luigi Nicola
and Garbarino, Sergio",
title="Understanding and Combating Misinformation: An Evolutionary Perspective",
journal="JMIR Infodemiology",
year="2024",
month="Dec",
day="27",
volume="4",
pages="e65521",
keywords="misinformation",
keywords="infodemics",
keywords="evolutionary theory",
keywords="fake news",
keywords="spoof news",
keywords="fact-checking",
keywords="digital platform",
keywords="behavioral research",
keywords="social cohesion",
keywords="extrapolation",
keywords="deformation",
keywords="fabrication",
keywords="disinformation",
keywords="evolutionary paradox",
keywords="adaptive qualities",
keywords="strategic deception",
keywords="intrapolation",
keywords="health information",
keywords="public health",
doi="10.2196/65521",
url="https://infodemiology.jmir.org/2024/1/e65521",
url="http://www.ncbi.nlm.nih.gov/pubmed/39466077"
}


@Article{info:doi/10.2196/58637,
author="Austin, A. Jodie
and Lobo, H. Elton
and Samadbeik, Mahnaz
and Engstrom, Teyl
and Philip, Reji
and Pole, D. Jason
and Sullivan, M. Clair",
title="Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning",
journal="J Med Internet Res",
year="2024",
month="Dec",
day="20",
volume="26",
pages="e58637",
keywords="real-world data",
keywords="digital health research",
keywords="synthetic data",
keywords="common data models",
keywords="federated learning",
keywords="university-industry collaboration",
doi="10.2196/58637",
url="https://www.jmir.org/2024/1/e58637",
url="http://www.ncbi.nlm.nih.gov/pubmed/39705072"
}


@Article{info:doi/10.2196/59888,
author="Dobson, Rosie
and Whittaker, Robyn
and Abroms, C. Lorien
and Bramley, Dale
and Free, Caroline
and McRobbie, Hayden
and Stowell, Melanie
and Rodgers, Anthony",
title="Don't Forget the Humble Text Message: 25 Years of Text Messaging in Health",
journal="J Med Internet Res",
year="2024",
month="Dec",
day="17",
volume="26",
pages="e59888",
keywords="text messaging",
keywords="messaging",
keywords="SMS",
keywords="texting",
keywords="mHealth",
keywords="mobile health",
doi="10.2196/59888",
url="https://www.jmir.org/2024/1/e59888"
}


@Article{info:doi/10.2196/60184,
author="Hardesty, J. Jeffrey
and Crespi, Elizabeth
and Sinamo, K. Joshua
and Nian, Qinghua
and Breland, Alison
and Eissenberg, Thomas
and Kennedy, David Ryan
and Cohen, E. Joanna",
title="From Doubt to Confidence---Overcoming Fraudulent Submissions by Bots and Other Takers of a Web-Based Survey",
journal="J Med Internet Res",
year="2024",
month="Dec",
day="16",
volume="26",
pages="e60184",
keywords="fake data",
keywords="recruitment",
keywords="online survey",
keywords="internet survey",
keywords="challenges",
keywords="data integrity",
keywords="data quality",
keywords="e-cigs",
keywords="tobacco control",
keywords="longitudinal survey",
keywords="web-based survey",
keywords="e-cigarette",
keywords="vaping",
keywords="smoking",
keywords="smoke",
keywords="cessation",
keywords="prevalence",
keywords="data collection",
keywords="United States",
keywords="US",
keywords="adult",
keywords="VAPER",
keywords="Vaping and Patterns of E-cigarette Use Research",
doi="10.2196/60184",
url="https://www.jmir.org/2024/1/e60184"
}


@Article{info:doi/10.2196/57748,
author="Bragazzi, Luigi Nicola
and Garbarino, Sergio",
title="The Complex Interaction Between Sleep-Related Information, Misinformation, and Sleep Health: Call for Comprehensive Research on Sleep Infodemiology and Infoveillance",
journal="JMIR Infodemiology",
year="2024",
month="Dec",
day="13",
volume="4",
pages="e57748",
keywords="sleep health",
keywords="sleep-related clinical public health",
keywords="sleep information",
keywords="health information",
keywords="infodemiology",
keywords="infoveillance",
keywords="social media",
keywords="myth",
keywords="misconception",
keywords="circadian",
keywords="chronobiology",
keywords="insomnia",
keywords="eHealth",
keywords="digital health",
keywords="public health informatics",
keywords="sleep data",
keywords="health data",
keywords="well-being",
keywords="patient information",
keywords="lifestyle",
doi="10.2196/57748",
url="https://infodemiology.jmir.org/2024/1/e57748",
url="http://www.ncbi.nlm.nih.gov/pubmed/39475424"
}


@Article{info:doi/10.2196/50491,
author="Naccarella, Lucio
and Rawstorn, Charles Jonathan
and Kelly, Jaimon
and Quested, Eleanor
and Jenkinson, Stuart
and Kwasnicka, Dominika",
title="Unlocking the Potential for Implementation of Equitable, Digitally Enabled Citizen Science: Multidisciplinary Digital Health Perspective",
journal="J Med Internet Res",
year="2024",
month="Dec",
day="10",
volume="26",
pages="e50491",
keywords="citizen science",
keywords="digital health",
keywords="equity",
keywords="implementation science",
keywords="community",
keywords="research",
keywords="health inequality",
keywords="health equity",
keywords="health integration",
keywords="mental well-being",
keywords="well-being",
doi="10.2196/50491",
url="https://www.jmir.org/2024/1/e50491"
}


@Article{info:doi/10.2196/63391,
author="Spethmann, Sebastian
and Hindricks, Gerhard
and Koehler, Kerstin
and Stoerk, Stefan
and Angermann, E. Christiane
and B{\"o}hm, Michael
and Assmus, Birgit
and Winkler, Sebastian
and M{\"o}ckel, Martin
and Mittermaier, Mirja
and Lelgemann, Monika
and Reuter, Daniel
and Bosch, Ralph
and Albrecht, Alexander
and von Haehling, Stephan
and Helms, M. Thomas
and Sack, Stefan
and Bekfani, Tarek
and Gr{\"o}schel, Wolfgang Jan
and Koehler, Magdalena
and Melzer, Christoph
and Wintrich, Jan
and Zippel-Schultz, Bettina
and Ertl, Georg
and Vogelmeier, Claus
and Dagres, Nikolaos
and Zernikow, Jasmin
and Koehler, Friedrich",
title="Telemonitoring for Chronic Heart Failure: Narrative Review of the 20-Year Journey From Concept to Standard Care in Germany",
journal="J Med Internet Res",
year="2024",
month="Dec",
day="4",
volume="26",
pages="e63391",
keywords="telemedicine",
keywords="e-counseling",
keywords="heart decompensation",
keywords="Europe",
keywords="patient care management",
abstract="Background: Chronic heart failure (CHF) is a major cause of morbidity and mortality worldwide, placing a significant burden on health care systems. The concept of telemedicine for CHF was first introduced in the late 1990s, and since 2010, studies have demonstrated its potential to improve patient outcomes and reduce health care costs. Over the following decade, technological advancements and changes in health care policy led to the development of more sophisticated telemedicine solutions for CHF, including remote patient management through invasive or noninvasive telemonitoring devices, mobile apps, and virtual consultations. Years of public funding in Germany have generated evidence that remote patient management improves outcomes for patients with CHF, such as quality of life, and reduces hospital admissions. Based on these data, the Federal Joint Committee (Gemeinsamer Bundesausschuss; G-BA) decided, independently of the current European Society of Cardiology recommendations, to incorporate telemedicine as a standard digital intervention for high-risk patients with reduced left ventricular ejection fraction in Germany in 2020. Objective: This review aims to illustrate the journey from the initial concept through pioneering studies that led to telemedicine's integration into standard care, and to share current experiences that have positioned Germany as a leader in cardiovascular telemedicine. Methods: We review and discuss existing literature and evidence on the development and implementation of telemonitoring for CHF in Germany over the past 20 years. Relevant studies, reports, and guidelines were identified through a comprehensive search of electronic databases, including PubMed, Google Scholar, and specialized journals focused on CHF telemonitoring. Results: Pioneering studies, such as the TIM-HF2 (Telemedical Interventional Management in Heart Failure II) and IN-TIME (Influence of Home Monitoring on Mortality and Morbidity in Heart Failure Patients with Impaired Left Ventricular Function) trials, demonstrated the effectiveness of remote patient management applications for patients with CHF in Germany and their applicability to current practices involving both invasive and noninvasive methods. Collaborations between researchers and technology developers overcame barriers, leading to sustainable improvements in patient care. Ongoing research on artificial intelligence applications for prioritizing and interpreting individual health data will continue to transform digital health care. Conclusions: The establishment of telemedical care for patients with HF across Europe is likely to benefit from experiences in Germany, where significant improvements have been achieved in the care of patients with HF. ",
doi="10.2196/63391",
url="https://www.jmir.org/2024/1/e63391"
}


@Article{info:doi/10.2196/53344,
author="Benjamin, Jennifer
and Pillow, Tyson
and MacNeill, Heather
and Masters, Ken
and Agrawal, Anoop
and Mehta, Neil",
title="Reflections From the Pandemic: Is Connectivism the Panacea for Clinicians?",
journal="J Med Internet Res",
year="2024",
month="Dec",
day="3",
volume="26",
pages="e53344",
keywords="learning theory",
keywords="learning framework",
keywords="connectivism",
keywords="panacea",
keywords="COVID-19",
keywords="generative artificial intelligence",
keywords="GAI",
keywords="health care community",
keywords="clinician",
keywords="health care",
keywords="airborne disease",
keywords="learning",
keywords="information",
keywords="misinformation",
keywords="autonomy",
keywords="diversity",
doi="10.2196/53344",
url="https://www.jmir.org/2024/1/e53344",
url="http://www.ncbi.nlm.nih.gov/pubmed/39625749"
}


@Article{info:doi/10.2196/60258,
author="Chen, You
and Lehmann, U. Christoph
and Malin, Bradley",
title="Digital Information Ecosystems in Modern Care Coordination and Patient Care Pathways and the Challenges and Opportunities for AI Solutions",
journal="J Med Internet Res",
year="2024",
month="Dec",
day="2",
volume="26",
pages="e60258",
keywords="patient care pathway",
keywords="care journey",
keywords="care coordination",
keywords="digital information ecosystem",
keywords="digital technologies",
keywords="artificial intelligence",
keywords="information interoperability",
keywords="information silos",
keywords="workload",
keywords="information retrieval",
keywords="care transitions",
keywords="patient-reported outcome measures",
keywords="clinical workflow",
keywords="usability",
keywords="user experience workflow",
keywords="health care information systems",
keywords="networks of health care professionals",
keywords="patient information flow",
doi="10.2196/60258",
url="https://www.jmir.org/2024/1/e60258"
}


@Article{info:doi/10.2196/58007,
author="Allers, Sanne
and Carboni, Chiara
and Eijkenaar, Frank
and Wehrens, Rik",
title="A Cross-Disciplinary Analysis of the Complexities of Scaling Up eHealth Innovation",
journal="J Med Internet Res",
year="2024",
month="Dec",
day="2",
volume="26",
pages="e58007",
keywords="innovation",
keywords="eHealth",
keywords="remote patient monitoring",
keywords="scale-up",
keywords="cross-disciplinary",
keywords="qualitative case study",
keywords="health care systems",
keywords="adaptation",
keywords="complexity",
keywords="health care",
keywords="framework",
keywords="ecological perspective",
keywords="barriers and facilitators",
doi="10.2196/58007",
url="https://www.jmir.org/2024/1/e58007"
}


@Article{info:doi/10.2196/62761,
author="Harrison Ginsberg, Kristin
and Babbott, Katie
and Serlachius, Anna",
title="Exploring Participants' Experiences of Digital Health Interventions With Qualitative Methods: Guidance for Researchers",
journal="J Med Internet Res",
year="2024",
month="Nov",
day="28",
volume="26",
pages="e62761",
keywords="qualitative methods",
keywords="content analysis",
keywords="thematic analysis",
keywords="digital health evaluation",
keywords="user engagement",
keywords="user experience",
keywords="digital health intervention",
keywords="innovation",
keywords="patient experience",
keywords="health care",
keywords="researcher",
keywords="technology",
keywords="mobile health",
keywords="mHealth",
keywords="telemedicine",
keywords="digital health",
keywords="behavior change",
keywords="usability",
keywords="tutorial",
keywords="research methods",
keywords="qualitative research",
keywords="study design",
doi="10.2196/62761",
url="https://www.jmir.org/2024/1/e62761"
}


@Article{info:doi/10.2196/57612,
author="Yi, Siyan
and Yam, Yan Esabelle Lo
and Cheruvettolil, Kochukoshy
and Linos, Eleni
and Gupta, Anshika
and Palaniappan, Latha
and Rajeshuni, Nitya
and Vaska, Gopal Kiran
and Schulman, Kevin
and Eggleston, N. Karen",
title="Perspectives of Digital Health Innovations in Low- and Middle-Income Health Care Systems From South and Southeast Asia",
journal="J Med Internet Res",
year="2024",
month="Nov",
day="25",
volume="26",
pages="e57612",
keywords="digital health innovations",
keywords="public health",
keywords="South and Southeast Asia",
keywords="health care challenges",
keywords="low- and middle-income countries",
keywords="LMICs",
keywords="global health",
keywords="health AI",
keywords="artificial intelligence",
keywords="public health responses",
keywords="global health contexts",
keywords="digital health",
doi="10.2196/57612",
url="https://www.jmir.org/2024/1/e57612"
}


@Article{info:doi/10.2196/50235,
author="Jefferson, Emily
and Milligan, Gordon
and Johnston, Jenny
and Mumtaz, Shahzad
and Cole, Christian
and Best, Joseph
and Giles, Charles Thomas
and Cox, Samuel
and Masood, Erum
and Horban, Scott
and Urwin, Esmond
and Beggs, Jillian
and Chuter, Antony
and Reilly, Gerry
and Morris, Andrew
and Seymour, David
and Hopkins, Susan
and Sheikh, Aziz
and Quinlan, Philip",
title="The Challenges and Lessons Learned Building a New UK Infrastructure for Finding and Accessing Population-Wide COVID-19 Data for Research and Public Health Analysis: The CO-CONNECT Project",
journal="J Med Internet Res",
year="2024",
month="Nov",
day="20",
volume="26",
pages="e50235",
keywords="COVID-19",
keywords="infrastructure",
keywords="trusted research environments",
keywords="safe havens",
keywords="feasibility analysis",
keywords="cohort discovery",
keywords="federated analytics",
keywords="federated discovery",
keywords="lessons learned",
keywords="population wide",
keywords="data",
keywords="public health",
keywords="analysis",
keywords="CO-CONNECT",
keywords="challenges",
keywords="data transformation",
doi="10.2196/50235",
url="https://www.jmir.org/2024/1/e50235"
}


@Article{info:doi/10.2196/58933,
author="Piera-Jim{\'e}nez, Jordi
and Carot-Sans, Gerard
and Ramiro-Pareta, Marina
and Nogueras, Mercedes Maria
and Folguera-Profit{\'o}s, J{\'u}lia
and R{\'o}denas, Pepi
and Jim{\'e}nez-Rueda, Alba
and de Pando Navarro, Thais
and Mira Palacios, Antoni Josep
and Fajardo, Carles Joan
and Ustrell Campillo, Joan
and Vela, Emili
and Monterde, David
and Valero-Bover, Dami{\`a}
and Bonet, Tara
and Tarras{\'o}-Urios, Guillermo
and Cantenys-Sab{\`a}, Roser
and Fabregat-Fabregat, Pau
and G{\'o}mez Oliveros, Beatriz
and Berd{\'u}n, Jes{\'u}s
and Michelena, Xabier
and Cano, Isaac
and Gonz{\'a}lez-Colom, Rub{\`e}n
and Roca, Josep
and Solans, Oscar
and Pontes, Caridad
and P{\'e}rez-Sust, Pol",
title="A 25-Year Retrospective of Health IT Infrastructure Building: The Example of the Catalonia Region",
journal="J Med Internet Res",
year="2024",
month="Nov",
day="18",
volume="26",
pages="e58933",
keywords="health ITs",
keywords="eHealth",
keywords="integrated care",
keywords="open platforms",
keywords="interoperability",
keywords="Catalonia",
keywords="digitalization",
keywords="health care structure",
keywords="health care delivery",
keywords="integrated pathway",
keywords="integrated treatment plan",
keywords="process management",
doi="10.2196/58933",
url="https://www.jmir.org/2024/1/e58933",
url="http://www.ncbi.nlm.nih.gov/pubmed/39556831"
}


@Article{info:doi/10.2196/58680,
author="Stevens, R. Elizabeth
and Elmaleh-Sachs, Arielle
and Lofton, Holly
and Mann, M. Devin",
title="Lightening the Load: Generative AI to Mitigate the Burden of the New Era of Obesity Medical Therapy",
journal="JMIR Diabetes",
year="2024",
month="Nov",
day="14",
volume="9",
pages="e58680",
keywords="obesity",
keywords="artificial intelligence",
keywords="AI",
keywords="clinical management",
keywords="GLP-1",
keywords="glucagon-like peptide 1",
keywords="medical therapy",
keywords="antiobesity",
keywords="diabetes",
keywords="medication",
keywords="agonists",
keywords="glucose-dependent insulinotropic polypeptide",
keywords="treatment",
keywords="clinician",
keywords="health care delivery system",
keywords="incretin mimetic",
doi="10.2196/58680",
url="https://diabetes.jmir.org/2024/1/e58680"
}


@Article{info:doi/10.2196/64226,
author="Nagarajan, Radha
and Kondo, Midori
and Salas, Franz
and Sezgin, Emre
and Yao, Yuan
and Klotzman, Vanessa
and Godambe, A. Sandip
and Khan, Naqi
and Limon, Alfonso
and Stephenson, Graham
and Taraman, Sharief
and Walton, Nephi
and Ehwerhemuepha, Louis
and Pandit, Jay
and Pandita, Deepti
and Weiss, Michael
and Golden, Charles
and Gold, Adam
and Henderson, John
and Shippy, Angela
and Celi, Anthony Leo
and Hogan, R. William
and Oermann, K. Eric
and Sanger, Terence
and Martel, Steven",
title="Economics and Equity of Large Language Models: Health Care Perspective",
journal="J Med Internet Res",
year="2024",
month="Nov",
day="14",
volume="26",
pages="e64226",
keywords="large language model",
keywords="LLM",
keywords="health care",
keywords="economics",
keywords="equity",
keywords="cloud service providers",
keywords="cloud",
keywords="health outcome",
keywords="implementation",
keywords="democratization",
doi="10.2196/64226",
url="https://www.jmir.org/2024/1/e64226"
}


@Article{info:doi/10.2196/59674,
author="Subramanian, Hemang
and Sengupta, Arijit
and Xu, Yilin",
title="Patient Health Record Protection Beyond the Health Insurance Portability and Accountability Act: Mixed Methods Study",
journal="J Med Internet Res",
year="2024",
month="Nov",
day="6",
volume="26",
pages="e59674",
keywords="security",
keywords="privacy",
keywords="security breach",
keywords="breach report",
keywords="health care",
keywords="health care infrastructure",
keywords="regulatory",
keywords="law enforcement",
keywords="Omnibus Rule",
keywords="qualitative analysis",
keywords="AI-generated data",
keywords="artificial intelligence",
keywords="difference-in-differences",
keywords="best practice",
keywords="data privacy",
keywords="safe practice",
abstract="Background: The security and privacy of health care information are crucial for maintaining the societal value of health care as a public good. However, governance over electronic health care data has proven inefficient, despite robust enforcement efforts. Both federal (HIPAA [Health Insurance Portability and Accountability Act]) and state regulations, along with the ombudsman rule, have not effectively reduced the frequency or impact of data breaches in the US health care system. While legal frameworks have bolstered data security, recent years have seen a concerning increase in breach incidents. This paper investigates common breach types and proposes best practices derived from the data as potential solutions. Objective: The primary aim of this study is to analyze health care and hospital breach data, comparing it against HIPAA compliance levels across states (spatial analysis) and the impact of the Omnibus Rule over time (temporal analysis). The goal is to establish guidelines for best practices in handling sensitive information within hospitals and clinical environments. Methods: The study used data from the Department of Health and Human Services on reported breaches, assessing the severity and impact of each breach type. We then analyzed secondary data to examine whether HIPAA's storage and retention rule amendments have influenced security and privacy incidents across all 50 states. Finally, we conducted a qualitative analysis of textual data from vulnerability and breach reports to identify actionable best practices for health care settings. Results: Our findings indicate that hacking or IT incidents have the most significant impact on the number of individuals affected, highlighting this as a primary breach category. The overall difference-in-differences trend reveals no significant reduction in breach rates (P=.50), despite state-level regulations exceeding HIPAA requirements and the introduction of the ombudsman rule. This persistence in breach trends implies that even strengthened protections and additional guidelines have not effectively curbed the rising number of affected individuals. Through qualitative analysis, we identified 15 unique values and associated best practices from industry standards. Conclusions: Combining quantitative and qualitative insights, we propose the ``SecureSphere framework'' to enhance data security in health care institutions. This framework presents key security values structured in concentric circles: core values at the center and peripheral values around them. The core values include employee management, policy, procedures, and IT management. Peripheral values encompass the remaining security attributes that support these core elements. This structured approach provides a comprehensive security strategy for protecting patient health information and is designed to help health care organizations develop sustainable practices for data security. ",
doi="10.2196/59674",
url="https://www.jmir.org/2024/1/e59674"
}


@Article{info:doi/10.2196/64221,
author="Nachman, Sophie
and Ortiz-Prado, Esteban
and Tucker, D. Joseph",
title="Video Abstracts in Research",
journal="J Med Internet Res",
year="2024",
month="Nov",
day="4",
volume="26",
pages="e64221",
keywords="video abstract",
keywords="abstract",
keywords="dissemination",
keywords="public engagement",
keywords="online",
keywords="videos",
keywords="public audience",
keywords="communication",
keywords="infographics",
keywords="health literacy",
keywords="patient education",
keywords="public health",
doi="10.2196/64221",
url="https://www.jmir.org/2024/1/e64221"
}


@Article{info:doi/10.2196/58936,
author="K{\"o}hler, Charlotte
and Bartschke, Alexander
and F{\"u}rstenau, Daniel
and Schaaf, Thorsten
and Salgado-Baez, Eduardo",
title="The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research",
journal="J Med Internet Res",
year="2024",
month="Oct",
day="25",
volume="26",
pages="e58936",
keywords="consumer devices",
keywords="smartwatches",
keywords="value-based health care",
keywords="monitoring",
keywords="nudging",
keywords="predicting",
keywords="mobile phone",
doi="10.2196/58936",
url="https://www.jmir.org/2024/1/e58936",
url="http://www.ncbi.nlm.nih.gov/pubmed/39356287"
}


@Article{info:doi/10.2196/55441,
author="Brogden, Josephine
and de Haan, Zsofi
and Gorban, Carla
and Hockey, J. Samuel
and Hutcheon, Alexis
and Iorfino, Frank
and Song, C. Yun Ju
and Scott, Elizabeth
and Hickie, B. Ian
and McKenna, Sarah",
title="Enhancing Research Involvement of Young People With Lived Expertise: Reflecting on Experiences in Digital Mental Health Research",
journal="J Med Internet Res",
year="2024",
month="Oct",
day="18",
volume="26",
pages="e55441",
keywords="youth mental health",
keywords="digital mental health",
keywords="lived expertise",
keywords="young people",
keywords="youth",
keywords="adolescence",
keywords="technologies",
keywords="university",
keywords="universities",
keywords="Sydney",
keywords="real-world",
keywords="engagement",
keywords="work environment",
doi="10.2196/55441",
url="https://www.jmir.org/2024/1/e55441"
}


@Article{info:doi/10.2196/54709,
author="Miller, M. Lyndsey
and Kaye, Jeffrey
and Lindauer, Allison
and Au-Yeung, M. Wan-Tai
and Rodrigues, K. Nathaniel
and Czaja, J. Sara",
title="Remote Passive Sensing of Older Adults' Activities and Function: User-Centered Design Considerations for Behavioral Interventions Conducted in the Home Setting",
journal="J Med Internet Res",
year="2024",
month="Oct",
day="18",
volume="26",
pages="e54709",
keywords="user-centered design",
keywords="remote passive sensing",
keywords="remote monitoring",
keywords="behavioral interventions",
keywords="caregiving",
keywords="dementia",
keywords="Alzheimer",
keywords="monitoring",
keywords="gerontology",
keywords="geriatrics",
keywords="older adult",
keywords="aging",
keywords="usability",
keywords="acceptability",
keywords="trust",
keywords="behavioral",
doi="10.2196/54709",
url="https://www.jmir.org/2024/1/e54709",
url="http://www.ncbi.nlm.nih.gov/pubmed/39423003"
}


@Article{info:doi/10.2196/60081,
author="You, Guan-Ting Jacqueline
and Leung, I. Tiffany
and Pandita, Deepti
and Sakumoto, Matthew",
title="Primary Care Informatics: Vitalizing the Bedrock of Health Care",
journal="J Med Internet Res",
year="2024",
month="Oct",
day="15",
volume="26",
pages="e60081",
keywords="health care delivery",
keywords="primary care",
keywords="primary health care",
keywords="primary prevention",
keywords="quality of health care",
keywords="holistic care",
keywords="holistic medicine",
keywords="people-centric care",
keywords="person-centric care",
keywords="medical informatics applications",
keywords="primary care informatics",
keywords="medical informatics",
keywords="health informatics",
keywords="information science",
keywords="data science",
doi="10.2196/60081",
url="https://www.jmir.org/2024/1/e60081"
}


@Article{info:doi/10.2196/51751,
author="Wright, L. Amy
and Willett, Jayne Ysabella
and Ferron, Mae Era
and Kumarasamy, Vithusa
and Lem, M. Sarah
and Ahmed, Ossaid",
title="Using Social Media to Recruit Participants in Health Care Research: Case Study",
journal="J Med Internet Res",
year="2024",
month="Oct",
day="11",
volume="26",
pages="e51751",
keywords="social media",
keywords="qualitative methods",
keywords="recruitment strategies",
keywords="healthcare research",
keywords="digital health",
keywords="internet",
keywords="",
doi="10.2196/51751",
url="https://www.jmir.org/2024/1/e51751"
}


@Article{info:doi/10.2196/58888,
author="Wilkes, Matt
and Kramer, Annabel
and Pugmire, Juliana
and Pilkington, Christopher
and Zaniello, Benjamin
and Zahradka, Nicole",
title="Hospital Is Not the Home: Lessons From Implementing Remote Technology to Support Acute Inpatient and Transitional Care in the Home in the United States and United Kingdom",
journal="J Med Internet Res",
year="2024",
month="Oct",
day="11",
volume="26",
pages="e58888",
keywords="telemedicine",
keywords="implementation science",
keywords="hospital-to-home transition",
keywords="remote patient monitoring",
keywords="digital health",
keywords="transition of care",
keywords="accuracy",
keywords="acceptability",
doi="10.2196/58888",
url="https://www.jmir.org/2024/1/e58888",
url="http://www.ncbi.nlm.nih.gov/pubmed/39331537"
}


@Article{info:doi/10.2196/55472,
author="Trinkley, E. Katy
and Maw, M. Anna
and Torres, Huebner Cristina
and Huebschmann, G. Amy
and Glasgow, E. Russell",
title="Applying Implementation Science to Advance Electronic Health Record--Driven Learning Health Systems: Case Studies, Challenges, and Recommendations",
journal="J Med Internet Res",
year="2024",
month="Oct",
day="7",
volume="26",
pages="e55472",
keywords="learning health systems",
keywords="implementation science",
keywords="chronic care",
keywords="electronic health record",
keywords="evidence-based medicine",
keywords="information technology",
keywords="research and technology",
doi="10.2196/55472",
url="https://www.jmir.org/2024/1/e55472",
url="http://www.ncbi.nlm.nih.gov/pubmed/39374069"
}


@Article{info:doi/10.2196/51635,
author="Li, Xingang
and Guo, Heng
and Li, Dandan
and Zheng, Yingming",
title="Engine of Innovation in Hospital Pharmacy: Applications and Reflections of ChatGPT",
journal="J Med Internet Res",
year="2024",
month="Oct",
day="4",
volume="26",
pages="e51635",
keywords="ChatGPT",
keywords="hospital pharmacy",
keywords="natural language processing",
keywords="drug information",
keywords="drug therapy",
keywords="drug interaction",
keywords="scientific research",
keywords="innovation",
keywords="pharmacy",
keywords="quality",
keywords="safety",
keywords="pharmaceutical care",
keywords="tool",
keywords="medical care quality",
doi="10.2196/51635",
url="https://www.jmir.org/2024/1/e51635",
url="http://www.ncbi.nlm.nih.gov/pubmed/39365643"
}


@Article{info:doi/10.2196/59505,
author="AlSaad, Rawan
and Abd-alrazaq, Alaa
and Boughorbel, Sabri
and Ahmed, Arfan
and Renault, Max-Antoine
and Damseh, Rafat
and Sheikh, Javaid",
title="Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook",
journal="J Med Internet Res",
year="2024",
month="Sep",
day="25",
volume="26",
pages="e59505",
keywords="artificial intelligence",
keywords="large language models",
keywords="multimodal large language models",
keywords="multimodality",
keywords="multimodal generative artificial intelligence",
keywords="multimodal generative AI",
keywords="generative artificial intelligence",
keywords="generative AI",
keywords="health care",
doi="10.2196/59505",
url="https://www.jmir.org/2024/1/e59505"
}


@Article{info:doi/10.2196/59939,
author="Robinson, Athena
and Flom, Megan
and Forman-Hoffman, L. Valerie
and Histon, Trina
and Levy, Monique
and Darcy, Alison
and Ajayi, Toluwalase
and Mohr, C. David
and Wicks, Paul
and Greene, Carolyn
and Montgomery, M. Robert",
title="Equity in Digital Mental Health Interventions in the United States: Where to Next?",
journal="J Med Internet Res",
year="2024",
month="Sep",
day="24",
volume="26",
pages="e59939",
keywords="Digital Mental Health Interventions",
keywords="mental health",
keywords="health equity",
keywords="access to health care",
keywords="health plan implementations",
doi="10.2196/59939",
url="https://www.jmir.org/2024/1/e59939",
url="http://www.ncbi.nlm.nih.gov/pubmed/39316436"
}


@Article{info:doi/10.2196/58198,
author="Fitzpatrick, Skye
and Crenshaw, O. Alexander
and Donkin, Victoria
and Collins, Alexis
and Xiang, Angela
and Earle, A. Elizabeth
and Goenka, Kamya
and Varma, Sonya
and Bushe, Julianne
and McFadden, Tara
and Librado, Andrea
and Monson, Candice",
title="We Have Spent Time, Money, and Effort Making Self-Help Digital Mental Health Interventions: Is Anyone Going to Come to the Party?",
journal="J Med Internet Res",
year="2024",
month="Sep",
day="19",
volume="26",
pages="e58198",
keywords="online interventions",
keywords="self-help",
keywords="digital interventions",
keywords="mental health",
keywords="psychotherapy",
keywords="intervention desirability",
doi="10.2196/58198",
url="https://www.jmir.org/2024/1/e58198"
}


@Article{info:doi/10.2196/58704,
author="Elliot, J. Alex
and Hughes, E. Helen
and Harcourt, E. Sally
and Smith, Sue
and Loveridge, Paul
and Morbey, A. Roger
and Bains, Amardeep
and Edeghere, Obaghe
and Jones, R. Natalia
and Todkill, Daniel
and Smith, E. Gillian",
title="From Fax to Secure File Transfer Protocol: The 25-Year Evolution of Real-Time Syndromic Surveillance in England",
journal="J Med Internet Res",
year="2024",
month="Sep",
day="17",
volume="26",
pages="e58704",
keywords="epidemiology",
keywords="population surveillance",
keywords="sentinel surveillance",
keywords="public health surveillance",
keywords="bioterrorism",
keywords="mass gathering",
keywords="pandemics",
doi="10.2196/58704",
url="https://www.jmir.org/2024/1/e58704"
}


@Article{info:doi/10.2196/58939,
author="Hall, L. Charlotte
and G{\'o}mez Bergin, D. Aislinn
and Rennick-Egglestone, Stefan",
title="Research Into Digital Health Intervention for Mental Health: 25-Year Retrospective on the Ethical and Legal Challenges",
journal="J Med Internet Res",
year="2024",
month="Sep",
day="9",
volume="26",
pages="e58939",
keywords="digital mental health intervention",
keywords="research ethics",
keywords="compliance",
keywords="regulation",
keywords="digital health",
keywords="mobile health",
keywords="mhealth",
keywords="intervention",
keywords="interventions",
keywords="mental health",
keywords="retrospective",
keywords="ethical",
keywords="legal",
keywords="challenge",
keywords="challenges",
doi="10.2196/58939",
url="https://www.jmir.org/2024/1/e58939"
}


@Article{info:doi/10.2196/47882,
author="Copland, R. Rachel
and Hanke, Sten
and Rogers, Amy
and Mpaltadoros, Lampros
and Lazarou, Ioulietta
and Zeltsi, Alexandra
and Nikolopoulos, Spiros
and MacDonald, M. Thomas
and Mackenzie, S. Isla",
title="The Digital Platform and Its Emerging Role in Decentralized Clinical Trials",
journal="J Med Internet Res",
year="2024",
month="Sep",
day="3",
volume="26",
pages="e47882",
keywords="decentralized clinical trials",
keywords="digital platform",
keywords="digitalization",
keywords="clinical trials",
keywords="mobile phone",
doi="10.2196/47882",
url="https://www.jmir.org/2024/1/e47882"
}


@Article{info:doi/10.2196/57896,
author="Xu, Tianhui
and Weng, Huiting
and Liu, Fang
and Yang, Li
and Luo, Yuanyuan
and Ding, Ziwei
and Wang, Qin",
title="Current Status of ChatGPT Use in Medical Education: Potentials, Challenges, and Strategies",
journal="J Med Internet Res",
year="2024",
month="Aug",
day="28",
volume="26",
pages="e57896",
keywords="chat generative pretrained transformer",
keywords="ChatGPT",
keywords="artificial intelligence",
keywords="medical education",
keywords="natural language processing",
keywords="clinical practice",
doi="10.2196/57896",
url="https://www.jmir.org/2024/1/e57896",
url="http://www.ncbi.nlm.nih.gov/pubmed/39196640"
}


@Article{info:doi/10.2196/58726,
author="Suffoletto, Brian",
title="Deceptively Simple yet Profoundly Impactful: Text Messaging Interventions to Support Health",
journal="J Med Internet Res",
year="2024",
month="Aug",
day="27",
volume="26",
pages="e58726",
keywords="SMS intervention",
keywords="behavior",
keywords="intervention",
keywords="review",
keywords="text messaging",
keywords="SMS",
keywords="interventions",
keywords="behaviors",
keywords="behaviour",
keywords="behaviours",
keywords="effectiveness",
keywords="development",
keywords="impact",
keywords="narrative review",
keywords="physical activity",
keywords="diet",
keywords="weight loss",
keywords="mental health",
keywords="substance use",
keywords="meta-analysis",
keywords="chatbot",
keywords="chatbots",
keywords="large language model",
keywords="LLM",
keywords="large language models",
keywords="mobile phone",
doi="10.2196/58726",
url="https://www.jmir.org/2024/1/e58726",
url="http://www.ncbi.nlm.nih.gov/pubmed/39190427"
}


@Article{info:doi/10.2196/46407,
author="Cresswell, Kathrin
and de Keizer, Nicolette
and Magrabi, Farah
and Williams, Robin
and Rigby, Michael
and Prgomet, Mirela
and Kukhareva, Polina
and Wong, Shui-Yee Zoie
and Scott, Philip
and Craven, K. Catherine
and Georgiou, Andrew
and Medlock, Stephanie
and Brender McNair, Jytte
and Ammenwerth, Elske",
title="Evaluating Artificial Intelligence in Clinical Settings---Let Us Not Reinvent the Wheel",
journal="J Med Internet Res",
year="2024",
month="Aug",
day="7",
volume="26",
pages="e46407",
keywords="artificial intelligence",
keywords="evaluation",
keywords="theory",
keywords="patient safety",
keywords="optimisation",
keywords="health care",
keywords="optimization",
doi="10.2196/46407",
url="https://www.jmir.org/2024/1/e46407",
url="http://www.ncbi.nlm.nih.gov/pubmed/39110494"
}


@Article{info:doi/10.2196/59826,
author="Ortiz, Abigail
and Mulsant, H. Benoit",
title="Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?",
journal="J Med Internet Res",
year="2024",
month="Aug",
day="5",
volume="26",
pages="e59826",
keywords="digital phenotype",
keywords="digital phenotyping",
keywords="prediction",
keywords="predictions",
keywords="mental health",
keywords="mental illness",
keywords="mental illnesses",
keywords="mental disorder",
keywords="mental disorders",
keywords="US National Institute of Mental Health",
keywords="NIMH",
keywords="psychiatry",
keywords="psychiatrist",
keywords="psychiatrists",
doi="10.2196/59826",
url="https://www.jmir.org/2024/1/e59826"
}


@Article{info:doi/10.2196/60083,
author="Zhui, Li
and Fenghe, Li
and Xuehu, Wang
and Qining, Fu
and Wei, Ren",
title="Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint",
journal="J Med Internet Res",
year="2024",
month="Aug",
day="1",
volume="26",
pages="e60083",
keywords="medical education",
keywords="artificial intelligence",
keywords="large language models",
keywords="medical ethics",
keywords="AI",
keywords="LLMs",
keywords="ethics",
keywords="academic integrity",
keywords="privacy and data risks",
keywords="data security",
keywords="data protection",
keywords="intellectual property rights",
keywords="educational research",
doi="10.2196/60083",
url="https://www.jmir.org/2024/1/e60083",
url="http://www.ncbi.nlm.nih.gov/pubmed/38971715"
}


@Article{info:doi/10.2196/50355,
author="Han Sr, Wei
and Li 2nd, Yuanting
and Chen 3rd, Changgen
and Huang, Danni
and Wang, Junchao
and Li, Xiang
and Ji, Zhongliang
and Li, Qin
and Li, Zhuang",
title="5G Key Technologies for Helicopter Aviation Medical Rescue",
journal="J Med Internet Res",
year="2024",
month="Aug",
day="1",
volume="26",
pages="e50355",
keywords="low airspace",
keywords="helicopters",
keywords="medical aid",
keywords="5G technology",
keywords="aeronautical engineering",
doi="10.2196/50355",
url="https://www.jmir.org/2024/1/e50355"
}


@Article{info:doi/10.2196/51355,
author="Kepper, M. Maura
and Fowler, A. Lauren
and Kusters, S. Isabelle
and Davis, W. Jean
and Baqer, Manal
and Sagui-Henson, Sara
and Xiao, Yunyu
and Tarfa, Adati
and Yi, C. Jean
and Gibson, Bryan
and Heron, E. Kristin
and Alberts, M. Nicole
and Burgermaster, Marissa
and Njie-Carr, PS Veronica
and Klesges, M. Lisa",
title="Expanding a Behavioral View on Digital Health Access: Drivers and Strategies to Promote Equity",
journal="J Med Internet Res",
year="2024",
month="Aug",
day="1",
volume="26",
pages="e51355",
keywords="digital health",
keywords="health equity",
keywords="mobile health",
keywords="mHealth",
keywords="health care access",
keywords="digital divide",
keywords="behavioral medicine",
keywords="implementation",
keywords="mobile phone",
doi="10.2196/51355",
url="https://www.jmir.org/2024/1/e51355",
url="http://www.ncbi.nlm.nih.gov/pubmed/39088246"
}


@Article{info:doi/10.2196/58764,
author="Lokker, Cynthia
and McKibbon, Ann K.
and Afzal, Muhammad
and Navarro, Tamara
and Linkins, Lori-Ann
and Haynes, Brian R.
and Iorio, Alfonso",
title="The McMaster Health Information Research Unit: Over a Quarter-Century of Health Informatics Supporting Evidence-Based Medicine",
journal="J Med Internet Res",
year="2024",
month="Jul",
day="31",
volume="26",
pages="e58764",
keywords="health informatics",
keywords="evidence-based medicine",
keywords="information retrieval",
keywords="evidence-based",
keywords="health information",
keywords="Boolean",
keywords="natural language processing",
keywords="NLP",
keywords="journal",
keywords="article",
keywords="Health Information Research Unit",
keywords="HiRU",
doi="10.2196/58764",
url="https://www.jmir.org/2024/1/e58764"
}


@Article{info:doi/10.2196/56433,
author="Herold, Fabian
and Theobald, Paula
and Gronwald, Thomas
and Kaushal, Navin
and Zou, Liye
and de Bruin, D. Eling
and Bherer, Louis
and M{\"u}ller, G. Notger",
title="The Best of Two Worlds to Promote Healthy Cognitive Aging: Definition and Classification Approach of Hybrid Physical Training Interventions",
journal="JMIR Aging",
year="2024",
month="Jul",
day="31",
volume="7",
pages="e56433",
keywords="physical activity",
keywords="dementia prevention",
keywords="cognitive health",
keywords="hybrid: aging in place",
keywords="active",
keywords="exercises",
keywords="exercising",
keywords="healthy lifestyle",
keywords="dementia",
keywords="dementia onset",
keywords="dementia care",
keywords="preventive",
keywords="prevention",
keywords="cognition",
keywords="cognitive",
keywords="hybrid",
keywords="hybrid model",
doi="10.2196/56433",
url="https://aging.jmir.org/2024/1/e56433",
url="http://www.ncbi.nlm.nih.gov/pubmed/39083334"
}


@Article{info:doi/10.2196/58846,
author="Sweeting, Anna
and Warncken, A. Katie
and Patel, Martyn",
title="The Role of Assistive Technology in Enabling Older Adults to Achieve Independent Living: Past and Future",
journal="J Med Internet Res",
year="2024",
month="Jul",
day="30",
volume="26",
pages="e58846",
keywords="assistive technology",
keywords="older adults",
keywords="users",
keywords="aging",
keywords="aging in place",
keywords="UK",
keywords="cocreation",
keywords="research trial",
keywords="independent living",
keywords="North Norfolk",
keywords="disability",
keywords="injury",
keywords="tool",
keywords="use",
keywords="design",
keywords="barrier",
doi="10.2196/58846",
url="https://www.jmir.org/2024/1/e58846"
}


@Article{info:doi/10.2196/47645,
author="Cai, Yu-Qing
and Gong, Da-Xin
and Tang, Li-Ying
and Cai, Yue
and Li, Hui-Jun
and Jing, Tian-Ci
and Gong, Mengchun
and Hu, Wei
and Zhang, Zhen-Wei
and Zhang, Xingang
and Zhang, Guang-Wei",
title="Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions",
journal="J Med Internet Res",
year="2024",
month="Jul",
day="26",
volume="26",
pages="e47645",
keywords="cardiovascular diseases",
keywords="risk prediction models",
keywords="machine learning",
keywords="problem",
keywords="solution",
doi="10.2196/47645",
url="https://www.jmir.org/2024/1/e47645"
}


@Article{info:doi/10.2196/58390,
author="Adrien, Vladimir
and Bosc, Nicolas
and Peccia Galletto, Claire
and Diot, Thomas
and Claverie, Damien
and Reggente, Nicco
and Trousselard, Marion
and Bui, Eric
and Baubet, Thierry
and Schoeller, F{\'e}lix",
title="Enhancing Agency in Posttraumatic Stress Disorder Therapies Through Sensorimotor Technologies",
journal="J Med Internet Res",
year="2024",
month="Jul",
day="1",
volume="26",
pages="e58390",
keywords="posttraumatic stress disorder",
keywords="PTSD",
keywords="agency",
keywords="proprioception",
keywords="trauma",
keywords="self-control",
keywords="sensorimotor technology",
keywords="enactive perspective",
keywords="peritraumatic dissociation",
keywords="proprioceptive reafferent fibers",
keywords="gesture sonification devices",
doi="10.2196/58390",
url="https://www.jmir.org/2024/1/e58390",
url="http://www.ncbi.nlm.nih.gov/pubmed/38742989"
}


@Article{info:doi/10.2196/50295,
author="S{\'a}ez, Carlos
and Ferri, Pablo
and Garc{\'i}a-G{\'o}mez, M. Juan",
title="Resilient Artificial Intelligence in Health: Synthesis and Research Agenda Toward Next-Generation Trustworthy Clinical Decision Support",
journal="J Med Internet Res",
year="2024",
month="Jun",
day="28",
volume="26",
pages="e50295",
keywords="artificial intelligence",
keywords="clinical decision support",
keywords="resilience",
keywords="clinical medicine",
keywords="machine learning",
keywords="data quality",
keywords="fairness",
keywords="trustworthy AI",
keywords="regulation",
keywords="AI regulation",
keywords="AI Act",
keywords="EHDS",
keywords="European Health Data Space",
keywords="emergency medical dispatch",
keywords="clinical decision support systems",
doi="10.2196/50295",
url="https://www.jmir.org/2024/1/e50295",
url="http://www.ncbi.nlm.nih.gov/pubmed/38941134"
}


@Article{info:doi/10.2196/49394,
author="Salmi, Liz
and Peereboom, Danielle
and Dorr, A. David
and Graham, R. Leilani
and Wolff, L. Jennifer
and DesRoches, M. Catherine",
title="Patient Portals Fail to Collect Structured Information About Who Else is Involved in a Person's Care",
journal="J Med Internet Res",
year="2024",
month="Jun",
day="27",
volume="26",
pages="e49394",
keywords="patient portals",
keywords="shared access",
keywords="proxy access",
keywords="portal delegates",
keywords="caregivers",
keywords="care partners",
keywords="health IT",
keywords="electronic health records",
doi="10.2196/49394",
url="https://www.jmir.org/2024/1/e49394"
}


@Article{info:doi/10.2196/49084,
author="H{\"a}gglund, Maria
and Kharko, Anna
and B{\"a}rk{\aa}s, Annika
and Blease, Charlotte
and Cajander, {\AA}sa
and DesRoches, Catherine
and Fagerlund, Johansen Asbj{\o}rn
and Hagstr{\"o}m, Josefin
and Huvila, Isto
and H{\"o}rhammer, Iiris
and Kane, Bridget
and Klein, O. Gunnar
and Kristiansen, Eli
and Moll, Jonas
and Muli, Irene
and Rexhepi, Hanife
and Riggare, Sara
and Ross, Peeter
and Scandurra, Isabella
and Simola, Saija
and Soone, Hedvig
and Wang, Bo
and Ghorbanian Zolbin, Maedeh
and {\AA}hlfeldt, Rose-Mharie
and Kujala, Sari
and Johansen, Alise Monika",
title="A Nordic Perspective on Patient Online Record Access and the European Health Data Space",
journal="J Med Internet Res",
year="2024",
month="Jun",
day="27",
volume="26",
pages="e49084",
keywords="patients' online record access",
keywords="open notes",
keywords="electronic health records",
keywords="EHR",
keywords="patient portals",
keywords="European Health Data Space",
keywords="digital health",
keywords="health care",
keywords="patient access",
doi="10.2196/49084",
url="https://www.jmir.org/2024/1/e49084",
url="http://www.ncbi.nlm.nih.gov/pubmed/38935430"
}


@Article{info:doi/10.2196/56780,
author="Luo, Xufei
and Chen, Fengxian
and Zhu, Di
and Wang, Ling
and Wang, Zijun
and Liu, Hui
and Lyu, Meng
and Wang, Ye
and Wang, Qi
and Chen, Yaolong",
title="Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses",
journal="J Med Internet Res",
year="2024",
month="Jun",
day="25",
volume="26",
pages="e56780",
keywords="large language model",
keywords="ChatGPT",
keywords="systematic review",
keywords="chatbot",
keywords="meta-analysis",
doi="10.2196/56780",
url="https://www.jmir.org/2024/1/e56780",
url="http://www.ncbi.nlm.nih.gov/pubmed/38819655"
}


@Article{info:doi/10.2196/54518,
author="Bolinger, Elaina
and Tyl, Benoit",
title="Key Considerations for Designing Clinical Studies to Evaluate Digital Health Solutions",
journal="J Med Internet Res",
year="2024",
month="Jun",
day="17",
volume="26",
pages="e54518",
keywords="evidence generation",
keywords="clinical robustness",
keywords="clinical trials",
keywords="digital health",
keywords="solutions",
keywords="digital health solutions",
keywords="DHS",
keywords="health care system",
keywords="patients",
keywords="patient",
keywords="individuals",
keywords="individual",
keywords="healthcare system",
keywords="control arm adaptations",
keywords="randomization methods",
keywords="real-world data",
keywords="platform research",
doi="10.2196/54518",
url="https://www.jmir.org/2024/1/e54518",
url="http://www.ncbi.nlm.nih.gov/pubmed/38885020"
}


@Article{info:doi/10.2196/53897,
author="Collins, Luke
and Nicholson, Niamh
and Lidbetter, Nicky
and Smithson, Dave
and Baker, Paul",
title="Implementation of Anxiety UK's Ask Anxia Chatbot Service: Lessons Learned",
journal="JMIR Hum Factors",
year="2024",
month="Jun",
day="17",
volume="11",
pages="e53897",
keywords="chatbots",
keywords="anxiety disorders",
keywords="corpus linguistics",
keywords="conversational agents",
keywords="web-based care",
doi="10.2196/53897",
url="https://humanfactors.jmir.org/2024/1/e53897",
url="http://www.ncbi.nlm.nih.gov/pubmed/38885016"
}


@Article{info:doi/10.2196/50274,
author="Ball, Robert
and Talal, H. Andrew
and Dang, Oanh
and Mu{\~n}oz, Monica
and Markatou, Marianthi",
title="Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration",
journal="J Med Internet Res",
year="2024",
month="Jun",
day="6",
volume="26",
pages="e50274",
keywords="drug safety",
keywords="artificial intelligence",
keywords="machine learning",
keywords="natural language processing",
keywords="causal inference",
keywords="case-based reasoning",
keywords="clinical decision support",
doi="10.2196/50274",
url="https://www.jmir.org/2024/1/e50274",
url="http://www.ncbi.nlm.nih.gov/pubmed/38842929"
}


@Article{info:doi/10.2196/50344,
author="Zawati, H. Ma'n
and Lang, Michael",
title="Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility",
journal="J Med Internet Res",
year="2024",
month="Jun",
day="5",
volume="26",
pages="e50344",
keywords="artificial intelligence",
keywords="applications",
keywords="mobile health",
keywords="mHealth",
keywords="bias",
keywords="biases",
keywords="professional obligations",
keywords="professional obligation",
keywords="app",
keywords="apps",
keywords="application",
keywords="symptom checker",
keywords="symptom checkers",
keywords="diagnose",
keywords="diagnosis",
keywords="self-diagnose",
keywords="self-diagnosis",
keywords="ethic",
keywords="ethics",
keywords="ethical",
keywords="regulation",
keywords="regulations",
keywords="legal",
keywords="law",
keywords="laws",
keywords="safety",
keywords="mobile phone",
doi="10.2196/50344",
url="https://www.jmir.org/2024/1/e50344",
url="http://www.ncbi.nlm.nih.gov/pubmed/38838309"
}


@Article{info:doi/10.2196/47682,
author="Janssen, Anna
and Donnelly, Candice
and Shaw, Tim",
title="A Taxonomy for Health Information Systems",
journal="J Med Internet Res",
year="2024",
month="May",
day="31",
volume="26",
pages="e47682",
keywords="eHealth",
keywords="digital health",
keywords="electronic health data",
keywords="data revolution",
keywords="actionable data",
keywords="mobile phone",
doi="10.2196/47682",
url="https://www.jmir.org/2024/1/e47682",
url="http://www.ncbi.nlm.nih.gov/pubmed/38820575"
}


@Article{info:doi/10.2196/54974,
author="Lee, Vien V.
and van der Lubbe, C. Stephanie C.
and Goh, Hoon Lay
and Valderas, Maria Jose",
title="Harnessing ChatGPT for Thematic Analysis: Are We Ready?",
journal="J Med Internet Res",
year="2024",
month="May",
day="31",
volume="26",
pages="e54974",
keywords="ChatGPT",
keywords="thematic analysis",
keywords="natural language processing",
keywords="NLP",
keywords="medical research",
keywords="qualitative research",
keywords="qualitative data",
keywords="technology",
keywords="viewpoint",
keywords="efficiency",
doi="10.2196/54974",
url="https://www.jmir.org/2024/1/e54974",
url="http://www.ncbi.nlm.nih.gov/pubmed/38819896"
}


@Article{info:doi/10.2196/51234,
author="Claggett, Jennifer
and Petter, Stacie
and Joshi, Amol
and Ponzio, Todd
and Kirkendall, Eric",
title="An Infrastructure Framework for Remote Patient Monitoring Interventions and Research",
journal="J Med Internet Res",
year="2024",
month="May",
day="30",
volume="26",
pages="e51234",
keywords="remote patient monitoring",
keywords="eHealth",
keywords="telehealth",
keywords="telemonitoring",
keywords="telemedicine",
keywords="digital infrastructure",
keywords="clinical decision-making",
doi="10.2196/51234",
url="https://www.jmir.org/2024/1/e51234",
url="http://www.ncbi.nlm.nih.gov/pubmed/38815263"
}


@Article{info:doi/10.2196/46160,
author="Wang, Guanyi
and Chen, Chen
and Jiang, Ziyu
and Li, Gang
and Wu, Can
and Li, Sheng",
title="Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology",
journal="J Med Internet Res",
year="2024",
month="May",
day="28",
volume="26",
pages="e46160",
keywords="NFTs",
keywords="biobanks",
keywords="blockchains",
keywords="health care",
keywords="medical big data",
keywords="sustainability",
keywords="blockchain platform",
keywords="platform",
keywords="tracing",
keywords="virtual",
keywords="biomedical data",
keywords="transformation",
keywords="development",
keywords="promoted",
doi="10.2196/46160",
url="https://www.jmir.org/2024/1/e46160",
url="http://www.ncbi.nlm.nih.gov/pubmed/38805706"
}


@Article{info:doi/10.2196/54821,
author="MacPherson, Megan
and Rourke, Sarah",
title="The Power of Rapid Reviews for Bridging the Knowledge-to-Action Gap in Evidence-Based Virtual Health Care",
journal="J Med Internet Res",
year="2024",
month="May",
day="22",
volume="26",
pages="e54821",
keywords="virtual health care",
keywords="rapid reviews",
keywords="evidence synthesis",
keywords="evidence-informed decision-making",
keywords="knowledge translation",
doi="10.2196/54821",
url="https://www.jmir.org/2024/1/e54821",
url="http://www.ncbi.nlm.nih.gov/pubmed/38776542"
}


@Article{info:doi/10.2196/50204,
author="Vall{\'e}e, Alexandre",
title="Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins",
journal="J Med Internet Res",
year="2024",
month="May",
day="13",
volume="26",
pages="e50204",
keywords="digital health",
keywords="digital twin",
keywords="personalized medicine",
keywords="prevention",
keywords="prediction",
keywords="health care system",
doi="10.2196/50204",
url="https://www.jmir.org/2024/1/e50204",
url="http://www.ncbi.nlm.nih.gov/pubmed/38739913"
}


@Article{info:doi/10.2196/53830,
author="Wei{\ss}, Martin
and Gr{\"u}ndahl, Marthe
and Jachnik, Annalena
and Lampe, Caya Emilia
and Malik, Ishitaa
and Rittner, Lydia Heike
and Sommer, Claudia
and Hein, Grit",
title="The Effect of Everyday-Life Social Contact on Pain",
journal="J Med Internet Res",
year="2024",
month="Apr",
day="30",
volume="26",
pages="e53830",
keywords="social contact",
keywords="pain",
keywords="ecological momentary assessment",
doi="10.2196/53830",
url="https://www.jmir.org/2024/1/e53830",
url="http://www.ncbi.nlm.nih.gov/pubmed/38687594"
}


@Article{info:doi/10.2196/56764,
author="Choudhury, Avishek
and Chaudhry, Zaira",
title="Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals",
journal="J Med Internet Res",
year="2024",
month="Apr",
day="25",
volume="26",
pages="e56764",
keywords="trust",
keywords="ChatGPT",
keywords="human factors",
keywords="healthcare",
keywords="LLMs",
keywords="large language models",
keywords="LLM user trust",
keywords="AI accountability",
keywords="artificial intelligence",
keywords="AI technology",
keywords="technologies",
keywords="effectiveness",
keywords="policy",
keywords="medical student",
keywords="medical students",
keywords="risk factor",
keywords="quality of care",
keywords="healthcare professional",
keywords="healthcare professionals",
keywords="human element",
doi="10.2196/56764",
url="https://www.jmir.org/2024/1/e56764",
url="http://www.ncbi.nlm.nih.gov/pubmed/38662419"
}


@Article{info:doi/10.2196/50201,
author="Huguet, Nathalie
and Chen, Jinying
and Parikh, B. Ravi
and Marino, Miguel
and Flocke, A. Susan
and Likumahuwa-Ackman, Sonja
and Bekelman, Justin
and DeVoe, E. Jennifer",
title="Applying Machine Learning Techniques to Implementation Science",
journal="Online J Public Health Inform",
year="2024",
month="Apr",
day="22",
volume="16",
pages="e50201",
keywords="implementation science",
keywords="machine learning",
keywords="implementation strategies",
keywords="techniques",
keywords="implementation",
keywords="prediction",
keywords="adaptation",
keywords="acceptance",
keywords="challenges",
keywords="scientist",
doi="10.2196/50201",
url="https://ojphi.jmir.org/2024/1/e50201",
url="http://www.ncbi.nlm.nih.gov/pubmed/38648094"
}


@Article{info:doi/10.2196/51138,
author="Washington, Peter",
title="A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health",
journal="J Med Internet Res",
year="2024",
month="Apr",
day="11",
volume="26",
pages="e51138",
keywords="crowdsourcing",
keywords="digital medicine",
keywords="human-in-the-loop",
keywords="human in the loop",
keywords="human-AI collaboration",
keywords="machine learning",
keywords="precision health",
keywords="artificial intelligence",
keywords="AI",
doi="10.2196/51138",
url="https://www.jmir.org/2024/1/e51138",
url="http://www.ncbi.nlm.nih.gov/pubmed/38602750"
}


@Article{info:doi/10.2196/47017,
author="Sun, Wan-Na
and Kao, Chi-Yin",
title="The Challenges in Using eHealth Decision Resources for Surrogate Decision-Making in the Intensive Care Unit",
journal="J Med Internet Res",
year="2024",
month="Apr",
day="1",
volume="26",
pages="e47017",
keywords="decision-making",
keywords="eHealth",
keywords="intensive care unit",
keywords="literacy",
keywords="surrogate",
keywords="mobile phone",
doi="10.2196/47017",
url="https://www.jmir.org/2024/1/e47017",
url="http://www.ncbi.nlm.nih.gov/pubmed/38557504"
}


@Article{info:doi/10.2196/44574,
author="Ulfsdotter Gunnarsson, Katarina
and Henriksson, Martin
and Bendtsen, Marcus",
title="Digital Alcohol Interventions Could Be Part of the Societal Response to Harmful Consumption, but We Know Little About Their Long-Term Costs and Health Outcomes",
journal="J Med Internet Res",
year="2024",
month="Mar",
day="27",
volume="26",
pages="e44574",
keywords="alcohol",
keywords="health economics",
keywords="telemedicine",
keywords="psychological harm",
keywords="eHealth",
keywords="digital intervention",
keywords="decision-making",
doi="10.2196/44574",
url="https://www.jmir.org/2024/1/e44574",
url="http://www.ncbi.nlm.nih.gov/pubmed/38536228"
}


@Article{info:doi/10.2196/46971,
author="Shaw, James
and Glover, Wiljeana",
title="The Political Economy of Digital Health Equity: Structural Analysis",
journal="J Med Internet Res",
year="2024",
month="Mar",
day="26",
volume="26",
pages="e46971",
keywords="digital health equity",
keywords="health equity",
keywords="health policy",
keywords="telemedicine",
keywords="digital care",
keywords="political economy",
keywords="race",
keywords="ethnicity",
keywords="socioeconomic",
keywords="policy",
doi="10.2196/46971",
url="https://www.jmir.org/2024/1/e46971",
url="http://www.ncbi.nlm.nih.gov/pubmed/38530341"
}


@Article{info:doi/10.2196/48493,
author="Tretter, Max",
title="Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies",
journal="J Med Internet Res",
year="2024",
month="Mar",
day="25",
volume="26",
pages="e48493",
keywords="stress",
keywords="anxiety",
keywords="reproductive technologies",
keywords="fetal health",
keywords="epistemology",
keywords="ethics",
doi="10.2196/48493",
url="https://www.jmir.org/2024/1/e48493",
url="http://www.ncbi.nlm.nih.gov/pubmed/38526554"
}


@Article{info:doi/10.2196/53008,
author="Chen, Yan
and Esmaeilzadeh, Pouyan",
title="Generative AI in Medical Practice: In-Depth Exploration of Privacy and Security Challenges",
journal="J Med Internet Res",
year="2024",
month="Mar",
day="8",
volume="26",
pages="e53008",
keywords="artificial intelligence",
keywords="AI",
keywords="generative artificial intelligence",
keywords="generative AI",
keywords="medical practices",
keywords="potential benefits",
keywords="security and privacy threats",
doi="10.2196/53008",
url="https://www.jmir.org/2024/1/e53008",
url="http://www.ncbi.nlm.nih.gov/pubmed/38457208"
}


@Article{info:doi/10.2196/48451,
author="Reynolds, Kelly
and Tejasvi, Trilokraj",
title="Potential Use of ChatGPT in Responding to Patient Questions and Creating Patient Resources",
journal="JMIR Dermatol",
year="2024",
month="Mar",
day="6",
volume="7",
pages="e48451",
keywords="artificial intelligence",
keywords="AI",
keywords="ChatGPT",
keywords="patient resources",
keywords="patient handouts",
keywords="natural language processing software",
keywords="language model",
keywords="language models",
keywords="natural language processing",
keywords="chatbot",
keywords="chatbots",
keywords="conversational agent",
keywords="conversational agents",
keywords="patient education",
keywords="educational resource",
keywords="educational",
doi="10.2196/48451",
url="https://derma.jmir.org/2024/1/e48451",
url="http://www.ncbi.nlm.nih.gov/pubmed/38446541"
}


@Article{info:doi/10.2196/49208,
author="Kim, Meelim
and Patrick, Kevin
and Nebeker, Camille
and Godino, Job
and Stein, Spencer
and Klasnja, Predrag
and Perski, Olga
and Viglione, Clare
and Coleman, Aaron
and Hekler, Eric",
title="The Digital Therapeutics Real-World Evidence Framework: An Approach for Guiding Evidence-Based Digital Therapeutics Design, Development, Testing, and Monitoring",
journal="J Med Internet Res",
year="2024",
month="Mar",
day="5",
volume="26",
pages="e49208",
keywords="accessible",
keywords="decision making",
keywords="decision",
keywords="decision-based evidence-making",
keywords="development",
keywords="digital therapeutics",
keywords="medication adherence",
keywords="monitoring",
keywords="pharmaceuticals",
keywords="public health",
keywords="real-world data",
keywords="real-world evidence",
keywords="safe",
keywords="testing",
keywords="therapeutics",
doi="10.2196/49208",
url="https://www.jmir.org/2024/1/e49208",
url="http://www.ncbi.nlm.nih.gov/pubmed/38441954"
}


@Article{info:doi/10.2196/49022,
author="Bhargava, Hansa
and Salomon, Carmela
and Suresh, Srinivasan
and Chang, Anthony
and Kilian, Rachel
and Stijn, van Diana
and Oriol, Albert
and Low, Daniel
and Knebel, Ashley
and Taraman, Sharief",
title="Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics",
journal="J Med Internet Res",
year="2024",
month="Feb",
day="29",
volume="26",
pages="e49022",
keywords="artificial intelligence",
keywords="pediatrics",
keywords="autism spectrum disorder",
keywords="ASD",
keywords="disparities",
keywords="pediatric",
keywords="youth",
keywords="child",
keywords="children",
keywords="autism",
keywords="autistic",
keywords="barrier",
keywords="barriers",
keywords="clinical application",
keywords="clinical applications",
keywords="professional development",
keywords="continuing education",
keywords="continuing medical education",
keywords="CME",
keywords="implementation",
doi="10.2196/49022",
url="https://www.jmir.org/2024/1/e49022",
url="http://www.ncbi.nlm.nih.gov/pubmed/38421690"
}


@Article{info:doi/10.2196/50000,
author="Dong, Pei
and Mao, Ayan
and Qiu, Wuqi
and Li, Guanglin",
title="Improvement of Cancer Prevention and Control: Reflection on the Role of Emerging Information Technologies",
journal="J Med Internet Res",
year="2024",
month="Feb",
day="27",
volume="26",
pages="e50000",
keywords="emerging information technologies",
keywords="cancer",
keywords="prevention and control",
doi="10.2196/50000",
url="https://www.jmir.org/2024/1/e50000",
url="http://www.ncbi.nlm.nih.gov/pubmed/38412009"
}


@Article{info:doi/10.2196/48989,
author="Chen, Chih-Wei
and Walter, Paul
and Wei, Cheng-Chung James",
title="Using ChatGPT-Like Solutions to Bridge the Communication Gap Between Patients With Rheumatoid Arthritis and Health Care Professionals",
journal="JMIR Med Educ",
year="2024",
month="Feb",
day="27",
volume="10",
pages="e48989",
keywords="rheumatoid arthritis",
keywords="ChatGPT",
keywords="artificial intelligence",
keywords="communication gap",
keywords="privacy",
keywords="data management",
doi="10.2196/48989",
url="https://mededu.jmir.org/2024/1/e48989",
url="http://www.ncbi.nlm.nih.gov/pubmed/38412022"
}


@Article{info:doi/10.2196/47667,
author="Jeong, Yejin
and Crowell, Trevor
and Devon-Sand, Anna
and Sakata, Theadora
and Sattler, Amelia
and Shah, Shreya
and Tsai, Timothy
and Lin, Steven",
title="Building Pandemic-Resilient Primary Care Systems: Lessons Learned From COVID-19",
journal="J Med Internet Res",
year="2024",
month="Feb",
day="23",
volume="26",
pages="e47667",
keywords="barrier",
keywords="COVID-19",
keywords="digital health",
keywords="implementation",
keywords="internet-based care",
keywords="pandemic",
keywords="primary care",
keywords="resilience",
keywords="resilient system",
keywords="telehealth",
keywords="telemedicine",
doi="10.2196/47667",
url="https://www.jmir.org/2024/1/e47667",
url="http://www.ncbi.nlm.nih.gov/pubmed/38393776"
}


@Article{info:doi/10.2196/46638,
author="Benton, S. Jack
and French, P. David",
title="Untapped Potential of Unobtrusive Observation for Studying Health Behaviors",
journal="JMIR Public Health Surveill",
year="2024",
month="Feb",
day="21",
volume="10",
pages="e46638",
keywords="health behavior",
keywords="environments",
keywords="context",
keywords="unobtrusive observation",
keywords="video technology",
keywords="computer vision",
doi="10.2196/46638",
url="https://publichealth.jmir.org/2024/1/e46638",
url="http://www.ncbi.nlm.nih.gov/pubmed/38381483"
}


@Article{info:doi/10.2196/41670,
author="Stendal, Karen
and Bernabe, C. Rosemarie D. L.",
title="Extended Reality---New Opportunity for People With Disability? Practical and Ethical Considerations",
journal="J Med Internet Res",
year="2024",
month="Feb",
day="13",
volume="26",
pages="e41670",
keywords="extended reality",
keywords="virtual worlds",
keywords="virtual reality",
keywords="disability",
keywords="practical",
keywords="ethical",
keywords="technology",
keywords="virtual",
keywords="reality",
keywords="development",
keywords="research",
keywords="challenges",
doi="10.2196/41670",
url="https://www.jmir.org/2024/1/e41670",
url="http://www.ncbi.nlm.nih.gov/pubmed/38349731"
}


@Article{info:doi/10.2196/51671,
author="Yedinak, Jesse
and Krieger, S. Maxwell
and Joseph, Raynald
and Levin, Stacey
and Edwards, Sarah
and Bailer, A. Dennis
and Goyer, Jonathan
and Daley Ndoye, Colleen
and Schultz, Cathy
and Koziol, Jennifer
and Elmaleh, Rachael
and Hallowell, D. Benjamin
and Hampson, Todd
and Duong, Ellen
and Shihipar, Abdullah
and Goedel, C. William
and Marshall, DL Brandon",
title="Public Health Dashboards in Overdose Prevention: The Rhode Island Approach to Public Health Data Literacy, Partnerships, and Action",
journal="J Med Internet Res",
year="2024",
month="Feb",
day="12",
volume="26",
pages="e51671",
keywords="community engagement",
keywords="data dashboards",
keywords="data literacy",
keywords="health literacy",
keywords="overdose",
keywords="public health communication",
keywords="public health surveillance",
doi="10.2196/51671",
url="https://www.jmir.org/2024/1/e51671",
url="http://www.ncbi.nlm.nih.gov/pubmed/38345849"
}


@Article{info:doi/10.2196/51980,
author="Sharma, Yashoda
and Saha, Anindita
and Goldsack, C. Jennifer",
title="Defining the Dimensions of Diversity to Promote Inclusion in the Digital Era of Health Care: A Lexicon",
journal="JMIR Public Health Surveill",
year="2024",
month="Feb",
day="9",
volume="10",
pages="e51980",
keywords="digital medicine",
keywords="inclusion",
keywords="digital health technology/product",
keywords="digital health",
keywords="digital technology",
keywords="health care system",
keywords="innovation",
keywords="equity",
keywords="quality",
keywords="disparity",
keywords="digital era",
keywords="digital access",
keywords="digital literacy",
doi="10.2196/51980",
url="https://publichealth.jmir.org/2024/1/e51980",
url="http://www.ncbi.nlm.nih.gov/pubmed/38335013"
}


@Article{info:doi/10.2196/53225,
author="Sezgin, Emre",
title="Redefining Virtual Assistants in Health Care: The Future With Large Language Models",
journal="J Med Internet Res",
year="2024",
month="Jan",
day="19",
volume="26",
pages="e53225",
keywords="large language models",
keywords="voice assistants",
keywords="virtual assistants",
keywords="chatbots",
keywords="conversational agents",
keywords="health care",
doi="10.2196/53225",
url="https://www.jmir.org/2024/1/e53225",
url="http://www.ncbi.nlm.nih.gov/pubmed/38241074"
}


@Article{info:doi/10.2196/51183,
author="Blease, Charlotte
and Torous, John
and McMillan, Brian
and H{\"a}gglund, Maria
and Mandl, D. Kenneth",
title="Generative Language Models and Open Notes: Exploring the Promise and Limitations",
journal="JMIR Med Educ",
year="2024",
month="Jan",
day="4",
volume="10",
pages="e51183",
keywords="ChatGPT",
keywords="generative language models",
keywords="large language models",
keywords="medical education",
keywords="Open Notes",
keywords="online record access",
keywords="patient-centered care",
keywords="empathy",
keywords="language model",
keywords="documentation",
keywords="communication tool",
keywords="clinical documentation",
doi="10.2196/51183",
url="https://mededu.jmir.org/2024/1/e51183",
url="http://www.ncbi.nlm.nih.gov/pubmed/38175688"
}


@Article{info:doi/10.2196/49881,
author="Massey, M. Philip
and Murray, M. Regan
and Chiang, C. Shawn
and Russell, M. Alex
and Yudell, A. Michael",
title="Social Media, Public Health Research, and Vulnerability: Considerations to Advance Ethical Guidelines and Strengthen Future Research",
journal="JMIR Public Health Surveill",
year="2023",
month="Dec",
day="29",
volume="9",
pages="e49881",
keywords="research ethics",
keywords="social media",
keywords="vulnerable populations",
keywords="public health",
keywords="ethical guidelines",
keywords="algorithms",
keywords="manipulation",
doi="10.2196/49881",
url="https://publichealth.jmir.org/2023/1/e49881",
url="http://www.ncbi.nlm.nih.gov/pubmed/38157235"
}


@Article{info:doi/10.2196/48702,
author="Pedrera-Jim{\'e}nez, Miguel
and Garc{\'i}a-Barrio, Noelia
and Frid, Santiago
and Moner, David
and Bosc{\'a}-Tom{\'a}s, Diego
and Lozano-Rub{\'i}, Raimundo
and Kalra, Dipak
and Beale, Thomas
and Mu{\~n}oz-Carrero, Adolfo
and Serrano-Balazote, Pablo",
title="Can OpenEHR, ISO 13606, and HL7 FHIR Work Together? An Agnostic Approach for the Selection and Application of Electronic Health Record Standards to the Next-Generation Health Data Spaces",
journal="J Med Internet Res",
year="2023",
month="Dec",
day="28",
volume="25",
pages="e48702",
keywords="electronic health records",
keywords="FAIR principles",
keywords="health information standards",
keywords="HL7 FHIR",
keywords="ISO 13606",
keywords="OpenEHR",
keywords="semantics",
doi="10.2196/48702",
url="https://www.jmir.org/2023/1/e48702",
url="http://www.ncbi.nlm.nih.gov/pubmed/38153779"
}


@Article{info:doi/10.2196/50158,
author="Welzel, Cindy
and Cotte, Fabienne
and Wekenborg, Magdalena
and Vasey, Baptiste
and McCulloch, Peter
and Gilbert, Stephen",
title="Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools",
journal="J Med Internet Res",
year="2023",
month="Dec",
day="20",
volume="25",
pages="e50158",
keywords="health technology assessment",
keywords="human factors",
keywords="postmarket surveillance",
keywords="software as a medical device",
keywords="digital health tools",
keywords="quality assessment",
keywords="quality improvement",
keywords="regulatory framework",
keywords="user experience",
keywords="health care",
doi="10.2196/50158",
url="https://www.jmir.org/2023/1/e50158",
url="http://www.ncbi.nlm.nih.gov/pubmed/38117545"
}


@Article{info:doi/10.2196/44265,
author="Nourse, Rebecca
and Dingler, Tilman
and Kelly, Jaimon
and Kwasnicka, Dominika
and Maddison, Ralph",
title="The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions",
journal="J Med Internet Res",
year="2023",
month="Dec",
day="18",
volume="25",
pages="e44265",
keywords="smart home",
keywords="health",
keywords="chronic condition",
keywords="chronic illness",
keywords="digital health",
keywords="technology",
keywords="behavior change",
keywords="wearable",
keywords="smart technology",
keywords="smart health",
keywords="economic",
keywords="cost",
keywords="security",
keywords="data storage",
keywords="implementation",
doi="10.2196/44265",
url="https://www.jmir.org/2023/1/e44265",
url="http://www.ncbi.nlm.nih.gov/pubmed/38109188"
}


@Article{info:doi/10.2196/45364,
author="Pereira, Margarida Ana
and J{\'a}come, Cristina
and Jacinto, Tiago
and Amaral, Rita
and Pereira, Mariana
and S{\'a}-Sousa, Ana
and Couto, Mariana
and Vieira-Marques, Pedro
and Martinho, Diogo
and Vieira, Ana
and Almeida, Ana
and Martins, Constantino
and Marreiros, Goreti
and Freitas, Alberto
and Almeida, Rute
and Fonseca, A. Jo{\~a}o",
title="Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems",
journal="J Med Internet Res",
year="2023",
month="Dec",
day="13",
volume="25",
pages="e45364",
keywords="knowledge base",
keywords="recommendations",
keywords="personalization",
keywords="clinical decision support system",
keywords="chronic obstructive respiratory diseases",
keywords="mobile phone",
doi="10.2196/45364",
url="https://www.jmir.org/2023/1/e45364",
url="http://www.ncbi.nlm.nih.gov/pubmed/38090790"
}


@Article{info:doi/10.2196/54527,
author="Woods, S. Susan
and Oldenburg, Jan
and van Leeuwen, Daniel
and Sarasohn-Kahn, Jane
and Hudson, F. Matthew",
title="An Extraordinary Voice Expressed Through Humor: A Tribute to Casey Quinlan",
journal="J Particip Med",
year="2023",
month="Dec",
day="12",
volume="15",
pages="e54527",
keywords="participatory medicine",
keywords="co-design",
keywords="co-production",
keywords="patient engagement",
keywords="patient empowerment",
keywords="electronic health record",
keywords="patient portal",
keywords="open notes",
keywords="evidence-based medicine",
keywords="shared decision-making",
doi="10.2196/54527",
url="https://jopm.jmir.org/2023/1/e54527",
url="http://www.ncbi.nlm.nih.gov/pubmed/38085561"
}


@Article{info:doi/10.2196/42310,
author="Loveys, Kate
and Lloyd, Erica
and Sagar, Mark
and Broadbent, Elizabeth",
title="Development of a Virtual Human for Supporting Tobacco Cessation During the COVID-19 Pandemic",
journal="J Med Internet Res",
year="2023",
month="Dec",
day="5",
volume="25",
pages="e42310",
keywords="virtual human",
keywords="conversational agent",
keywords="tobacco cessation",
keywords="eHealth",
keywords="COVID-19",
keywords="public health",
keywords="virtual health worker",
keywords="smoking cessation",
keywords="artificial intelligence",
keywords="AI",
keywords="chatbot",
keywords="digital health intervention",
keywords="web-based health",
keywords="mobile phone",
doi="10.2196/42310",
url="https://www.jmir.org/2023/1/e42310",
url="http://www.ncbi.nlm.nih.gov/pubmed/38051571"
}


@Article{info:doi/10.2196/51603,
author="Thirunavukarasu, James Arun",
title="How Can the Clinical Aptitude of AI Assistants Be Assayed?",
journal="J Med Internet Res",
year="2023",
month="Dec",
day="5",
volume="25",
pages="e51603",
keywords="artificial intelligence",
keywords="AI",
keywords="validation",
keywords="clinical decision aid",
keywords="artificial general intelligence",
keywords="foundation models",
keywords="large language models",
keywords="LLM",
keywords="language model",
keywords="ChatGPT",
keywords="chatbot",
keywords="chatbots",
keywords="conversational agent",
keywords="conversational agents",
keywords="pitfall",
keywords="pitfalls",
keywords="pain point",
keywords="pain points",
keywords="implementation",
keywords="barrier",
keywords="barriers",
keywords="challenge",
keywords="challenges",
doi="10.2196/51603",
url="https://www.jmir.org/2023/1/e51603",
url="http://www.ncbi.nlm.nih.gov/pubmed/38051572"
}


@Article{info:doi/10.2196/47706,
author="Fuad, Anis
and Tiara, Agi
and Kusumasari, Amalia Rizqiani
and Rimawati, Rimawati
and Murhandarwati, Herdiana E. Elsa",
title="Introducing a Regulatory Sandbox Into the Indonesian Health System Using e-Malaria as a Use Case: Participatory Action Study",
journal="J Med Internet Res",
year="2023",
month="Dec",
day="5",
volume="25",
pages="e47706",
keywords="regulatory sandbox",
keywords="digital health",
keywords="disruptive technologies",
keywords="e-malaria",
keywords="participatory action research",
keywords="Indonesia",
abstract="Background: Regulatory sandboxes offer an alternative solution to address regulatory challenges in adopting disruptive technologies. Although regulatory sandboxes have been widely implemented in the financial sector across more than 50 countries, their application to the health sector remains limited. Objective: This study aims to explore stakeholders' perspectives on introducing a regulatory sandbox into the Indonesian health system using e-malaria as a use case. Methods: Using a participatory action research approach, this study conducted qualitative research, including desk reviews, focus group discussions, and in-depth interviews with stakeholders. This study sought to understand stakeholders' concerns and interests regarding the regulatory sandbox and to collaboratively develop a regulatory sandbox model to support the malaria program. Results: The study revealed that most stakeholders had limited awareness of the regulatory sandbox concept. Concerns have been raised regarding the time required to establish regulations, knowledge gaps among stakeholders, data protection issues, and limited digital infrastructure in malaria endemic areas. Existing regulations have been found to be inadequate to accommodate disruptive healthtech for malaria. Nevertheless, through a collaborative process, stakeholders successfully developed a regulatory sandbox model specifically for e-malaria, with the crucial support of the Ministry of Health. Conclusions: The regulatory sandbox holds the potential for adoption in the Indonesian health system to address the limited legal framework and to facilitate the rapid and safe adoption of disruptive healthtech in support of the malaria elimination program. Through stakeholder involvement, guidelines for implementing the regulatory sandbox were developed and innovators were successfully invited to participate in the first-ever trial of a health regulatory sandbox for e-malaria in Indonesia. Future studies should provide further insights into the challenges encountered during the e-malaria regulatory sandbox pilot study, offering a detailed account of the implementation process. ",
doi="10.2196/47706",
url="https://www.jmir.org/2023/1/e47706",
url="http://www.ncbi.nlm.nih.gov/pubmed/38051555"
}


@Article{info:doi/10.2196/49237,
author="Zhou, Siyu
and Gromala, Diane
and Wang, Leyu",
title="Ethical Challenges of Virtual Reality Technology Interventions for the Vulnerabilities of Patients With Chronic Pain: Exploration of Technician Responsibility",
journal="J Med Internet Res",
year="2023",
month="Dec",
day="4",
volume="25",
pages="e49237",
keywords="patients with chronic pain",
keywords="vulnerability",
keywords="virtual reality interventions",
keywords="ethics",
keywords="responsibility",
keywords="technical developers",
doi="10.2196/49237",
url="https://www.jmir.org/2023/1/e49237",
url="http://www.ncbi.nlm.nih.gov/pubmed/38048153"
}


@Article{info:doi/10.2196/47551,
author="Li, Jingquan",
title="Security Implications of AI Chatbots in Health Care",
journal="J Med Internet Res",
year="2023",
month="Nov",
day="28",
volume="25",
pages="e47551",
keywords="security",
keywords="privacy",
keywords="chatbot",
keywords="AI",
keywords="artificial intelligence",
keywords="health information",
keywords="HIPAA",
keywords="ChatGPT",
keywords="computer program",
keywords="natural language processing",
keywords="tool",
keywords="improvement",
keywords="patient care",
keywords="care",
keywords="data security",
keywords="guidelines",
keywords="risk",
keywords="policy",
doi="10.2196/47551",
url="https://www.jmir.org/2023/1/e47551",
url="http://www.ncbi.nlm.nih.gov/pubmed/38015597"
}


@Article{info:doi/10.2196/43658,
author="Iorga, Andrea
and Velezis, J. Marti
and Marinac-Dabic, Danica
and Lario, F. Robert
and Huff, M. Stanley
and Gore, Beth
and Mermel, A. Leonard
and Bailey, Charles L.
and Skapik, Julia
and Willis, Debi
and Lee, E. Robert
and Hurst, P. Frank
and Gressler, E. Laura
and Reed, L. Terrie
and Towbin, Richard
and Baskin, M. Kevin",
title="Venous Access: National Guideline and Registry Development (VANGUARD): Advancing Patient-Centered Venous Access Care Through the Development of a National Coordinated Registry Network",
journal="J Med Internet Res",
year="2023",
month="Nov",
day="24",
volume="25",
pages="e43658",
keywords="central venous access devices",
keywords="registry",
keywords="patient-reported outcomes",
keywords="catheter",
keywords="CRBSI",
keywords="CLABSI",
keywords="development",
keywords="patient",
keywords="therapy",
keywords="life-threatening",
keywords="clinical",
keywords="reliable",
keywords="policy",
keywords="system",
keywords="medical device",
doi="10.2196/43658",
url="https://www.jmir.org/2023/1/e43658",
url="http://www.ncbi.nlm.nih.gov/pubmed/37999957"
}


@Article{info:doi/10.2196/45821,
author="Persky, Susan
and Colloca, Luana",
title="Medical Extended Reality Trials: Building Robust Comparators, Controls, and Sham",
journal="J Med Internet Res",
year="2023",
month="Nov",
day="22",
volume="25",
pages="e45821",
keywords="augmented reality",
keywords="clinical trial design",
keywords="control conditions",
keywords="medical extended reality",
keywords="sham VR",
keywords="virtual reality",
doi="10.2196/45821",
url="https://www.jmir.org/2023/1/e45821",
url="http://www.ncbi.nlm.nih.gov/pubmed/37991836"
}


@Article{info:doi/10.2196/52444,
author="Dobson, Rosie
and Stowell, Melanie
and Warren, Jim
and Tane, Taria
and Ni, Lin
and Gu, Yulong
and McCool, Judith
and Whittaker, Robyn",
title="Use of Consumer Wearables in Health Research: Issues and Considerations",
journal="J Med Internet Res",
year="2023",
month="Nov",
day="21",
volume="25",
pages="e52444",
keywords="wearable device",
keywords="wearable",
keywords="wearables",
keywords="inclusion",
keywords="inclusive",
keywords="inclusivity",
keywords="data quality",
keywords="consumer wearables",
keywords="sensors",
keywords="digital health",
keywords="mental health",
keywords="ethics",
keywords="ethic",
keywords="ethical",
keywords="privacy",
keywords="security",
keywords="viewpoint",
keywords="digital divide",
keywords="data privacy",
keywords="health information management",
keywords="data science",
keywords="data collection",
doi="10.2196/52444",
url="https://www.jmir.org/2023/1/e52444",
url="http://www.ncbi.nlm.nih.gov/pubmed/37988147"
}


@Article{info:doi/10.2196/44795,
author="Pan, Xiaogao
and Hounye, Houssou Alphonse
and Zhao, Yuqi
and Cao, Cong
and Wang, Jiaoju
and Abidi, Venunye Mimi
and Hou, Muzhou
and Xiong, Li
and Chai, Xiangping",
title="A Digital Mask-Voiceprint System for Postpandemic Surveillance and Tracing Based on the STRONG Strategy",
journal="J Med Internet Res",
year="2023",
month="Nov",
day="6",
volume="25",
pages="e44795",
keywords="COVID-19",
keywords="surveillance",
keywords="digital tracing",
keywords="mask management",
keywords="voiceprint",
keywords="Spatiotemporal Reporting Over Network and GPS",
keywords="STRONG",
keywords="STRONG strategy",
keywords="living with the virus",
keywords="dynamic clearance",
keywords="digital surveillance",
keywords="pandemic",
keywords="vaccine",
keywords="public health",
keywords="mental",
keywords="social",
keywords="communication technology",
keywords="communication",
keywords="tracing",
doi="10.2196/44795",
url="https://www.jmir.org/2023/1/e44795",
url="http://www.ncbi.nlm.nih.gov/pubmed/37856760"
}


@Article{info:doi/10.2196/52865,
author="Mesk{\'o}, Bertalan",
title="The Impact of Multimodal Large Language Models on Health Care's Future",
journal="J Med Internet Res",
year="2023",
month="Nov",
day="2",
volume="25",
pages="e52865",
keywords="artificial intelligence",
keywords="ChatGPT",
keywords="digital health",
keywords="future",
keywords="GPT-4",
keywords="Generative Pre-Trained Transformer",
keywords="large language models",
keywords="multimodality",
keywords="technology",
keywords="AI",
keywords="LLM",
doi="10.2196/52865",
url="https://www.jmir.org/2023/1/e52865",
url="http://www.ncbi.nlm.nih.gov/pubmed/37917126"
}


@Article{info:doi/10.2196/46897,
author="Seth, Rajeev
and Dhaliwal, K. Baldeep
and Miller, Emily
and Best, Tyler
and Sullivan, Alexis
and Thankachen, Betty
and Qaiyum, Yawar
and Shet, Anita",
title="Leveling the Research Playing Field: Decolonizing Global Health Research Through Web-Based Platforms",
journal="J Med Internet Res",
year="2023",
month="Oct",
day="31",
volume="25",
pages="e46897",
keywords="decolonization",
keywords="vaccination",
keywords="community",
keywords="community engagement",
keywords="health equity",
keywords="health research",
keywords="online",
keywords="online platform",
keywords="web-based platform",
keywords="systemic barrier",
keywords="diversity",
keywords="marginalized",
keywords="promote",
keywords="equity",
keywords="research",
doi="10.2196/46897",
url="https://www.jmir.org/2023/1/e46897",
url="http://www.ncbi.nlm.nih.gov/pubmed/37906225"
}


@Article{info:doi/10.2196/46639,
author="Bahattab, Awsan
and Caviglia, Marta
and Martini, Daniela
and Hubloue, Ives
and Della Corte, Francesco
and Ragazzoni, Luca",
title="Scenario-Based e-Simulation Design for Global Health Education: Theoretical Foundation and Practical Recommendations",
journal="J Med Internet Res",
year="2023",
month="Oct",
day="30",
volume="25",
pages="e46639",
keywords="global health",
keywords="education",
keywords="medical",
keywords="computer simulation",
keywords="scenario-based learning",
keywords="scenario-based e-simulation",
keywords="simulation",
keywords="design",
keywords="training",
keywords="development",
keywords="medical educator",
doi="10.2196/46639",
url="https://www.jmir.org/2023/1/e46639",
url="http://www.ncbi.nlm.nih.gov/pubmed/37902810"
}


@Article{info:doi/10.2196/44171,
author="Zhu, Hongjian
and Wong, Kee Weng",
title="An Overview of Adaptive Designs and Some of Their Challenges, Benefits, and Innovative Applications",
journal="J Med Internet Res",
year="2023",
month="Oct",
day="16",
volume="25",
pages="e44171",
keywords="doubly adaptive biased coin designs",
keywords="model-based optimal designs",
keywords="particle swarm optimization",
keywords="repair mechanism",
doi="10.2196/44171",
url="https://www.jmir.org/2023/1/e44171",
url="http://www.ncbi.nlm.nih.gov/pubmed/37843888"
}


@Article{info:doi/10.2196/47705,
author="Oudat, Qutaibah
and Bakas, Tamilyn",
title="Merits and Pitfalls of Social Media as a Platform for Recruitment of Study Participants",
journal="J Med Internet Res",
year="2023",
month="Oct",
day="11",
volume="25",
pages="e47705",
keywords="recruitment",
keywords="social media",
keywords="review",
keywords="study participant",
keywords="methods",
doi="10.2196/47705",
url="https://www.jmir.org/2023/1/e47705",
url="http://www.ncbi.nlm.nih.gov/pubmed/37819692"
}


@Article{info:doi/10.2196/42960,
author="Rambaud, Kimberly
and van Woerden, Simon
and Palumbo, Leonardo
and Salvi, Cristiana
and Smallwood, Catherine
and Rockenschaub, Gerald
and Okoliyski, Michail
and Marinova, Lora
and Fomaidi, Galina
and Djalalova, Malika
and Faruqui, Nabiha
and Melo Bianco, Viviane
and Mosquera, Mario
and Spasov, Ivaylo
and Totskaya, Yekaterina",
title="Building a Chatbot in a Pandemic",
journal="J Med Internet Res",
year="2023",
month="Oct",
day="10",
volume="25",
pages="e42960",
keywords="COVID-19",
keywords="chatbots",
keywords="evidence-based communication channels",
keywords="conversational agent",
keywords="user-centered",
keywords="health promotion",
keywords="digital health intervention",
keywords="online health information",
keywords="digital health tool",
keywords="health communication",
doi="10.2196/42960",
url="https://www.jmir.org/2023/1/e42960",
url="http://www.ncbi.nlm.nih.gov/pubmed/37074958"
}


@Article{info:doi/10.2196/44502,
author="Oudin, Antoine
and Maatoug, Redwan
and Bourla, Alexis
and Ferreri, Florian
and Bonnot, Olivier
and Millet, Bruno
and Schoeller, F{\'e}lix
and Mouchabac, St{\'e}phane
and Adrien, Vladimir",
title="Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health",
journal="J Med Internet Res",
year="2023",
month="Oct",
day="4",
volume="25",
pages="e44502",
keywords="digital phenotype",
keywords="empowerment",
keywords="mental health",
keywords="personalized medicine",
keywords="psychiatry",
doi="10.2196/44502",
url="https://www.jmir.org/2023/1/e44502",
url="http://www.ncbi.nlm.nih.gov/pubmed/37792430"
}


@Article{info:doi/10.2196/45409,
author="Eustis, H. Elizabeth
and LoPresti, Jessica
and Aguilera, Adrian
and Schueller, M. Stephen",
title="Cultural Responsivity in Technology-Enabled Services: Integrating Culture Into Technology and Service Components",
journal="J Med Internet Res",
year="2023",
month="Oct",
day="3",
volume="25",
pages="e45409",
keywords="technology",
keywords="mobile health",
keywords="mHealth",
keywords="mental health",
keywords="cultural responsivity",
keywords="human support",
keywords="mobile phone",
doi="10.2196/45409",
url="https://www.jmir.org/2023/1/e45409",
url="http://www.ncbi.nlm.nih.gov/pubmed/37788050"
}


@Article{info:doi/10.2196/44886,
author="Karampatakis, Dimitrios Georgios
and Wood, E. Helen
and Griffiths, J. Chris
and Lea, C. Nathan
and Ashcroft, E. Richard
and Day, Bill
and Walker, Neil
and Coulson, S. Neil
and De Simoni, Anna",
title="Ethical and Information Governance Considerations for Promoting Digital Social Interventions in Primary Care",
journal="J Med Internet Res",
year="2023",
month="Sep",
day="27",
volume="25",
pages="e44886",
keywords="data governance",
keywords="digital health",
keywords="digital intervention",
keywords="digital social interventions",
keywords="ethics",
keywords="information governance",
keywords="online health communities",
keywords="peer support",
keywords="primary care",
keywords="social intervention",
doi="10.2196/44886",
url="https://www.jmir.org/2023/1/e44886",
url="http://www.ncbi.nlm.nih.gov/pubmed/37756051"
}


@Article{info:doi/10.2196/47486,
author="Khanna, Amit
and Jones, Graham",
title="Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies",
journal="JMIR Form Res",
year="2023",
month="Sep",
day="27",
volume="7",
pages="e47486",
keywords="digital health",
keywords="monitoring",
keywords="personalized medicine",
keywords="Parkinson disease",
keywords="wearables",
keywords="neurodegenerative disorder",
keywords="cognitive impairment",
keywords="economic burden",
keywords="digital technology",
keywords="symptom management",
keywords="disease control",
keywords="debilitating disease",
keywords="intervention",
doi="10.2196/47486",
url="https://formative.jmir.org/2023/1/e47486",
url="http://www.ncbi.nlm.nih.gov/pubmed/37756050"
}


@Article{info:doi/10.2196/49963,
author="Miao, Hongyu
and Li, Chengdong
and Wang, Jing",
title="A Future of Smarter Digital Health Empowered by Generative Pretrained Transformer",
journal="J Med Internet Res",
year="2023",
month="Sep",
day="26",
volume="25",
pages="e49963",
keywords="generative pretrained model",
keywords="artificial intelligence",
keywords="digital health",
keywords="generative pretrained transformer",
keywords="ChatGPT",
keywords="precision medicine",
keywords="AI",
keywords="privacy",
keywords="ethics",
doi="10.2196/49963",
url="https://www.jmir.org/2023/1/e49963",
url="http://www.ncbi.nlm.nih.gov/pubmed/37751243"
}


@Article{info:doi/10.2196/42405,
author="Shaikh, Yahya
and Gibbons, Christopher Michael",
title="Pathophysiologic Basis of Connected Health Systems",
journal="J Med Internet Res",
year="2023",
month="Sep",
day="21",
volume="25",
pages="e42405",
keywords="smart health",
keywords="connected health",
keywords="systematic methodology",
keywords="pathophysiology",
keywords="architecting connected health systems",
keywords="design",
keywords="community",
keywords="clinic",
keywords="environment",
keywords="system",
keywords="technology",
keywords="digital therapeutic",
keywords="therapeutic systems",
doi="10.2196/42405",
url="https://www.jmir.org/2023/1/e42405",
url="http://www.ncbi.nlm.nih.gov/pubmed/37733435"
}


@Article{info:doi/10.2196/44310,
author="Guo, Manping
and Wang, Yiming
and Yang, Qiaoning
and Li, Rui
and Zhao, Yang
and Li, Chenfei
and Zhu, Mingbo
and Cui, Yao
and Jiang, Xin
and Sheng, Song
and Li, Qingna
and Gao, Rui",
title="Normal Workflow and Key Strategies for Data Cleaning Toward Real-World Data: Viewpoint",
journal="Interact J Med Res",
year="2023",
month="Sep",
day="21",
volume="12",
pages="e44310",
keywords="data cleaning",
keywords="data quality",
keywords="key technologies",
keywords="real-world data",
keywords="viewpoint",
doi="10.2196/44310",
url="https://www.i-jmr.org/2023/1/e44310",
url="http://www.ncbi.nlm.nih.gov/pubmed/37733421"
}


@Article{info:doi/10.2196/50991,
author="Choi, Soyoung",
title="Personal Health Tracking: A Paradigm Shift in the Self-Care Models in Nursing",
journal="JMIR Nursing",
year="2023",
month="Sep",
day="20",
volume="6",
pages="e50991",
keywords="personal health data",
keywords="personal informatics",
keywords="self-care",
keywords="self-tracking",
keywords="mobile health technology",
keywords="human-technology",
keywords="human-computer",
keywords="human computer interaction",
keywords="health tracking",
keywords="framework",
keywords="frameworks",
keywords="model",
keywords="models",
keywords="mHealth",
keywords="mobile health",
keywords="informatics",
doi="10.2196/50991",
url="https://nursing.jmir.org/2023/1/e50991",
url="http://www.ncbi.nlm.nih.gov/pubmed/37728970"
}


@Article{info:doi/10.2196/47884,
author="Herington, Jonathan
and Connelly, Kay
and Illes, Judy",
title="Ethical Imperatives for Working With Diverse Populations in Digital Research",
journal="J Med Internet Res",
year="2023",
month="Sep",
day="18",
volume="25",
pages="e47884",
keywords="digital health research",
keywords="justice",
keywords="research ethics",
keywords="diversity",
keywords="engagement",
keywords="research participants",
keywords="participatory",
doi="10.2196/47884",
url="https://www.jmir.org/2023/1/e47884",
url="http://www.ncbi.nlm.nih.gov/pubmed/37721792"
}


@Article{info:doi/10.2196/49989,
author="Reddy, Sandeep",
title="Navigating the AI Revolution: The Case for Precise Regulation in Health Care",
journal="J Med Internet Res",
year="2023",
month="Sep",
day="11",
volume="25",
pages="e49989",
keywords="artificial intelligence",
keywords="AI",
keywords="health care",
keywords="regulation",
keywords="precise regulation",
keywords="patient safety",
keywords="AI ethics",
doi="10.2196/49989",
url="https://www.jmir.org/2023/1/e49989",
url="http://www.ncbi.nlm.nih.gov/pubmed/37695650"
}


@Article{info:doi/10.2196/44114,
author="Suleski, Tance
and Ahmed, Mohiuddin",
title="A Data Taxonomy for Adaptive Multifactor Authentication in the Internet of Health Care Things",
journal="J Med Internet Res",
year="2023",
month="Aug",
day="29",
volume="25",
pages="e44114",
keywords="health care",
keywords="authentication",
keywords="contextual data model",
keywords="Internet of Health Care Things",
keywords="multifactor",
keywords="mobile phone",
doi="10.2196/44114",
url="https://www.jmir.org/2023/1/e44114",
url="http://www.ncbi.nlm.nih.gov/pubmed/37490633"
}


@Article{info:doi/10.2196/47540,
author="Tajabadi, Mohammad
and Grabenhenrich, Linus
and Ribeiro, Ad{\`e}le
and Leyer, Michael
and Heider, Dominik",
title="Sharing Data With Shared Benefits: Artificial Intelligence Perspective",
journal="J Med Internet Res",
year="2023",
month="Aug",
day="29",
volume="25",
pages="e47540",
keywords="federated learning",
keywords="machine learning",
keywords="medical data",
keywords="fairness",
keywords="data sharing",
keywords="artificial intelligence",
keywords="development",
keywords="artificial intelligence model",
keywords="applications",
keywords="data analysis",
keywords="diagnostic tool",
keywords="tool",
doi="10.2196/47540",
url="https://www.jmir.org/2023/1/e47540",
url="http://www.ncbi.nlm.nih.gov/pubmed/37642995"
}


@Article{info:doi/10.2196/48824,
author="van Kessel, Robin
and Haig, Madeleine
and Mossialos, Elias",
title="Strengthening Cybersecurity for Patient Data Protection in Europe",
journal="J Med Internet Res",
year="2023",
month="Aug",
day="24",
volume="25",
pages="e48824",
keywords="cybersecurity",
keywords="Europe",
keywords="European Health Data Space",
keywords="digital health",
keywords="mHealth",
keywords="medical informatics",
keywords="data privacy",
keywords="patient safety",
keywords="privacy",
keywords="health service",
doi="10.2196/48824",
url="https://www.jmir.org/2023/1/e48824",
url="http://www.ncbi.nlm.nih.gov/pubmed/37616048"
}


@Article{info:doi/10.2196/44578,
author="Liang, Huan-Wei
and Chu, Yuan-Chia
and Han, Tsung-Hsien",
title="Fortifying Health Care Intellectual Property Transactions With Blockchain",
journal="J Med Internet Res",
year="2023",
month="Aug",
day="18",
volume="25",
pages="e44578",
keywords="intellectual property",
keywords="open innovation",
keywords="blockchain",
keywords="appropriability regime",
keywords="health care",
keywords="mobile phone",
abstract="Background: Intellectual property (IP) is a substantial competitive advantage in the health care industry. However, the COVID-19 pandemic highlighted the need for open innovation and collaboration for the greater good. Despite this, the industry faces challenges with innovation owing to organizational and departmental barriers. A secure platform is necessary to facilitate IP sharing without compromising the rights of IP owners. Objective: This study proposes a blockchain-based framework to secure IP transactions in health care and bring social impact. Methods: This study reviews existing researches, publications, practical cases, firm and organization websites, and conferences related to blockchain technology, blockchain in health care, blockchain in IP management, IP pledge research, and practice of IP management blockchain. The platform architecture has 7 components: pledgers, advanced research technology (ART), IP pledge platforms, IP databases, health care research, seeking ART, and transaction condition setting. These components work together seamlessly to support the sharing and pledging of ART and knowledge, while ensuring the platform's transparency, security, and trust. Results: The open IP pledge framework can promote technology dissemination and use, reduce research and development costs, foster collaboration, and serve the public interest. Medical organizations' leadership and support and active participation from stakeholders are necessary for success. By leveraging blockchain technology, the platform ensures tamper-proof and transparent transactions and protects the rights of IP owners. In addition, the platform offers incentive mechanisms through pledge tokens that encourage stakeholders to share their ART and contribute to the platform. Conclusions: Overall, the proposed framework can facilitate technological innovation, tackle various challenges, and secure IP transactions. It provides a secure platform for stakeholders to share their IP without compromising their rights, promoting collaboration and progress in the health care industry. The implementation of the framework has the potential to revolutionize the industry's approach to innovation, allowing a more open and collaborative environment driven by the greater good. ",
doi="10.2196/44578",
url="https://www.jmir.org/2023/1/e44578",
url="http://www.ncbi.nlm.nih.gov/pubmed/37594787"
}


@Article{info:doi/10.2196/48009,
author="Wang, Changyu
and Liu, Siru
and Yang, Hao
and Guo, Jiulin
and Wu, Yuxuan
and Liu, Jialin",
title="Ethical Considerations of Using ChatGPT in Health Care",
journal="J Med Internet Res",
year="2023",
month="Aug",
day="11",
volume="25",
pages="e48009",
keywords="ethics",
keywords="ChatGPT",
keywords="artificial intelligence",
keywords="AI",
keywords="large language models",
keywords="health care",
keywords="artificial intelligence development",
keywords="development",
keywords="algorithm",
keywords="patient safety",
keywords="patient privacy",
keywords="safety",
keywords="privacy",
doi="10.2196/48009",
url="https://www.jmir.org/2023/1/e48009",
url="http://www.ncbi.nlm.nih.gov/pubmed/37566454"
}


@Article{info:doi/10.2196/48498,
author="Pillai, Malvika
and Griffin, C. Ashley
and Kronk, A. Clair
and McCall, Terika",
title="Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities",
journal="J Med Internet Res",
year="2023",
month="Aug",
day="4",
volume="25",
pages="e48498",
keywords="ChatGPT",
keywords="natural language processing",
keywords="community-based participatory research",
keywords="research design",
keywords="artificial intelligence",
keywords="participatory",
keywords="co-design",
keywords="machine learning",
keywords="co-creation",
keywords="community based",
keywords="lived experience",
keywords="lived experiences",
keywords="collaboration",
keywords="collaborative",
doi="10.2196/48498",
url="https://www.jmir.org/2023/1/e48498",
url="http://www.ncbi.nlm.nih.gov/pubmed/37540551"
}


@Article{info:doi/10.2196/46873,
author="Pham, Quynh
and Wong, David
and Pfisterer, J. Kaylen
and Aleman, Dionne
and Bansback, Nick
and Cafazzo, A. Joseph
and Casson, J. Alexander
and Chan, Brian
and Dixon, William
and Kakaroumpas, Gerasimos
and Lindner, Claudia
and Peek, Niels
and Potts, WW Henry
and Ribeiro, Barbara
and Seto, Emily
and Stockton-Powdrell, Charlotte
and Thompson, Alexander
and van der Veer, Sabine",
title="The Complexity of Transferring Remote Monitoring and Virtual Care Technology Between Countries: Lessons From an International Workshop",
journal="J Med Internet Res",
year="2023",
month="Aug",
day="1",
volume="25",
pages="e46873",
keywords="digital health innovation",
keywords="digital health intervention",
keywords="digital health landscape",
keywords="digital health solution",
keywords="health care system",
keywords="regulatory pathway",
keywords="remote monitoring",
keywords="technology transfer",
keywords="virtual care",
doi="10.2196/46873",
url="https://www.jmir.org/2023/1/e46873",
url="http://www.ncbi.nlm.nih.gov/pubmed/37526964"
}


@Article{info:doi/10.2196/35857,
author="Bettencourt, Nicholas
and Wilson, John Conor
and Johnson, Jaye Philippa
and D'Souza, Fabian",
title="A Rebalancing of Financial Valuations and Expectations Moving Forward in the Telehealth Sector as the United States Moves Toward a Post-COVID-19 Reality",
journal="J Med Internet Res",
year="2023",
month="Jul",
day="31",
volume="25",
pages="e35857",
keywords="telehealth",
keywords="telemedicine",
keywords="remote consultation",
keywords="eHealth",
keywords="internet",
keywords="mHealth",
keywords="mobile health",
keywords="digital health",
keywords="delivery of health care",
keywords="telecommunication",
keywords="web-based care",
keywords="web-based medicine",
keywords="customer",
keywords="economy",
keywords="economics",
doi="10.2196/35857",
url="https://www.jmir.org/2023/1/e35857",
url="http://www.ncbi.nlm.nih.gov/pubmed/37523216"
}


@Article{info:doi/10.2196/43068,
author="Fournier-Tombs, Eleonore
and McHardy, Juliette",
title="A Medical Ethics Framework for Conversational Artificial Intelligence",
journal="J Med Internet Res",
year="2023",
month="Jul",
day="26",
volume="25",
pages="e43068",
keywords="chatbot",
keywords="medicine",
keywords="ethics",
keywords="AI ethics",
keywords="AI policy",
keywords="conversational agent",
keywords="COVID-19",
keywords="risk",
keywords="medical ethics",
keywords="privacy",
keywords="data governance",
keywords="artificial intelligence",
doi="10.2196/43068",
url="https://www.jmir.org/2023/1/e43068",
url="http://www.ncbi.nlm.nih.gov/pubmed/37224277"
}


@Article{info:doi/10.2196/39236,
author="H{\o}j, Bordier Stine
and de Montigny, Catherine
and Chougar, Sofiane
and L{\'e}andre, Robert
and Beauchemin-Nadeau, Marie-{\`E}ve
and Boyer-Legault, Genevi{\`e}ve
and Goyette, Am{\'e}lie
and Lamont, Sara-Kim
and Bruneau, Julie",
title="Co-Constructing a Community-Based Telemedicine Program for People With Opioid Use Disorder During the COVID-19 Pandemic: Lessons Learned and Implications for Future Service Delivery",
journal="JMIR Public Health Surveill",
year="2023",
month="Jul",
day="26",
volume="9",
pages="e39236",
keywords="opioid agonist treatment",
keywords="opioid use disorder",
keywords="medications for opioid use disorder",
keywords="harm reduction",
keywords="access to care",
keywords="retention",
keywords="telemedicine",
keywords="telehealth",
keywords="community-based services",
keywords="opioid use",
keywords="remote care",
keywords="healthcare service",
keywords="health care service",
keywords="COVID-19",
keywords="substance abuse",
keywords="opioid disorder",
doi="10.2196/39236",
url="https://publichealth.jmir.org/2023/1/e39236",
url="http://www.ncbi.nlm.nih.gov/pubmed/37494097"
}


@Article{info:doi/10.2196/46773,
author="Queen, Roz
and Courtney, L. Karen
and Lau, Francis
and Davison, Kelly
and Devor, Aaron
and Antonio, G. Marcy",
title="What's Next for Modernizing Gender, Sex, and Sexual Orientation Terminology in Digital Health Systems? Viewpoint on Research and Implementation Priorities",
journal="J Med Internet Res",
year="2023",
month="Jul",
day="25",
volume="25",
pages="e46773",
keywords="data sharing",
keywords="digital health systems",
keywords="digital health",
keywords="gender, sex, and sexual orientation",
keywords="electronic health records",
keywords="GSSO",
keywords="Health Information Standards",
keywords="LGBT health",
keywords="LGBT",
keywords="policy",
doi="10.2196/46773",
url="https://www.jmir.org/2023/1/e46773",
url="http://www.ncbi.nlm.nih.gov/pubmed/37490327"
}


@Article{info:doi/10.2196/45948,
author="Wolfien, Markus
and Ahmadi, Najia
and Fitzer, Kai
and Grummt, Sophia
and Heine, Kilian-Ludwig
and Jung, Ian-C
and Krefting, Dagmar
and K{\"u}hn, Andreas
and Peng, Yuan
and Reinecke, Ines
and Scheel, Julia
and Schmidt, Tobias
and Schm{\"u}cker, Paul
and Sch{\"u}ttler, Christina
and Waltemath, Dagmar
and Zoch, Michele
and Sedlmayr, Martin",
title="Ten Topics to Get Started in Medical Informatics Research",
journal="J Med Internet Res",
year="2023",
month="Jul",
day="24",
volume="25",
pages="e45948",
keywords="medical informatics",
keywords="health informatics",
keywords="interdisciplinary communication",
keywords="research data",
keywords="clinical data",
keywords="digital health",
doi="10.2196/45948",
url="https://www.jmir.org/2023/1/e45948",
url="http://www.ncbi.nlm.nih.gov/pubmed/37486754"
}


@Article{info:doi/10.2196/49247,
author="Ruza, Ieva",
title="Exploring the Road of Women to Medical Leadership: A European Perspective",
journal="J Med Internet Res",
year="2023",
month="Jul",
day="5",
volume="25",
pages="e49247",
keywords="women",
keywords="leadership",
keywords="gender pay gap",
keywords="childcare",
keywords="mentorship",
keywords="medicine",
keywords="European perspective",
doi="10.2196/49247",
url="https://www.jmir.org/2023/1/e49247",
url="http://www.ncbi.nlm.nih.gov/pubmed/37405827"
}


@Article{info:doi/10.2196/48568,
author="Liu, Jialin
and Wang, Changyu
and Liu, Siru",
title="Utility of ChatGPT in Clinical Practice",
journal="J Med Internet Res",
year="2023",
month="Jun",
day="28",
volume="25",
pages="e48568",
keywords="ChatGPT",
keywords="artificial intelligence",
keywords="large language models",
keywords="clinical practice",
keywords="large language model",
keywords="natural language processing",
keywords="NLP",
keywords="doctor-patient",
keywords="patient-physician",
keywords="communication",
keywords="challenges",
keywords="barriers",
keywords="recommendations",
keywords="guidance",
keywords="guidelines",
keywords="best practices",
keywords="risks",
doi="10.2196/48568",
url="https://www.jmir.org/2023/1/e48568",
url="http://www.ncbi.nlm.nih.gov/pubmed/37379067"
}


@Article{info:doi/10.2196/48392,
author="Mesko, Bertalan",
title="The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals",
journal="J Med Internet Res",
year="2023",
month="Jun",
day="22",
volume="25",
pages="e48392",
keywords="artificial intelligence",
keywords="digital health",
keywords="future",
keywords="technology",
keywords="ChatGPT",
keywords="medical practice",
keywords="large language model",
keywords="language model",
keywords="generative",
keywords="conversational agent",
keywords="conversation agents",
keywords="chatbot",
keywords="generated text",
keywords="computer generated",
keywords="medical education",
keywords="continuing education",
keywords="professional development",
keywords="curriculum",
keywords="curricula",
doi="10.2196/48392",
url="https://www.jmir.org/2023/1/e48392",
url="http://www.ncbi.nlm.nih.gov/pubmed/37347508"
}


@Article{info:doi/10.2196/43333,
author="Malerbi, Korn Fernando
and Nakayama, Filipe Luis
and Gayle Dychiao, Robyn
and Zago Ribeiro, Lucas
and Villanueva, Cleva
and Celi, Anthony Leo
and Regatieri, Vinicius Caio",
title="Digital Education for the Deployment of Artificial Intelligence in Health Care",
journal="J Med Internet Res",
year="2023",
month="Jun",
day="22",
volume="25",
pages="e43333",
keywords="artificial intelligence",
keywords="digital health",
keywords="health education",
keywords="machine learning",
keywords="digital education",
keywords="digital",
keywords="education",
keywords="transformation",
keywords="neural",
keywords="network",
keywords="evaluation",
keywords="dataset",
keywords="data",
keywords="set",
keywords="clinical",
doi="10.2196/43333",
url="https://www.jmir.org/2023/1/e43333",
url="http://www.ncbi.nlm.nih.gov/pubmed/37347537"
}


@Article{info:doi/10.2196/45329,
author="Burnette, Colin
and Smithy, William
and Strock, Daniel
and Sivesind, E. Torunn
and Dellavalle, Robert",
title="The Importance of Gender-Neutral Terminology in Risk Evaluation and Mitigation Strategy Programs: A Call to Action",
journal="JMIR Dermatol",
year="2023",
month="Jun",
day="22",
volume="6",
pages="e45329",
keywords="iPLEDGE",
keywords="REMS",
keywords="evaluation and mitigation strategy",
keywords="gender dysmorphia",
keywords="transgender patients",
keywords="call to action",
keywords="oral retinoid",
keywords="medical community",
keywords="gender",
keywords="identity",
keywords="biological sex",
keywords="accessibility",
keywords="barrier",
keywords="gender diversity",
keywords="quality of care",
keywords="treatment",
doi="10.2196/45329",
url="https://derma.jmir.org/2023/1/e45329",
url="http://www.ncbi.nlm.nih.gov/pubmed/37632908"
}


@Article{info:doi/10.2196/46448,
author="van der Schyff, L. Emma
and Ridout, Brad
and Amon, L. Krestina
and Forsyth, Rowena
and Campbell, J. Andrew",
title="Providing Self-Led Mental Health Support Through an Artificial Intelligence--Powered Chat Bot (Leora) to Meet the Demand of Mental Health Care",
journal="J Med Internet Res",
year="2023",
month="Jun",
day="19",
volume="25",
pages="e46448",
keywords="mental health",
keywords="chatbots",
keywords="conversational agents",
keywords="anxiety",
keywords="depression",
keywords="AI",
keywords="support",
keywords="web-based service",
keywords="web-based",
keywords="deployment",
keywords="stigma",
keywords="users",
keywords="symptoms",
keywords="mental health care",
keywords="self-led",
doi="10.2196/46448",
url="https://www.jmir.org/2023/1/e46448",
url="http://www.ncbi.nlm.nih.gov/pubmed/37335608"
}


@Article{info:doi/10.2196/47801,
author="Himstedt, S. Jessica D.
and Bloomgarden, Eve
and Shah, Purvi",
title="Empowering the Invisible: Accelerating Leadership Development for Midcareer Women in Medicine",
journal="J Med Internet Res",
year="2023",
month="Jun",
day="16",
volume="25",
pages="e47801",
keywords="leadership development",
keywords="women in medicine",
keywords="gender parity",
keywords="leadership in medicine",
keywords="women physicians",
keywords="midcareer development",
doi="10.2196/47801",
url="https://www.jmir.org/2023/1/e47801",
url="http://www.ncbi.nlm.nih.gov/pubmed/37327052"
}


@Article{info:doi/10.2196/47629,
author="Meese, A. Katherine
and Boitet, M. Laurence
and Sweeney, L. Katherine
and Nassetta, Lauren
and Mugavero, Michael
and Hidalgo, Bertha
and Reamey, Rebecca
and Rogers, A. David",
title="Still Exhausted: The Role of Residual Caregiving Fatigue on Women in Medicine and Science Across the Pipeline",
journal="J Med Internet Res",
year="2023",
month="Jun",
day="14",
volume="25",
pages="e47629",
keywords="caregiving",
keywords="women in medicine",
keywords="exhaustion",
keywords="childcare",
keywords="burden",
keywords="burnout",
keywords="stress",
keywords="caregiver",
keywords="women",
keywords="professional",
keywords="child",
keywords="eldercare",
keywords="elderly",
keywords="older adults",
keywords="older adult",
keywords="gerontology",
keywords="family care",
keywords="informal care",
keywords="unpaid care",
keywords="survey",
doi="10.2196/47629",
url="https://www.jmir.org/2023/1/e47629",
url="http://www.ncbi.nlm.nih.gov/pubmed/37314842"
}


@Article{info:doi/10.2196/47933,
author="Allan, M. Jessica
and Brooks, K. Amber
and Crusto, Cindy
and Feld, D. Lauren
and Oxentenko, S. Amy
and Spector, D. Nancy
and Verduzco-Gutierrez, Monica
and Silver, K. Julie",
title="Five Strategies Leaders in Academic Medicine Can Implement Now to Enhance Gender Equity",
journal="J Med Internet Res",
year="2023",
month="Jun",
day="13",
volume="25",
pages="e47933",
keywords="gender equity",
keywords="diversity",
keywords="leadership",
keywords="academic medicine",
keywords="gender",
keywords="medicine",
keywords="women in medicine",
keywords="strategies",
keywords="equity",
doi="10.2196/47933",
url="https://www.jmir.org/2023/1/e47933",
url="http://www.ncbi.nlm.nih.gov/pubmed/37310782"
}


@Article{info:doi/10.2196/47641,
author="Allen, Jay-Sheree
and Oxentenko, Amy",
title="Four Lessons Learned From Career Pivots in Academic Medicine",
journal="J Med Internet Res",
year="2023",
month="Jun",
day="13",
volume="25",
pages="e47641",
keywords="women",
keywords="academic medicine",
keywords="career",
keywords="pivot",
keywords="transition",
keywords="women in medicine",
doi="10.2196/47641",
url="https://www.jmir.org/2023/1/e47641",
url="http://www.ncbi.nlm.nih.gov/pubmed/37310784"
}


@Article{info:doi/10.2196/48965,
author="Pendergrast, Tricia",
title="Description of the Novel Networking, Open Discussion, Engagement, and Self-Promotion (NODES) Framework for the Advancement of Women Physicians on Social Media",
journal="J Med Internet Res",
year="2023",
month="Jun",
day="8",
volume="25",
pages="e48965",
keywords="social media",
keywords="gender equity",
keywords="women in medicine",
keywords="woman physician",
keywords="NODES framework",
keywords="self-promotion",
keywords="networking",
keywords="open discussion",
doi="10.2196/48965",
url="https://www.jmir.org/2023/1/e48965",
url="http://www.ncbi.nlm.nih.gov/pubmed/37289490"
}


@Article{info:doi/10.2196/38687,
author="Fridman, Ilona
and Johnson, Skyler
and Elston Lafata, Jennifer",
title="Health Information and Misinformation: A Framework to Guide Research and Practice",
journal="JMIR Med Educ",
year="2023",
month="Jun",
day="7",
volume="9",
pages="e38687",
keywords="misinformation",
keywords="social networks",
keywords="decision-making",
keywords="information validation",
keywords="policy",
keywords="health information",
keywords="web-based",
doi="10.2196/38687",
url="https://mededu.jmir.org/2023/1/e38687",
url="http://www.ncbi.nlm.nih.gov/pubmed/37285192"
}


@Article{info:doi/10.2196/48163,
author="Karabacak, Mert
and Ozkara, Berksu Burak
and Margetis, Konstantinos
and Wintermark, Max
and Bisdas, Sotirios",
title="The Advent of Generative Language Models in Medical Education",
journal="JMIR Med Educ",
year="2023",
month="Jun",
day="6",
volume="9",
pages="e48163",
keywords="generative language model",
keywords="artificial intelligence",
keywords="medical education",
keywords="ChatGPT",
keywords="academic integrity",
keywords="AI-driven feedback",
keywords="stimulation",
keywords="evaluation",
keywords="technology",
keywords="learning environment",
keywords="medical student",
doi="10.2196/48163",
url="https://mededu.jmir.org/2023/1/e48163",
url="http://www.ncbi.nlm.nih.gov/pubmed/37279048"
}


@Article{info:doi/10.2196/48037,
author="Silver, K. Julie
and Gavini, Nara",
title="The Push-Pull Mentoring Model: Ensuring the Success of Mentors and Mentees",
journal="J Med Internet Res",
year="2023",
month="May",
day="25",
volume="25",
pages="e48037",
keywords="mentorship",
keywords="mentor",
keywords="medical education",
keywords="diversity",
keywords="equity",
keywords="Push-Pull Mentoring Model",
doi="10.2196/48037",
url="https://www.jmir.org/2023/1/e48037",
url="http://www.ncbi.nlm.nih.gov/pubmed/37227764"
}


@Article{info:doi/10.2196/47799,
author="Silver, K. Julie",
title="Six Practical Strategies to Mentor and Sponsor Women in Academic Medicine",
journal="J Med Internet Res",
year="2023",
month="May",
day="25",
volume="25",
pages="e47799",
keywords="diversity",
keywords="women",
keywords="women in medicine",
keywords="mentorship",
keywords="sponsorship",
keywords="academic medicine",
doi="10.2196/47799",
url="https://www.jmir.org/2023/1/e47799",
url="http://www.ncbi.nlm.nih.gov/pubmed/37227763"
}


@Article{info:doi/10.2196/47713,
author="Chaney, Cunard Sarah
and Mechael, Patricia",
title="So Many Choices, How Do I Choose? Considerations for Selecting Digital Health Interventions to Support Immunization Confidence and Demand",
journal="J Med Internet Res",
year="2023",
month="May",
day="24",
volume="25",
pages="e47713",
keywords="immunization",
keywords="social listening",
keywords="mobile messaging",
keywords="service delivery",
keywords="low- and middle-income countries",
keywords="LMIC",
keywords="vaccines",
keywords="demand",
keywords="mHealth",
keywords="vaccine confidence",
keywords="public health system",
keywords="vaccination",
keywords="children",
keywords="community health",
keywords="digital health intervention",
keywords="health promotion",
doi="10.2196/47713",
url="https://www.jmir.org/2023/1/e47713",
url="http://www.ncbi.nlm.nih.gov/pubmed/37223980"
}


@Article{info:doi/10.2196/40306,
author="Giovanelli, Alison
and Rowe, Jonathan
and Taylor, Madelynn
and Berna, Mark
and Tebb, P. Kathleen
and Penilla, Carlos
and Pugatch, Marianne
and Lester, James
and Ozer, M. Elizabeth",
title="Supporting Adolescent Engagement with Artificial Intelligence--Driven Digital Health Behavior Change Interventions",
journal="J Med Internet Res",
year="2023",
month="May",
day="24",
volume="25",
pages="e40306",
keywords="digital health behavior change",
keywords="adolescent",
keywords="adolescence",
keywords="behavior change",
keywords="BCT",
keywords="behavioral intervention",
keywords="artificial intelligence",
keywords="machine learning",
keywords="model",
keywords="AI ethics",
keywords="trace log data",
keywords="ethics",
keywords="ethical",
keywords="youth",
keywords="risky behavior",
keywords="engagement",
keywords="privacy",
keywords="security",
keywords="optimization",
keywords="operationalization",
doi="10.2196/40306",
url="https://www.jmir.org/2023/1/e40306",
url="http://www.ncbi.nlm.nih.gov/pubmed/37223987"
}


@Article{info:doi/10.2196/40031,
author="Chenais, Gabrielle
and Lagarde, Emmanuel
and Gil-Jardin{\'e}, C{\'e}dric",
title="Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges",
journal="J Med Internet Res",
year="2023",
month="May",
day="23",
volume="25",
pages="e40031",
keywords="viewpoint",
keywords="ethics",
keywords="artificial intelligence",
keywords="emergency medicine",
keywords="perspectives",
keywords="mobile phone",
doi="10.2196/40031",
url="https://www.jmir.org/2023/1/e40031",
url="http://www.ncbi.nlm.nih.gov/pubmed/36972306"
}


@Article{info:doi/10.2196/47173,
author="Assing Hvidt, Elisabeth
and Atherton, Helen
and Keuper, Jelle
and Kristiansen, Eli
and L{\"u}chau, Christine Elle
and L{\o}nnebakke Norberg, B{\o}rge
and Steinh{\"a}user, Jost
and van den Heuvel, Johannes
and van Tuyl, Lilian",
title="Low Adoption of Video Consultations in Post--COVID-19 General Practice in Northern Europe: Barriers to Use and Potential Action Points",
journal="J Med Internet Res",
year="2023",
month="May",
day="22",
volume="25",
pages="e47173",
keywords="video consultation",
keywords="adoption",
keywords="general practice",
keywords="Northern Europe",
keywords="barriers",
keywords="action potential",
keywords="Europe",
keywords="viewpoint",
keywords="consultation",
keywords="barrier",
keywords="clinician",
keywords="digital care",
keywords="care",
keywords="implementation",
keywords="practitioner",
keywords="COVID-19",
keywords="research",
doi="10.2196/47173",
url="https://www.jmir.org/2023/1/e47173",
url="http://www.ncbi.nlm.nih.gov/pubmed/37213196"
}


@Article{info:doi/10.2196/43374,
author="Xiang, Tao
and Zhang, Yong Pei
and Zhuo, Ying Guang
and Dai, Hang",
title="Contribution of the 5G Smart First-Aid Care Platform to Achieving High-Quality Prehospital Care",
journal="J Med Internet Res",
year="2023",
month="May",
day="22",
volume="25",
pages="e43374",
keywords="fifth generation",
keywords="5G",
keywords="prehospital first-aid care",
keywords="smart medical care",
keywords="telemedicine",
doi="10.2196/43374",
url="https://www.jmir.org/2023/1/e43374",
url="http://www.ncbi.nlm.nih.gov/pubmed/37213169"
}


@Article{info:doi/10.2196/40358,
author="Gustavson, M. Allison
and Lewinski, A. Allison
and Fitzsimmons-Craft, E. Ellen
and Coronado, D. Gloria
and Linke, E. Sarah
and O'Malley, M. Denalee
and Adams, S. Alyce
and Glasgow, E. Russell
and Klesges, M. Lisa",
title="Strategies to Bridge Equitable Implementation of Telehealth",
journal="Interact J Med Res",
year="2023",
month="May",
day="15",
volume="12",
pages="e40358",
keywords="implementation science",
keywords="equity",
keywords="telehealth",
keywords="equitable implementation",
keywords="digital age",
keywords="post pandemic",
doi="10.2196/40358",
url="https://www.i-jmr.org/2023/1/e40358",
url="http://www.ncbi.nlm.nih.gov/pubmed/37184909"
}


@Article{info:doi/10.2196/47773,
author="Dorsey, Chelsea
and Arora, M. Vineet
and Carter, Keme",
title="Fixing Flexner: Disrupting and Rebuilding Academic Medicine for Women of Color to Lead",
journal="J Med Internet Res",
year="2023",
month="May",
day="10",
volume="25",
pages="e47773",
keywords="Flexner Report",
keywords="diversity",
keywords="leadership",
keywords="minority tax",
keywords="Flexner",
keywords="color",
keywords="diverse",
keywords="medical education",
keywords="academia",
keywords="women",
keywords="minority",
keywords="academic",
doi="10.2196/47773",
url="https://www.jmir.org/2023/1/e47773",
url="http://www.ncbi.nlm.nih.gov/pubmed/37163317"
}


@Article{info:doi/10.2196/44030,
author="Deniz-Garcia, Alejandro
and Fabelo, Himar
and Rodriguez-Almeida, J. Antonio
and Zamora-Zamorano, Garlene
and Castro-Fernandez, Maria
and Alberiche Ruano, Pino Maria del
and Solvoll, Terje
and Granja, Concei{\c{c}}{\~a}o
and Schopf, Roger Thomas
and Callico, M. Gustavo
and Soguero-Ruiz, Cristina
and W{\"a}gner, M. Ana
and ",
title="Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges",
journal="J Med Internet Res",
year="2023",
month="May",
day="4",
volume="25",
pages="e44030",
keywords="artificial intelligence",
keywords="chronic disease prevention and management",
keywords="big data",
keywords="mobile health",
keywords="mHealth",
keywords="noncommunicable diseases",
keywords="mobile phone",
doi="10.2196/44030",
url="https://www.jmir.org/2023/1/e44030",
url="http://www.ncbi.nlm.nih.gov/pubmed/37140973"
}


@Article{info:doi/10.2196/42582,
author="Pagoto, L. Sherry
and Palmer, Lindsay
and Horwitz-Willis, Nate",
title="The Next Infodemic: Abortion Misinformation",
journal="J Med Internet Res",
year="2023",
month="May",
day="4",
volume="25",
pages="e42582",
keywords="abortion",
keywords="reproductive health",
keywords="misinformation",
keywords="online",
keywords="infodemic",
keywords="misleading information",
keywords="online health information",
keywords="health authority",
keywords="public health",
keywords="women's health",
doi="10.2196/42582",
url="https://www.jmir.org/2023/1/e42582",
url="http://www.ncbi.nlm.nih.gov/pubmed/37140975"
}


@Article{info:doi/10.2196/43682,
author="Gilbert, Stephen
and Anderson, Stuart
and Daumer, Martin
and Li, Phoebe
and Melvin, Tom
and Williams, Robin",
title="Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies",
journal="J Med Internet Res",
year="2023",
month="Apr",
day="14",
volume="25",
pages="e43682",
keywords="artificial intelligence",
keywords="machine learning",
keywords="regulation",
keywords="algorithm change protocol",
keywords="health care",
keywords="regulatory framework",
keywords="medical tool",
keywords="tool",
keywords="patient",
keywords="intervention",
keywords="safety",
keywords="performance",
keywords="technology",
keywords="implementation",
doi="10.2196/43682",
url="https://www.jmir.org/2023/1/e43682",
url="http://www.ncbi.nlm.nih.gov/pubmed/37058329"
}


@Article{info:doi/10.2196/43484,
author="Velummailum, Ruthiran Russanthy
and McKibbon, Chelsea
and Brenner, R. Darren
and Stringer, Ann Elizabeth
and Ekstrom, Leeland
and Dron, Louis",
title="Data Challenges for Externally Controlled Trials: Viewpoint",
journal="J Med Internet Res",
year="2023",
month="Apr",
day="5",
volume="25",
pages="e43484",
keywords="external control arm",
keywords="synthetic control arm",
keywords="single-arm trial",
keywords="real-world evidence",
keywords="regulatory approval",
keywords="data",
keywords="clinical",
keywords="decision-making",
keywords="efficacy",
keywords="rare conditions",
keywords="trial",
doi="10.2196/43484",
url="https://www.jmir.org/2023/1/e43484",
url="http://www.ncbi.nlm.nih.gov/pubmed/37018021"
}


@Article{info:doi/10.2196/43386,
author="Khan, Ullah Waqas
and Seto, Emily",
title="A ``Do No Harm'' Novel Safety Checklist and Research Approach to Determine Whether to Launch an Artificial Intelligence--Based Medical Technology: Introducing the Biological-Psychological, Economic, and Social (BPES) Framework",
journal="J Med Internet Res",
year="2023",
month="Apr",
day="5",
volume="25",
pages="e43386",
keywords="artificial intelligence",
keywords="AI",
keywords="safety checklist",
keywords="Do No Harm",
keywords="biological-psychological factors",
keywords="economic factors",
keywords="social factors",
keywords="AI medical hardware devices",
keywords="AI medical mobile apps",
keywords="AI medical software programs",
doi="10.2196/43386",
url="https://www.jmir.org/2023/1/e43386",
url="http://www.ncbi.nlm.nih.gov/pubmed/37018019"
}


@Article{info:doi/10.2196/44086,
author="Jackson, Malia Alexandra
and Woo, Juhee
and Olson, Marley
and Dalisay, Francis
and Pokhrel, Pallav
and Muller, J. Clemma
and Okamoto, K. Scott",
title="Methodological Challenges in Web-Based Qualitative Research With Medically Underserved Populations",
journal="J Med Internet Res",
year="2023",
month="Mar",
day="30",
volume="25",
pages="e44086",
keywords="data collection",
keywords="internet",
keywords="mischievous responders",
keywords="recruitment",
keywords="qualitative",
keywords="technology",
doi="10.2196/44086",
url="https://www.jmir.org/2023/1/e44086",
url="http://www.ncbi.nlm.nih.gov/pubmed/36995748"
}


@Article{info:doi/10.2196/44660,
author="Blackie, A. Caroline
and Gualtieri, Lisa
and Kasturi, Shanthini",
title="Listening to Patients With Lupus: Why Not Proactively Integrate the Internet as a Resource to Drive Improved Care?",
journal="J Med Internet Res",
year="2023",
month="Mar",
day="29",
volume="25",
pages="e44660",
keywords="lupus",
keywords="patient symptom",
keywords="patient journey",
keywords="chronic disease",
keywords="lived experience",
keywords="patient experience",
keywords="patient need",
keywords="digital health intervention",
keywords="autoimmune disease",
keywords="clinical care",
keywords="digital voice",
keywords="social media",
keywords="patient care",
keywords="online community",
keywords="social listening",
keywords="autoimmune",
keywords="experience",
keywords="perspective",
doi="10.2196/44660",
url="https://www.jmir.org/2023/1/e44660",
url="http://www.ncbi.nlm.nih.gov/pubmed/36989021"
}


@Article{info:doi/10.2196/37667,
author="de Hoogh, M. Iris
and Reinders, J. Machiel
and Doets, L. Esm{\'e}e
and Hoevenaars, M. Femke P.
and Top, L. Jan",
title="Design Issues in Personalized Nutrition Advice Systems",
journal="J Med Internet Res",
year="2023",
month="Mar",
day="29",
volume="25",
pages="e37667",
keywords="personalized nutrition",
keywords="eHealth design",
keywords="health measurements",
keywords="dietary advice",
keywords="behavior change support",
keywords="knowledge rules",
keywords="modeling",
keywords="sense",
keywords="reason",
keywords="act",
doi="10.2196/37667",
url="https://www.jmir.org/2023/1/e37667",
url="http://www.ncbi.nlm.nih.gov/pubmed/36989039"
}


@Article{info:doi/10.2196/43251,
author="Chen, You
and Clayton, Wright Ellen
and Novak, Lovett Laurie
and Anders, Shilo
and Malin, Bradley",
title="Human-Centered Design to Address Biases in Artificial Intelligence",
journal="J Med Internet Res",
year="2023",
month="Mar",
day="24",
volume="25",
pages="e43251",
keywords="artificial intelligence",
keywords="human-centered AI",
keywords="biases",
keywords="AI",
keywords="care",
keywords="biomedical",
keywords="research",
keywords="application",
keywords="human-centered",
keywords="development",
keywords="design",
keywords="patient",
keywords="health",
keywords="benefits",
doi="10.2196/43251",
url="https://www.jmir.org/2023/1/e43251",
url="http://www.ncbi.nlm.nih.gov/pubmed/36961506"
}


@Article{info:doi/10.2196/43110,
author="Adams, C. Lisa
and Busch, Felix
and Truhn, Daniel
and Makowski, R. Marcus
and Aerts, L. Hugo J. W.
and Bressem, K. Keno",
title="What Does DALL-E 2 Know About Radiology?",
journal="J Med Internet Res",
year="2023",
month="Mar",
day="16",
volume="25",
pages="e43110",
keywords="DALL-E",
keywords="creating images from text",
keywords="image creation",
keywords="image generation",
keywords="transformer language model",
keywords="machine learning",
keywords="generative model",
keywords="radiology",
keywords="x-ray",
keywords="artificial intelligence",
keywords="medical imaging",
keywords="text-to-image",
keywords="diagnostic imaging",
doi="10.2196/43110",
url="https://www.jmir.org/2023/1/e43110",
url="http://www.ncbi.nlm.nih.gov/pubmed/36927634"
}


@Article{info:doi/10.2196/42335,
author="Whitehead, David
and Conley, Jared",
title="The Next Frontier of Remote Patient Monitoring: Hospital at Home",
journal="J Med Internet Res",
year="2023",
month="Mar",
day="16",
volume="25",
pages="e42335",
keywords="hospital at home",
keywords="remote patient monitoring",
keywords="RPM",
keywords="digital health",
keywords="remote monitoring",
keywords="remote care",
keywords="vital sign",
keywords="telemetry",
keywords="fall",
keywords="cost",
keywords="care delivery",
keywords="service delivery",
doi="10.2196/42335",
url="https://www.jmir.org/2023/1/e42335",
url="http://www.ncbi.nlm.nih.gov/pubmed/36928088"
}


@Article{info:doi/10.2196/39546,
author="De Boer, Christopher
and Ghomrawi, Hassan
and Zeineddin, Suhail
and Linton, Samuel
and Kwon, Soyang
and Abdullah, Fizan",
title="A Call to Expand the Scope of Digital Phenotyping",
journal="J Med Internet Res",
year="2023",
month="Mar",
day="14",
volume="25",
pages="e39546",
keywords="digital phenotyping",
keywords="wearables",
keywords="digital health",
keywords="data collection",
keywords="real-time",
keywords="data",
keywords="digital devices",
keywords="smartphones",
keywords="phenotype",
keywords="quantification",
keywords="phenotyping",
keywords="wearable devices",
keywords="tracking",
keywords="monitoring",
keywords="clinical data",
keywords="applcaition",
keywords="implementation",
doi="10.2196/39546",
url="https://www.jmir.org/2023/1/e39546",
url="http://www.ncbi.nlm.nih.gov/pubmed/36917148"
}


@Article{info:doi/10.2196/40285,
author="Bonn, E. Stephanie
and Alexandrou, Christina
and Trolle Lagerros, Ylva",
title="A Digital Platform and Smartphone App to Increase Physical Activity in Patients With Type 2 Diabetes: Overview Of a Technical Solution",
journal="JMIR Form Res",
year="2023",
month="Mar",
day="14",
volume="7",
pages="e40285",
keywords="methods",
keywords="mHealth",
keywords="mobile app",
keywords="self-management",
keywords="smartphone",
keywords="digital",
keywords="platform",
keywords="physical activity",
keywords="diabetes",
keywords="technical",
keywords="engagement",
keywords="self-care",
keywords="development",
keywords="app",
keywords="walking",
keywords="effective",
abstract="International Registered Report Identifier (IRRID): RR2-10.1186/s12889-018-5026-4 ",
doi="10.2196/40285",
url="https://formative.jmir.org/2023/1/e40285",
url="http://www.ncbi.nlm.nih.gov/pubmed/36917156"
}


@Article{info:doi/10.2196/40554,
author="Coelho, Fl{\'a}vio
and C{\^a}mara, Portela Daniel Cardoso
and Ara{\'u}jo, Correa Eduardo
and Bianchi, Monteiro Lucas
and Ogasawara, Ivan
and Dalal, Jyoti
and James, Ananthu
and Abbate, L. Jessica
and Merzouki, Aziza
and dos Reis, Cristina Izabel
and Nwosu, David Kene
and Keiser, Olivia",
title="A Platform for Data-Centric, Continuous Epidemiological Analyses (EpiGraphHub): Descriptive Analysis",
journal="J Med Internet Res",
year="2023",
month="Mar",
day="6",
volume="25",
pages="e40554",
keywords="epidemiology",
keywords="data analysis",
keywords="disease surveillance",
keywords="data science",
keywords="public health",
keywords="durability",
keywords="accessibility",
keywords="data set",
keywords="public",
keywords="platform",
keywords="data",
keywords="application",
keywords="decision",
keywords="decision-making",
abstract="Background: Guaranteeing durability, provenance, accessibility, and trust in open data sets can be challenging for researchers and organizations that rely on public repositories of data critical for epidemiology and other health analytics. The required data repositories are often difficult to locate and may require conversion to a standard data format. Data-hosting websites may also change or become unavailable without warning. A single change to the rules in one repository can hinder updating a public dashboard reliant on data pulled from external sources. These concerns are particularly challenging at the international level, because policies on systems aimed at harmonizing health and related data are typically dictated by national governments to serve their individual needs. Objective: In this paper, we introduce a comprehensive public health data platform, EpiGraphHub, that aims to provide a single interoperable repository for open health and related data. Methods: The platform, curated by the international research community, allows secure local integration of sensitive data while facilitating the development of data-driven applications and reports for decision-makers. Its main components include centrally managed databases with fine-grained access control to data, fully automated and documented data collection and transformation, and a powerful web-based data exploration and visualization tool. Results: EpiGraphHub is already being used for hosting a growing collection of open data sets and for automating epidemiological analyses based on them. The project has also released an open-source software library with the analytical methods used in the platform. Conclusions: The platform is fully open source and open to external users. It is in active development with the goal of maximizing its value for large-scale public health studies. ",
doi="10.2196/40554",
url="https://www.jmir.org/2023/1/e40554",
url="http://www.ncbi.nlm.nih.gov/pubmed/36877539"
}


@Article{info:doi/10.2196/36765,
author="Mallakin, Maryam
and Dery, Christina
and Vaillancourt, Samuel
and Gupta, Sahil
and Sellen, Katherine",
title="Web-Based Co-design in Health Care: Considerations for Renewed Participation",
journal="Interact J Med Res",
year="2023",
month="Mar",
day="3",
volume="12",
pages="e36765",
keywords="web-based design research",
keywords="co-design",
keywords="web-based co-design",
keywords="virtual platform",
keywords="virtual learning platforms",
keywords="internet research ethics",
keywords="collaboration",
keywords="health communication",
keywords="sensemaking",
keywords="health design",
keywords="tangible tools and games",
doi="10.2196/36765",
url="https://www.i-jmr.org/2023/1/e36765",
url="http://www.ncbi.nlm.nih.gov/pubmed/36595738"
}


@Article{info:doi/10.2196/37784,
author="Smith, Nathan
and Peters, Dorian
and Jay, Caroline
and Sandal, M. Gro
and Barrett, C. Emma
and Wuebker, Robert",
title="Off-World Mental Health: Considerations for the Design of Well-being--Supportive Technologies for Deep Space Exploration",
journal="JMIR Form Res",
year="2023",
month="Feb",
day="14",
volume="7",
pages="e37784",
keywords="long duration space exploration",
keywords="astronaut mental health",
keywords="countermeasures",
keywords="digital design",
keywords="human factors",
keywords="technology",
doi="10.2196/37784",
url="https://formative.jmir.org/2023/1/e37784",
url="http://www.ncbi.nlm.nih.gov/pubmed/36787162"
}


@Article{info:doi/10.2196/43549,
author="Koohsari, Javad Mohammad
and McCormack, R. Gavin
and Nakaya, Tomoki
and Yasunaga, Akitomo
and Fuller, Daniel
and Nagai, Yukari
and Oka, Koichiro",
title="The Metaverse, the Built Environment, and Public Health: Opportunities and Uncertainties",
journal="J Med Internet Res",
year="2023",
month="Feb",
day="13",
volume="25",
pages="e43549",
keywords="virtual reality",
keywords="technology",
keywords="neighborhood",
keywords="urban design",
keywords="health",
keywords="epidemiology",
keywords="artificial intelligence",
keywords="sport sciences",
keywords="augmented reality",
keywords="health care",
doi="10.2196/43549",
url="https://www.jmir.org/2023/1/e43549",
url="http://www.ncbi.nlm.nih.gov/pubmed/36780208"
}


@Article{info:doi/10.2196/42449,
author="Dixon, G. William
and van der Veer, N. Sabine
and Ali, Mustafa Syed
and Laidlaw, Lynn
and Dobson, B. Richard J.
and Sudlow, Cathie
and Chico, Tim
and MacArthur, L. Jacqueline A.
and Doherty, Aiden",
title="Charting a Course for Smartphones and Wearables to Transform Population Health Research",
journal="J Med Internet Res",
year="2023",
month="Feb",
day="7",
volume="25",
pages="e42449",
keywords="mHealth",
keywords="wearable",
keywords="person-generated health data",
keywords="population health research",
keywords="devices",
keywords="research",
keywords="health",
keywords="data",
keywords="mobile health",
keywords="clinical",
keywords="digital",
doi="10.2196/42449",
url="https://www.jmir.org/2023/1/e42449",
url="http://www.ncbi.nlm.nih.gov/pubmed/36749628"
}


@Article{info:doi/10.2196/43754,
author="Rashi, Tsuriel
and Yom-Tov, Elad",
title="Ethics of Medical Archival Internet Research Data",
journal="J Med Internet Res",
year="2023",
month="Jan",
day="31",
volume="25",
pages="e43754",
keywords="ethic",
keywords="archival internet research data",
keywords="three laws of robotics",
doi="10.2196/43754",
url="https://www.jmir.org/2023/1/e43754",
url="http://www.ncbi.nlm.nih.gov/pubmed/36719736"
}


@Article{info:doi/10.2196/44820,
author="Kodama, Satoshi",
title="Ethical Challenges of the COVID-19 Pandemic: A Japanese Perspective",
journal="J Med Internet Res",
year="2023",
month="Jan",
day="26",
volume="25",
pages="e44820",
keywords="pandemic",
keywords="Japan",
keywords="lockdown",
keywords="disaster preparedness and management",
keywords="digital technologies",
keywords="intensive care unit",
keywords="COVID-19",
keywords="ICU triage",
keywords="ethics",
keywords="emergency preparedness",
keywords="digital health intervention",
doi="10.2196/44820",
url="https://www.jmir.org/2023/1/e44820",
url="http://www.ncbi.nlm.nih.gov/pubmed/36652597"
}


@Article{info:doi/10.2196/43174,
author="Perakslis, Eric
and Quintana, Yuri",
title="Social Media is Addictive and Influences Behavior: Should it Be Regulated as a Digital Therapeutic?",
journal="J Med Internet Res",
year="2023",
month="Jan",
day="26",
volume="25",
pages="e43174",
keywords="social media",
keywords="mental health",
keywords="suicide",
keywords="health policy",
keywords="addictions",
keywords="youth mental health",
keywords="FDA",
keywords="Food and Drug Administration",
keywords="Canada",
keywords="United Kingdom",
keywords="United States",
keywords="European Union",
keywords="privacy",
keywords="security",
keywords="adverse event",
doi="10.2196/43174",
url="https://www.jmir.org/2023/1/e43174",
url="http://www.ncbi.nlm.nih.gov/pubmed/36701180"
}


@Article{info:doi/10.2196/38310,
author="Cresswell, Kathrin
and Anderson, Stuart
and Mozaffar, Hajar
and Elizondo, Andrey
and Geiger, Marcia
and Williams, Robin",
title="Socio-Organizational Dimensions: The Key to Advancing the Shared Care Record Agenda in Health and Social Care",
journal="J Med Internet Res",
year="2023",
month="Jan",
day="26",
volume="25",
pages="e38310",
keywords="integrated care",
keywords="sociotechnical",
keywords="socio-organizational",
keywords="shared care records",
keywords="health care",
keywords="healthcare",
keywords="social care",
keywords="digital health",
doi="10.2196/38310",
url="https://www.jmir.org/2023/1/e38310",
url="http://www.ncbi.nlm.nih.gov/pubmed/36701190"
}


@Article{info:doi/10.2196/37545,
author="Phiri, Peter
and Cavalini, Heitor
and Shetty, Suchith
and Delanerolle, Gayathri",
title="Digital Maturity Consulting and Strategizing to Optimize Services: Overview",
journal="J Med Internet Res",
year="2023",
month="Jan",
day="17",
volume="25",
pages="e37545",
keywords="digital maturity model",
keywords="health care system",
keywords="electronic medical records",
keywords="health record",
keywords="information",
keywords="UK",
keywords="medical service",
keywords="care provider",
keywords="integration",
keywords="interoperability",
keywords="digital health",
keywords="digital record",
keywords="workflow",
doi="10.2196/37545",
url="https://www.jmir.org/2023/1/e37545",
url="http://www.ncbi.nlm.nih.gov/pubmed/36649060"
}


@Article{info:doi/10.2196/43404,
author="Patel, Smit
and Goldsack, C. Jennifer
and Cordovano, Grace
and Downing, Andrea
and Fields, K. Karen
and Geoghegan, Cindy
and Grewal, Upinder
and Nieva, Jorge
and Patel, Nikunj
and Rollison, E. Dana
and Sah, Archana
and Said, Maya
and Van De Keere, Isabel
and Way, Amanda
and Wolff-Hughes, L. Dana
and Wood, A. William
and Robinson, J. Edmondo",
title="Advancing Digital Health Innovation in Oncology: Priorities for High-Value Digital Transformation in Cancer Care",
journal="J Med Internet Res",
year="2023",
month="Jan",
day="4",
volume="25",
pages="e43404",
keywords="digital health",
keywords="innovation",
keywords="oncology",
keywords="cancer care",
keywords="cancer",
keywords="patient journey",
keywords="digital transformation",
keywords="digital divide",
keywords="health care delivery",
keywords="service delivery",
keywords="equity",
keywords="patient-reported outcome",
keywords="PROM",
keywords="biomarker",
keywords="digital innovation",
doi="10.2196/43404",
url="https://www.jmir.org/2023/1/e43404",
url="http://www.ncbi.nlm.nih.gov/pubmed/36598811"
}


@Article{info:doi/10.2196/37805,
author="Tamang, Suzanne
and Humbert-Droz, Marie
and Gianfrancesco, Milena
and Izadi, Zara
and Schmajuk, Gabriela
and Yazdany, Jinoos",
title="Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement",
journal="JMIR Med Inform",
year="2023",
month="Jan",
day="3",
volume="11",
pages="e37805",
keywords="clinical natural language processing",
keywords="electronic health records",
keywords="population health science",
keywords="clinical decision support",
keywords="information extraction",
doi="10.2196/37805",
url="https://medinform.jmir.org/2023/1/e37805",
url="http://www.ncbi.nlm.nih.gov/pubmed/36595345"
}


@Article{info:doi/10.2196/42179,
author="de Vere Hunt, Isabella
and Linos, Eleni",
title="Social Media for Public Health: Framework for Social Media--Based Public Health Campaigns",
journal="J Med Internet Res",
year="2022",
month="Dec",
day="14",
volume="24",
number="12",
pages="e42179",
keywords="social media",
keywords="digital heath",
keywords="health communication",
keywords="campaign",
keywords="public health",
keywords="framework",
keywords="health promotion",
keywords="public awareness",
keywords="misinformation",
keywords="tailored message",
keywords="tailored messaging",
keywords="information sharing",
keywords="information exchange",
keywords="advertise",
keywords="advertising",
doi="10.2196/42179",
url="https://www.jmir.org/2022/12/e42179",
url="http://www.ncbi.nlm.nih.gov/pubmed/36515995"
}


@Article{info:doi/10.2196/38003,
author="Halkides, Heather
and James, G. Tyler
and McKee, M. Michael
and Meade, A. Michelle
and Moran, Christa
and Park, Sophia",
title="Spotlighting Disability in a Major Electronic Health Record: Michigan Medicine's Disability and Accommodations Tab",
journal="JMIR Form Res",
year="2022",
month="Dec",
day="2",
volume="6",
number="12",
pages="e38003",
keywords="patients with disabilities",
keywords="disability accommodations",
keywords="electronic health records",
keywords="patient-centered care",
keywords="Affordable Care Act",
keywords="Americans with Disabilities Act",
keywords="disability",
keywords="disabilities",
keywords="affordable care",
keywords="EHR",
keywords="accommodation",
keywords="minority",
keywords="equity",
keywords="accessibility",
keywords="accessible",
keywords="inclusive",
keywords="inclusivity",
keywords="health care",
keywords="health service",
keywords="environment",
keywords="accommodate",
keywords="reporting",
keywords="data collection",
keywords="barrier",
doi="10.2196/38003",
url="https://formative.jmir.org/2022/12/e38003",
url="http://www.ncbi.nlm.nih.gov/pubmed/36459406"
}


@Article{info:doi/10.2196/40374,
author="Kamalakannan, Sureshkumar
and Karunakaran, Vijay
and Kaliappan, Balaji Ashwin
and Nagarajan, Ramakumar",
title="Systematic Development of the ReWin Application: A Digital Therapeutic Rehabilitation Innovation for People With Stroke-related Disabilities in India",
journal="JMIR Rehabil Assist Technol",
year="2022",
month="Nov",
day="24",
volume="9",
number="4",
pages="e40374",
keywords="stroke",
keywords="telerehabilitation",
keywords="neurological rehabilitation",
keywords="disability",
keywords="India",
keywords="rehabilitation",
keywords="recovery",
keywords="stroke care",
keywords="patient care",
keywords="digital technology",
keywords="feasibility",
keywords="acceptability",
keywords="digital therapy",
doi="10.2196/40374",
url="https://rehab.jmir.org/2022/4/e40374",
url="http://www.ncbi.nlm.nih.gov/pubmed/36422867"
}


@Article{info:doi/10.2196/40516,
author="Overmars, Malin L.
and Niemantsverdriet, A. Michael S.
and Groenhof, J. T. Katrien
and De Groot, H. Mark C.
and Hulsbergen-Veelken, R. Cornelia A.
and Van Solinge, W. Wouter
and Musson, A. Ruben E.
and Ten Berg, J. Maarten
and Hoefer, E. Imo
and Haitjema, Saskia",
title="A Wolf in Sheep's Clothing: Reuse of Routinely Obtained Laboratory Data in Research",
journal="J Med Internet Res",
year="2022",
month="Nov",
day="18",
volume="24",
number="11",
pages="e40516",
keywords="laboratory data",
keywords="electronic health records",
keywords="preprocessing",
keywords="applied data science",
keywords="laboratory",
keywords="data",
keywords="clinical",
keywords="decision support",
keywords="decision",
keywords="research",
keywords="analysis",
keywords="patient",
keywords="value",
keywords="clinical care",
doi="10.2196/40516",
url="https://www.jmir.org/2022/11/e40516",
url="http://www.ncbi.nlm.nih.gov/pubmed/36399373"
}


@Article{info:doi/10.2196/41463,
author="Blasiak, Agata
and Sapanel, Yoann
and Leitman, Dana
and Ng, Ying Wei
and De Nicola, Raffaele
and Lee, Vien V.
and Todorov, Atanas
and Ho, Dean",
title="Omnichannel Communication to Boost Patient Engagement and Behavioral Change With Digital Health Interventions",
journal="J Med Internet Res",
year="2022",
month="Nov",
day="16",
volume="24",
number="11",
pages="e41463",
keywords="digital health intervention",
keywords="omnichannel engagement",
keywords="behavioral change",
keywords="communication channels",
keywords="personalized engagement",
keywords="health care",
keywords="patient care",
keywords="health care outcome",
keywords="patient engagement",
keywords="digital twin",
keywords="DHI",
keywords="digital health",
keywords="eHealth",
keywords="framework",
keywords="development",
doi="10.2196/41463",
url="https://www.jmir.org/2022/11/e41463",
url="http://www.ncbi.nlm.nih.gov/pubmed/36383427"
}


@Article{info:doi/10.2196/40655,
author="Fischer, Aurelie
and Elbeji, Abir
and Aguayo, Gloria
and Fagherazzi, Guy",
title="Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research",
journal="Interact J Med Res",
year="2022",
month="Nov",
day="15",
volume="11",
number="2",
pages="e40655",
keywords="vocal biomarker",
keywords="COVID-19 symptoms",
keywords="digital health",
keywords="remote monitoring",
keywords="artificial intelligence",
keywords="voice",
keywords="COVID-19",
keywords="Long COVID",
keywords="digital health solution",
keywords="voice-based technology",
keywords="health technology",
keywords="health monitoring",
keywords="digital health monitoring",
keywords="health care application",
keywords="remote patient monitoring",
doi="10.2196/40655",
url="https://www.i-jmr.org/2022/2/e40655",
url="http://www.ncbi.nlm.nih.gov/pubmed/36378504"
}


@Article{info:doi/10.2196/32679,
author="Faruki, A. Adeel
and Zane, D. Richard
and Wiler, L. Jennifer",
title="The Role of Academic Health Systems in Leading the ``Third Wave'' of Digital Health Innovation",
journal="JMIR Med Educ",
year="2022",
month="Nov",
day="9",
volume="8",
number="4",
pages="e32679",
keywords="innovation",
keywords="academic hospitals",
keywords="academic health systems",
keywords="health technology",
keywords="entrepreneur",
keywords="disruption",
keywords="digital health",
keywords="research programs",
keywords="cost",
keywords="investment",
keywords="intrapreneur",
doi="10.2196/32679",
url="https://mededu.jmir.org/2022/4/e32679",
url="http://www.ncbi.nlm.nih.gov/pubmed/36350700"
}


@Article{info:doi/10.2196/41750,
author="Mandel, C. Joshua
and Pollak, P. J.
and Mandl, D. Kenneth",
title="The Patient Role in a Federal National-Scale Health Information Exchange",
journal="J Med Internet Res",
year="2022",
month="Nov",
day="4",
volume="24",
number="11",
pages="e41750",
keywords="health information exchange",
keywords="patient control",
keywords="Health Insurance Portability and Accountability Act",
keywords="HIPAA",
keywords="patient record",
keywords="information exchange",
keywords="information sharing",
keywords="health record",
keywords="privacy",
keywords="security",
keywords="public health",
keywords="health policy",
keywords="health information",
keywords="federal trusted exchange",
keywords="insurance company",
keywords="patient data",
doi="10.2196/41750",
url="https://www.jmir.org/2022/11/e41750",
url="http://www.ncbi.nlm.nih.gov/pubmed/36331535"
}


@Article{info:doi/10.2196/39698,
author="Drummond, David
and Coulet, Adrien",
title="Technical, Ethical, Legal, and Societal Challenges With Digital Twin Systems for the Management of Chronic Diseases in Children and Young People",
journal="J Med Internet Res",
year="2022",
month="Oct",
day="31",
volume="24",
number="10",
pages="e39698",
keywords="artificial intelligence",
keywords="pediatrics",
keywords="medical cyber-physical systems",
keywords="children",
keywords="digital twin",
keywords="child",
keywords="personalized",
keywords="cyber-physical",
keywords="digital health",
keywords="digital medicine",
keywords="eHealth",
keywords="ethics",
keywords="legal",
keywords="law",
keywords="young people",
keywords="youth",
keywords="ethical",
keywords="sensor",
keywords="monitor",
keywords="privacy",
keywords="data collection",
keywords="paediatric",
keywords="pediatrician",
keywords="paediatrician",
keywords="chronic disease",
keywords="medical system",
doi="10.2196/39698",
url="https://www.jmir.org/2022/10/e39698",
url="http://www.ncbi.nlm.nih.gov/pubmed/36315239"
}


@Article{info:doi/10.2196/40410,
author="Benrimoh, David
and Chheda, D. Forum
and Margolese, C. Howard",
title="The Best Predictor of the Future---the Metaverse, Mental Health, and Lessons Learned From Current Technologies",
journal="JMIR Ment Health",
year="2022",
month="Oct",
day="28",
volume="9",
number="10",
pages="e40410",
keywords="metaverse",
keywords="mental health",
keywords="social media",
keywords="virtual reality",
keywords="VR",
keywords="digital experience",
keywords="human interaction",
keywords="mental health risk",
keywords="teleworking",
keywords="assisted therapy",
keywords="teletherapy",
keywords="benefits",
keywords="safety",
keywords="mental health problems",
keywords="data security",
keywords="privacy",
keywords="protection",
keywords="user safety",
keywords="safety regulations",
keywords="mobile phone",
doi="10.2196/40410",
url="https://mental.jmir.org/2022/10/e40410",
url="http://www.ncbi.nlm.nih.gov/pubmed/36306155"
}


@Article{info:doi/10.2196/43383,
author="Hendricks-Sturrup, Rachele
and Nafie, Maryam
and Lu, Christine",
title="Practical Considerations and Recommendations for ``a Revised Hippocratic Oath for the Era of Digital Health''",
journal="J Med Internet Res",
year="2022",
month="Oct",
day="26",
volume="24",
number="10",
pages="e43383",
keywords="digital health",
keywords="Hippocratic Oath",
keywords="eHealth",
keywords="ethics",
keywords="digital divide",
doi="10.2196/43383",
url="https://www.jmir.org/2022/10/e43383",
url="http://www.ncbi.nlm.nih.gov/pubmed/36287597"
}


@Article{info:doi/10.2196/37408,
author="Painter, Annabelle
and Hayhoe, Benedict
and Riboli-Sasco, Eva
and El-Osta, Austen",
title="Online Symptom Checkers: Recommendations for a Vignette-Based Clinical Evaluation Standard",
journal="J Med Internet Res",
year="2022",
month="Oct",
day="26",
volume="24",
number="10",
pages="e37408",
keywords="online symptom checkers",
keywords="clinical evaluation",
keywords="validation",
keywords="assessment",
keywords="standards",
keywords="third-party assessment",
keywords="quality assurance",
doi="10.2196/37408",
url="https://www.jmir.org/2022/10/e37408",
url="http://www.ncbi.nlm.nih.gov/pubmed/36287594"
}


@Article{info:doi/10.2196/41417,
author="Goodday, Sarah
and Karlin, Daniel
and Suver, Christine
and Friend, Stephen",
title="The Post-Roe Political Landscape Demands a Morality of Caution for Women's Health",
journal="J Med Internet Res",
year="2022",
month="Oct",
day="20",
volume="24",
number="10",
pages="e41417",
keywords="women's health",
keywords="reproductive health",
keywords="wearable",
keywords="abortion rights, confidentiality and privacy",
keywords="Roe v. Wade",
keywords="health policy",
keywords="health research",
keywords="reproductive information",
keywords="privacy",
keywords="women's rights",
keywords="health rights",
keywords="abortion",
keywords="eHealth",
keywords="digital health",
keywords="mHealth",
keywords="safety",
keywords="ethic",
doi="10.2196/41417",
url="https://www.jmir.org/2022/10/e41417",
url="http://www.ncbi.nlm.nih.gov/pubmed/36264611"
}


@Article{info:doi/10.2196/39323,
author="Smits, Merlijn
and Ludden, S. Geke D.
and Verbeek, Peter-Paul
and van Goor, Harry",
title="How Digital Therapeutics Are Urging the Need for a Paradigm Shift: From Evidence-Based Health Care to Evidence-Based Well-being",
journal="Interact J Med Res",
year="2022",
month="Oct",
day="20",
volume="11",
number="2",
pages="e39323",
keywords="digital therapeutics",
keywords="digital health",
keywords="paradigm shift",
keywords="paradigm",
keywords="health policy",
keywords="health care",
keywords="evidence",
keywords="evidence-based",
keywords="decision-making",
keywords="challenges",
keywords="implementation",
keywords="well-being",
keywords="digital",
keywords="technology",
doi="10.2196/39323",
url="https://www.i-jmr.org/2022/2/e39323",
url="http://www.ncbi.nlm.nih.gov/pubmed/36264624"
}


@Article{info:doi/10.2196/37236,
author="Moln{\'a}r-G{\'a}bor, Fruzsina
and Beauvais, S. Michael J.
and Bernier, Alexander
and Jimenez, Nicolas Maria Pilar
and Recuero, Mikel
and Knoppers, Maria Bartha",
title="Bridging the European Data Sharing Divide in Genomic Science",
journal="J Med Internet Res",
year="2022",
month="Oct",
day="19",
volume="24",
number="10",
pages="e37236",
keywords="international data transfer",
keywords="scientific research",
keywords="genomics",
keywords="safe data spaces",
keywords="data protection",
doi="10.2196/37236",
url="https://www.jmir.org/2022/10/e37236",
url="http://www.ncbi.nlm.nih.gov/pubmed/36260387"
}


@Article{info:doi/10.2196/37437,
author="Scheenstra, Bart
and Bruninx, Anke
and van Daalen, Florian
and Stahl, Nina
and Latuapon, Elizabeth
and Imkamp, Maike
and Ippel, Lianne
and Duijsings-Mahangi, Sulaika
and Smits, Djura
and Townend, David
and Bermejo, Inigo
and Dekker, Andre
and Hochstenbach, Laura
and Spreeuwenberg, Marieke
and Maessen, Jos
and van 't Hof, Arnoud
and Kietselaer, Bas",
title="Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium",
journal="JMIR Cardio",
year="2022",
month="Oct",
day="17",
volume="6",
number="2",
pages="e37437",
keywords="atherosclerotic cardiovascular disease",
keywords="ASCVD",
keywords="cardiovascular risk management",
keywords="CVRM",
keywords="eHealth",
keywords="digital Health",
keywords="personalized e-coach",
keywords="big data",
keywords="clinical prediction models",
keywords="federated data infrastructure",
doi="10.2196/37437",
url="https://cardio.jmir.org/2022/2/e37437",
url="http://www.ncbi.nlm.nih.gov/pubmed/36251353"
}


@Article{info:doi/10.2196/37341,
author="van Velsen, Lex
and Ludden, Geke
and Gr{\"u}nloh, Christiane",
title="The Limitations of User-and Human-Centered Design in an eHealth Context and How to Move Beyond Them",
journal="J Med Internet Res",
year="2022",
month="Oct",
day="5",
volume="24",
number="10",
pages="e37341",
keywords="user-centered design",
keywords="human-centered design",
keywords="eHealth, value-sensitive design",
keywords="citizen science",
doi="10.2196/37341",
url="https://www.jmir.org/2022/10/e37341",
url="http://www.ncbi.nlm.nih.gov/pubmed/36197718"
}


@Article{info:doi/10.2196/36759,
author="Franchini, Filippo
and Kusejko, Katharina
and Marzolini, Catia
and Tellenbach, Christoph
and Rossi, Simona
and Stampf, Susanne
and Koller, Michael
and Stoyanov, Jivko
and M{\"o}ller, Burkhard
and Leichtle, Benedikt Alexander",
title="Collaborative Challenges of Multi-Cohort Projects in Pharmacogenetics---Why Time Is Essential for Meaningful Collaborations",
journal="JMIR Form Res",
year="2022",
month="Sep",
day="29",
volume="6",
number="9",
pages="e36759",
keywords="personalized medicine",
keywords="guidelines",
keywords="ethical, legal, and social implications",
keywords="study",
keywords="ethics",
keywords="multicentric",
doi="10.2196/36759",
url="https://formative.jmir.org/2022/9/e36759",
url="http://www.ncbi.nlm.nih.gov/pubmed/35976179"
}


@Article{info:doi/10.2196/40547,
author="Smutny, Zdenek
and Vehovar, Vasja",
title="On the Current Connection and Relation Between Health Informatics and Social Informatics",
journal="J Med Internet Res",
year="2022",
month="Sep",
day="28",
volume="24",
number="9",
pages="e40547",
keywords="biomedical informatics",
keywords="conceptual view",
keywords="clinical informatics",
keywords="international perspective",
keywords="medical informatics",
doi="10.2196/40547",
url="https://www.jmir.org/2022/9/e40547",
url="http://www.ncbi.nlm.nih.gov/pubmed/36169995"
}


@Article{info:doi/10.2196/35675,
author="Mulder, Tahar Skander
and Omidvari, Amir-Houshang
and Rueten-Budde, J. Anja
and Huang, Pei-Hua
and Kim, Ki-Hun
and Bais, Babette
and Rousian, Melek
and Hai, Rihan
and Akgun, Can
and van Lennep, Roeters Jeanine
and Willemsen, Sten
and Rijnbeek, R. Peter
and Tax, MJ David
and Reinders, Marcel
and Boersma, Eric
and Rizopoulos, Dimitris
and Visch, Valentijn
and Steegers-Theunissen, R{\'e}gine",
title="Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course",
journal="J Med Internet Res",
year="2022",
month="Sep",
day="14",
volume="24",
number="9",
pages="e35675",
keywords="digital health",
keywords="digital twin",
keywords="machine learning",
keywords="artifical intelligence",
keywords="obstetrics",
keywords="cardiovascular",
keywords="disease",
keywords="health",
doi="10.2196/35675",
url="https://www.jmir.org/2022/9/e35675",
url="http://www.ncbi.nlm.nih.gov/pubmed/36103220"
}


@Article{info:doi/10.2196/39177,
author="Mesk{\'o}, Bertalan
and Spiegel, Brennan",
title="A Revised Hippocratic Oath for the Era of Digital Health",
journal="J Med Internet Res",
year="2022",
month="Sep",
day="7",
volume="24",
number="9",
pages="e39177",
keywords="hippocratic oath",
keywords="digital health",
keywords="eHealth",
keywords="future",
keywords="automation",
keywords="ethics",
keywords="viewpoint",
keywords="medical perspective",
keywords="physician perspective",
keywords="ethical",
keywords="digital divide",
keywords="artificial intelligence",
keywords="moral",
doi="10.2196/39177",
url="https://www.jmir.org/2022/9/e39177",
url="http://www.ncbi.nlm.nih.gov/pubmed/36069845"
}


@Article{info:doi/10.2196/39178,
author="Mesk{\'o}, Bertalan
and deBronkart, Dave",
title="Patient Design: The Importance of Including Patients in Designing Health Care",
journal="J Med Internet Res",
year="2022",
month="Aug",
day="31",
volume="24",
number="8",
pages="e39178",
keywords="patient",
keywords="patient design",
keywords="user design",
keywords="patient centric",
keywords="patient focus",
keywords="digital health",
keywords="future",
keywords="empowerment",
keywords="involvement",
keywords="participatory",
keywords="engagement",
keywords="participation",
keywords="patient centred",
keywords="patient centered",
doi="10.2196/39178",
url="https://www.jmir.org/2022/8/e39178",
url="http://www.ncbi.nlm.nih.gov/pubmed/36044250"
}


@Article{info:doi/10.2196/37584,
author="Rose, Christian
and D{\'i}az, Mark
and D{\'i}az, Tom{\'a}s",
title="Addressing Medicine's Dark Matter",
journal="Interact J Med Res",
year="2022",
month="Aug",
day="17",
volume="11",
number="2",
pages="e37584",
keywords="big data",
keywords="AI",
keywords="artificial intelligence",
keywords="equity",
keywords="data collection",
keywords="health care",
keywords="prediction",
keywords="model",
keywords="predict",
keywords="representative",
keywords="unrepresented",
doi="10.2196/37584",
url="https://www.i-jmr.org/2022/2/e37584",
url="http://www.ncbi.nlm.nih.gov/pubmed/35976194"
}


@Article{info:doi/10.2196/35726,
author="Black, Bell Georgia
and Bhuiya, Afsana
and Friedemann Smith, Claire
and Hirst, Yasemin
and Nicholson, David Brian",
title="Harnessing the Electronic Health Care Record to Optimize Patient Safety in Primary Care: Framework for Evaluating e--Safety-Netting Tools",
journal="JMIR Med Inform",
year="2022",
month="Aug",
day="1",
volume="10",
number="8",
pages="e35726",
keywords="primary care",
keywords="patient safety",
keywords="electronic health record",
keywords="safety",
keywords="optimize",
keywords="framework",
keywords="evaluation",
keywords="tool",
keywords="diagnostic",
keywords="uncertainty",
keywords="management",
keywords="netting",
keywords="software",
keywords="criteria",
doi="10.2196/35726",
url="https://medinform.jmir.org/2022/8/e35726",
url="http://www.ncbi.nlm.nih.gov/pubmed/35916722"
}


@Article{info:doi/10.2196/38324,
author="Royan, Regina
and Pendergrast, Rae Tricia
and Del Rios, Marina
and Rotolo, M. Shannon
and Trueger, Seth N.
and Bloomgarden, Eve
and Behrens, Deanna
and Jain, Shikha
and Arora, M. Vineet",
title="Use of Twitter Amplifiers by Medical Professionals to Combat Misinformation During the COVID-19 Pandemic",
journal="J Med Internet Res",
year="2022",
month="Jul",
day="22",
volume="24",
number="7",
pages="e38324",
keywords="social media",
keywords="combating disinformation",
keywords="misinformation",
keywords="infodemic",
keywords="amplifier",
keywords="COVID-19",
keywords="advocacy",
keywords="public health communication",
keywords="disinformation",
keywords="medical information",
keywords="health professional amplifier",
keywords="healthcare profession",
keywords="health care profession",
keywords="Twitter",
keywords="public communication",
keywords="health information",
keywords="health promotion",
doi="10.2196/38324",
url="https://www.jmir.org/2022/7/e38324",
url="http://www.ncbi.nlm.nih.gov/pubmed/35839387"
}


@Article{info:doi/10.2196/39590,
author="Wagneur, Nicolas
and Callier, Patrick
and Zeitoun, Jean-David
and Silber, Denise
and Sabatier, Remi
and Denis, Fabrice",
title="Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study",
journal="J Med Internet Res",
year="2022",
month="Jul",
day="5",
volume="24",
number="7",
pages="e39590",
keywords="scoring",
keywords="eHealth",
keywords="clinical relevance",
keywords="solution",
keywords="digital solution",
keywords="clinical validation",
keywords="prescreening",
keywords="eHealth app",
keywords="medical digital solution",
keywords="scoring tool",
keywords="health app",
keywords="information quality",
abstract="Background: In 2020, more than 250 eHealth solutions were added to app stores each day, or 90,000 in the year; however, the vast majority of these solutions have not undergone clinical validation, their quality is unknown, and the user does not know if they are effective and safe. We sought to develop a simple prescreening scoring method that would assess the quality and clinical relevance of each app. We designed this tool with 3 health care stakeholder groups in mind: eHealth solution designers seeking to evaluate a potential competitor or their own tool, investors considering a fundraising candidate, and a hospital clinician or IT department wishing to evaluate a current or potential eHealth solution. Objective: We built and tested a novel prescreening scoring tool (the Medical Digital Solution scoring tool). The tool, which consists of 26 questions that enable the quick assessment and comparison of the clinical relevance and quality of eHealth apps, was tested on 68 eHealth solutions. Methods: The Medical Digital Solution scoring tool is based on the 2021 evaluation criteria of the French National Health Authority, the 2022 European Society of Medical Oncology recommendations, and other provided scores. We built the scoring tool with patient association and eHealth experts and submitted it to eHealth app creators, who evaluated their apps via the web-based form in January 2022. After completing the evaluation criteria, their apps obtained an overall score and 4 categories of subscores. These criteria evaluated the type of solution and domain, the solution's targeted population size, the level of clinical assessment, and information about the provider. Results: In total, 68 eHealth solutions were evaluated with the scoring tool. Oncology apps (22\%, 20/90) and general health solutions (23\%, 21/90) were the most represented. Of the 68 apps, 32 (47\%) were involved in remote monitoring by health professionals. Regarding clinical outcomes, 5\% (9/169) of the apps assessed overall survival. Randomized studies had been conducted for 21\% (23/110) of the apps to assess their benefit. Of the 68 providers, 38 (56\%) declared the objective of obtaining reimbursement, and 7 (18\%) out of the 38 solutions seeking reimbursement were assessed as having a high probability of reimbursement. The median global score was 11.2 (range 4.7-17.4) out of 20 and the distribution of the scores followed a normal distribution pattern (Shapiro-Wilk test: P=.33). Conclusions: This multidomain prescreening scoring tool is simple, fast, and can be deployed on a large scale to initiate an assessment of the clinical relevance and quality of a clinical eHealth app. This simple tool can help a decision-maker determine which aspects of the app require further analysis and improvement. ",
doi="10.2196/39590",
url="https://www.jmir.org/2022/7/e39590",
url="http://www.ncbi.nlm.nih.gov/pubmed/35788102"
}


@Article{info:doi/10.2196/35884,
author="Konigorski, Stefan
and Wernicke, Sarah
and Slosarek, Tamara
and Zenner, M. Alexander
and Strelow, Nils
and Ruether, F. Darius
and Henschel, Florian
and Manaswini, Manisha
and Pottb{\"a}cker, Fabian
and Edelman, A. Jonathan
and Owoyele, Babajide
and Danieletto, Matteo
and Golden, Eddye
and Zweig, Micol
and Nadkarni, N. Girish
and B{\"o}ttinger, Erwin",
title="StudyU: A Platform for Designing and Conducting Innovative Digital N-of-1 Trials",
journal="J Med Internet Res",
year="2022",
month="Jul",
day="5",
volume="24",
number="7",
pages="e35884",
keywords="digital interventions",
keywords="N-of-1 trial",
keywords="SCED",
keywords="single-case experimental design",
keywords="web application",
keywords="mobile application",
keywords="app",
keywords="digital health",
doi="10.2196/35884",
url="https://www.jmir.org/2022/7/e35884",
url="http://www.ncbi.nlm.nih.gov/pubmed/35787512"
}


@Article{info:doi/10.2196/31921,
author="Wienert, Julian
and Jahnel, Tina
and Maa{\ss}, Laura",
title="What are Digital Public Health Interventions? First Steps Toward a Definition and an Intervention Classification Framework",
journal="J Med Internet Res",
year="2022",
month="Jun",
day="28",
volume="24",
number="6",
pages="e31921",
keywords="digital health",
keywords="digital Public Health",
keywords="digital public health interventions",
keywords="digital health technologies",
keywords="mHealth",
keywords="eHealth",
keywords="participatory approach",
keywords="framework",
keywords="mobile phone",
doi="10.2196/31921",
url="https://www.jmir.org/2022/6/e31921",
url="http://www.ncbi.nlm.nih.gov/pubmed/35763320"
}


@Article{info:doi/10.2196/37209,
author="Nguyen, Hai
and Meczner, Andras
and Burslam-Dawe, Krista
and Hayhoe, Benedict",
title="Triage Errors in Primary and Pre--Primary Care",
journal="J Med Internet Res",
year="2022",
month="Jun",
day="24",
volume="24",
number="6",
pages="e37209",
keywords="triage errors",
keywords="pre-primary care",
keywords="digital symptom checker",
keywords="primary care",
keywords="viewpoint",
keywords="triage",
keywords="symptom checker",
keywords="emergency care",
doi="10.2196/37209",
url="https://www.jmir.org/2022/6/e37209",
url="http://www.ncbi.nlm.nih.gov/pubmed/35749166"
}


@Article{info:doi/10.2196/35421,
author="Choudhury, Avishek",
title="Toward an Ecologically Valid Conceptual Framework for the Use of Artificial Intelligence in Clinical Settings: Need for Systems Thinking, Accountability, Decision-making, Trust, and Patient Safety Considerations in Safeguarding the Technology and Clinicians",
journal="JMIR Hum Factors",
year="2022",
month="Jun",
day="21",
volume="9",
number="2",
pages="e35421",
keywords="health care",
keywords="artificial intelligence",
keywords="ecological validity",
keywords="trust in AI",
keywords="clinical workload",
keywords="patient safety",
keywords="AI accountability",
keywords="reliability",
doi="10.2196/35421",
url="https://humanfactors.jmir.org/2022/2/e35421",
url="http://www.ncbi.nlm.nih.gov/pubmed/35727615"
}


@Article{info:doi/10.2196/38269,
author="Stokes-Parish, Jessica",
title="Navigating the Credibility of Web-Based Information During the COVID-19 Pandemic: Using Mnemonics to Empower the Public to Spot Red Flags in Health Information on the Internet",
journal="J Med Internet Res",
year="2022",
month="Jun",
day="17",
volume="24",
number="6",
pages="e38269",
keywords="science communication",
keywords="critical appraisal",
keywords="social media",
keywords="health literacy",
keywords="digital literacy",
keywords="misinformation",
keywords="COVID-19",
keywords="online health",
keywords="infodemic",
keywords="infodemiology",
doi="10.2196/38269",
url="https://www.jmir.org/2022/6/e38269",
url="http://www.ncbi.nlm.nih.gov/pubmed/35649183"
}


@Article{info:doi/10.2196/35804,
author="Goldberg, M. Elizabeth
and Rosen, K. Rochelle
and Dizon, S. Don
and Langdon, J. Kirsten
and Davoodi, M. Natalie
and Wray, B. Tyler
and Nugent, R. Nicole
and Dunsiger, I. Shira
and Ranney, L. Megan",
title="Using Social Media for Clinical Research: Recommendations and Examples From the Brown-Lifespan Center for Digital Health",
journal="J Med Internet Res",
year="2022",
month="Jun",
day="13",
volume="24",
number="6",
pages="e35804",
keywords="social media",
keywords="Twitter",
keywords="Facebook",
keywords="clinical research",
keywords="privacy",
keywords="institutional review board",
keywords="regulations",
keywords="regulation",
keywords="guideline",
keywords="big data",
doi="10.2196/35804",
url="https://www.jmir.org/2022/6/e35804",
url="http://www.ncbi.nlm.nih.gov/pubmed/35700012"
}


@Article{info:doi/10.2196/28354,
author="Sauvayre, Romy",
title="Types of Errors Hiding in Google Scholar Data",
journal="J Med Internet Res",
year="2022",
month="May",
day="27",
volume="24",
number="5",
pages="e28354",
keywords="reference accuracy",
keywords="database reliability",
keywords="false positives",
keywords="academic publication",
keywords="research evaluation",
keywords="scientometrics",
keywords="citation analysis",
doi="10.2196/28354",
url="https://www.jmir.org/2022/5/e28354",
url="http://www.ncbi.nlm.nih.gov/pubmed/35622395"
}


@Article{info:doi/10.2196/28911,
author="Gamhewage, Gaya
and Mahmoud, Essam Mohamed
and Tokar, Anna
and Attias, Melissa
and Mylonas, Christos
and Canna, Sara
and Utunen, Heini",
title="Digital Transformation of Face-To-Face Focus Group Methodology: Engaging a Globally Dispersed Audience to Manage Institutional Change at the World Health Organization",
journal="J Med Internet Res",
year="2022",
month="May",
day="26",
volume="24",
number="5",
pages="e28911",
keywords="qualitative research",
keywords="digitalization",
keywords="WHO",
keywords="World Health Organization",
keywords="FGDs",
keywords="focus group discussions",
doi="10.2196/28911",
url="https://www.jmir.org/2022/5/e28911",
url="http://www.ncbi.nlm.nih.gov/pubmed/35617007"
}


@Article{info:doi/10.2196/35951,
author="Clay, Ieuan
and Cormack, Francesca
and Fedor, Szymon
and Foschini, Luca
and Gentile, Giovanni
and van Hoof, Chris
and Kumar, Priya
and Lipsmeier, Florian
and Sano, Akane
and Smarr, Benjamin
and Vandendriessche, Benjamin
and De Luca, Valeria",
title="Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint",
journal="J Med Internet Res",
year="2022",
month="May",
day="26",
volume="24",
number="5",
pages="e35951",
keywords="digital measures",
keywords="quality of life",
keywords="machine learning",
keywords="digital health",
keywords="digital product",
keywords="digital wellness",
keywords="digital therapeutics",
keywords="digital therapy",
keywords="multimodal technology",
keywords="drug development",
keywords="care delivery",
keywords="data integration",
doi="10.2196/35951",
url="https://www.jmir.org/2022/5/e35951",
url="http://www.ncbi.nlm.nih.gov/pubmed/35617003"
}


@Article{info:doi/10.2196/34363,
author="Olusanya, A. Olufunto
and White, Brianna
and Melton, A. Chad
and Shaban-Nejad, Arash",
title="Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries",
journal="JMIR Form Res",
year="2022",
month="May",
day="17",
volume="6",
number="5",
pages="e34363",
keywords="COVID-19",
keywords="SARS-CoV-2",
keywords="Africa",
keywords="preparedness",
keywords="response",
keywords="recovery",
keywords="digital health",
keywords="artificial intelligence",
keywords="vaccine equity",
doi="10.2196/34363",
url="https://formative.jmir.org/2022/5/e34363",
url="http://www.ncbi.nlm.nih.gov/pubmed/35512271"
}


@Article{info:doi/10.2196/32845,
author="Tang, Chunlei
and Ma, Jing
and Zhou, Li
and Plasek, Joseph
and He, Yuqing
and Xiong, Yun
and Zhu, Yangyong
and Huang, Yajun
and Bates, David",
title="Improving Research Patient Data Repositories From a Health Data Industry Viewpoint",
journal="J Med Internet Res",
year="2022",
month="May",
day="11",
volume="24",
number="5",
pages="e32845",
keywords="data science",
keywords="big data",
keywords="data mining",
keywords="data warehousing",
keywords="information storage and retrieval",
doi="10.2196/32845",
url="https://www.jmir.org/2022/5/e32845",
url="http://www.ncbi.nlm.nih.gov/pubmed/35544299"
}


@Article{info:doi/10.2196/36338,
author="Krishnamurti, Tamar
and Birru Talabi, Mehret
and Callegari, S. Lisa
and Kazmerski, M. Traci
and Borrero, Sonya",
title="A Framework for Femtech:  Guiding Principles for Developing Digital Reproductive Health Tools in the United States",
journal="J Med Internet Res",
year="2022",
month="Apr",
day="28",
volume="24",
number="4",
pages="e36338",
keywords="United States",
keywords="North America",
keywords="femtech",
keywords="mHealth",
keywords="health equity",
keywords="pregnancy",
keywords="women's health",
keywords="preterm birth",
keywords="contraception",
keywords="family planning",
keywords="reproductive care",
keywords="sterilization",
keywords="cystic fibrosis",
keywords="rheumatic disease",
keywords="eHealth",
keywords="mobile health",
keywords="reproductive health",
keywords="digital health",
keywords="health technology",
keywords="health outcomes",
doi="10.2196/36338",
url="https://www.jmir.org/2022/4/e36338",
url="http://www.ncbi.nlm.nih.gov/pubmed/35482371"
}


@Article{info:doi/10.2196/36143,
author="MacPherson, Megan
and Merry, Kohle
and Locke, Sean
and Jung, Mary",
title="Developing Mobile Health Interventions With Implementation in Mind: Application of the Multiphase Optimization Strategy (MOST) Preparation Phase to Diabetes Prevention Programming",
journal="JMIR Form Res",
year="2022",
month="Apr",
day="26",
volume="6",
number="4",
pages="e36143",
keywords="text messaging",
keywords="prediabetic state",
keywords="telemedicine",
keywords="telecommunications",
keywords="exercise",
keywords="diet",
keywords="preventive medicine",
keywords="mHealth",
keywords="intervention development",
keywords="behavior change",
keywords="mobile phone",
doi="10.2196/36143",
url="https://formative.jmir.org/2022/4/e36143",
url="http://www.ncbi.nlm.nih.gov/pubmed/35471473"
}


@Article{info:doi/10.2196/33167,
author="Kogetsu, Atsushi
and Kato, Kazuto",
title="Framework and Practical Guidance for the Ethical Use of Electronic Methods for Communication With Participants in Medical Research",
journal="J Med Internet Res",
year="2022",
month="Apr",
day="20",
volume="24",
number="4",
pages="e33167",
keywords="online communication",
keywords="electronic methods",
keywords="online recruitment",
keywords="electronic informed consent",
keywords="e-IC",
keywords="digital consent",
keywords="online consent",
keywords="data communication",
keywords="digital health",
doi="10.2196/33167",
url="https://www.jmir.org/2022/4/e33167",
url="http://www.ncbi.nlm.nih.gov/pubmed/35442208"
}


@Article{info:doi/10.2196/35037,
author="Roy, Joy
and Levy, R. Deborah
and Senathirajah, Yalini",
title="Defining Telehealth for Research, Implementation, and Equity",
journal="J Med Internet Res",
year="2022",
month="Apr",
day="13",
volume="24",
number="4",
pages="e35037",
keywords="telehealth",
keywords="telemedicine",
keywords="standards",
keywords="health equity",
keywords="public health",
keywords="digital health",
keywords="delivery of health care",
doi="10.2196/35037",
url="https://www.jmir.org/2022/4/e35037",
url="http://www.ncbi.nlm.nih.gov/pubmed/35416778"
}


@Article{info:doi/10.2196/36804,
author="Basch, H. Corey
and Basch, E. Charles
and Hillyer, C. Grace
and Meleo-Erwin, C. Zoe",
title="Social Media, Public Health, and Community Mitigation of COVID-19: Challenges, Risks, and Benefits",
journal="J Med Internet Res",
year="2022",
month="Apr",
day="12",
volume="24",
number="4",
pages="e36804",
keywords="COVID-19 pandemic",
keywords="social media",
keywords="misinformation",
keywords="disinformation",
keywords="COVID-19",
keywords="pandemic",
keywords="infodemiology",
keywords="health literacy",
keywords="health information",
keywords="public health",
keywords="COVID risk",
keywords="information seeking",
doi="10.2196/36804",
url="https://www.jmir.org/2022/4/e36804",
url="http://www.ncbi.nlm.nih.gov/pubmed/35380539"
}


@Article{info:doi/10.2196/29841,
author="Hussain-Shamsy, Neesha
and McMillan, Ian
and Cook, Sheridan
and Furfaro-Argier, Alyssa
and Sadler, Andrea
and Delos-Reyes, Faith
and Wasserman, Lori
and Bhatia, Sacha
and Martin, Danielle
and Seto, Emily
and Vigod, N. Simone
and Zaheer, Juveria
and Agarwal, Payal
and Mukerji, Geetha",
title="Operationalizing and Evaluating Synchronous Virtual Group Health Interventions: Wide-Scale Implementation at a Tertiary Care Academic Hospital",
journal="J Med Internet Res",
year="2022",
month="Apr",
day="7",
volume="24",
number="4",
pages="e29841",
keywords="virtual care",
keywords="group therapy",
keywords="patient education",
keywords="videoconferencing",
keywords="sustainability",
keywords="innovation",
keywords="health systems",
keywords="health promotion",
keywords="patient portal",
keywords="electronic medical records",
keywords="health service delivery",
keywords="video call",
doi="10.2196/29841",
url="https://www.jmir.org/2022/4/e29841",
url="http://www.ncbi.nlm.nih.gov/pubmed/35389350"
}


@Article{info:doi/10.2196/29307,
author="Landerdahl Stridsberg, Sara
and Richardson, X. Matt
and Redekop, Ken
and Ehn, Maria
and Wamala Andersson, Sarah",
title="Gray Literature in Evaluating Effectiveness in Digital Health and Health and Welfare Technology: A Source Worth Considering",
journal="J Med Internet Res",
year="2022",
month="Mar",
day="23",
volume="24",
number="3",
pages="e29307",
keywords="health and welfare technology",
keywords="digital health",
keywords="gray literature",
keywords="information retrieval",
abstract="Background: The need to assess the effectiveness and value of interventions involving digital health and health and welfare technologies is becoming increasingly important due to the rapidly growing development of these technologies and their areas of application. Systematic reviews of scientific literature are a mainstay of such assessment, but publications outside the realm of traditional scientific bibliographic databases---known as gray literature---are often not included. This is a disadvantage, particularly apparent in the health and welfare technology (HWT) domain. Objective: The aim of this article is to investigate the significance of gray literature in digital health and HWT when reviewing literature. As an example, the impact of including gray literature to the result of two systematic reviews in HWT is examined. Methods: In this paper, we identify, discuss, and suggest methods for including gray literature sources when evaluating effectiveness and appropriateness for different review types related to HWT. The analysis also includes established sources, search strategies, documentation, and reporting of searches, as well as bias and credibility assessment. The differences in comparison to scientific bibliographic databases are elucidated. We describe the results, challenges, and benefits of including gray literature in 2 examples of systematic reviews of HWT. Results: In the 2 systematic reviews described in this paper, most included studies came from context-specific gray literature sources. Gray literature contributed to the overall result of the reviews and corresponded well with the reviews' aims. The assessed risk of bias of the included studies derived from gray literature was similar to the included studies from other types of sources. However, because of less standardized publication formats, assessing and extracting data from gray literature studies were more time-consuming and compiling statistical results was not possible. The search process for gray literature required more time and the reproducibility of gray literature searches were less certain due to more unstable publication platforms. Conclusions: Gray literature is particularly relevant for digital health and HWT but searches need to be conducted systematically and reported transparently. This way gray literature can broaden the range of studies, highlight context specificity, and decrease the publication bias of reviews of effectiveness of HWT. Thus, researchers conducting systematic reviews related to HWT should consider including gray literature based on a systematic approach. ",
doi="10.2196/29307",
url="https://www.jmir.org/2022/3/e29307",
url="http://www.ncbi.nlm.nih.gov/pubmed/35319479"
}


@Article{info:doi/10.2196/32245,
author="Zirikly, Ayah
and Desmet, Bart
and Newman-Griffis, Denis
and Marfeo, E. Elizabeth
and McDonough, Christine
and Goldman, Howard
and Chan, Leighton",
title="Information Extraction Framework for Disability Determination Using a Mental Functioning Use-Case",
journal="JMIR Med Inform",
year="2022",
month="Mar",
day="18",
volume="10",
number="3",
pages="e32245",
keywords="natural language processing",
keywords="text mining",
keywords="bioinformatics",
keywords="health informatics",
keywords="machine learning",
keywords="disability",
keywords="mental health",
keywords="functioning",
keywords="NLP",
keywords="electronic health record",
keywords="framework",
keywords="EHR",
keywords="automation",
keywords="eHealth",
keywords="decision support",
keywords="functional status",
keywords="whole-person function",
doi="10.2196/32245",
url="https://medinform.jmir.org/2022/3/e32245",
url="http://www.ncbi.nlm.nih.gov/pubmed/35302510"
}


@Article{info:doi/10.2196/30619,
author="Rundle, Graham Andrew
and Bader, Miller Michael David
and Mooney, John Stephen",
title="The Disclosure of Personally Identifiable Information in Studies of Neighborhood Contexts and Patient Outcomes",
journal="J Med Internet Res",
year="2022",
month="Mar",
day="17",
volume="24",
number="3",
pages="e30619",
keywords="geocode",
keywords="patient privacy",
keywords="ethical conduct of research",
keywords="disclosure",
keywords="privacy",
keywords="security",
keywords="identification",
keywords="health information",
keywords="strategy",
keywords="outcome",
keywords="neighborhood",
doi="10.2196/30619",
url="https://www.jmir.org/2022/3/e30619",
url="http://www.ncbi.nlm.nih.gov/pubmed/35103610"
}


@Article{info:doi/10.2196/24582,
author="Schlieter, Hannes
and Marsch, A. Lisa
and Whitehouse, Diane
and Otto, Lena
and Londral, Rita Ana
and Teepe, Wilhelm Gisbert
and Benedict, Martin
and Ollier, Joseph
and Ulmer, Tom
and Gasser, Nathalie
and Ultsch, Sabine
and Wollschlaeger, Bastian
and Kowatsch, Tobias",
title="Scale-up of Digital Innovations in Health Care: Expert Commentary on Enablers and Barriers",
journal="J Med Internet Res",
year="2022",
month="Mar",
day="11",
volume="24",
number="3",
pages="e24582",
keywords="digital health",
keywords="health care delivery",
keywords="health interventions",
keywords="digital health services",
keywords="enablers",
keywords="barriers",
doi="10.2196/24582",
url="https://www.jmir.org/2022/3/e24582",
url="http://www.ncbi.nlm.nih.gov/pubmed/35275065"
}


@Article{info:doi/10.2196/31684,
author="Gao, Chuang
and McGilchrist, Mark
and Mumtaz, Shahzad
and Hall, Christopher
and Anderson, Ann Lesley
and Zurowski, John
and Gordon, Sharon
and Lumsden, Joanne
and Munro, Vicky
and Wozniak, Artur
and Sibley, Michael
and Banks, Christopher
and Duncan, Chris
and Linksted, Pamela
and Hume, Alastair
and Stables, L. Catherine
and Mayor, Charlie
and Caldwell, Jacqueline
and Wilde, Katie
and Cole, Christian
and Jefferson, Emily",
title="A National Network of Safe Havens: Scottish Perspective",
journal="J Med Internet Res",
year="2022",
month="Mar",
day="9",
volume="24",
number="3",
pages="e31684",
keywords="electronic health records",
keywords="Safe Haven",
keywords="data governance",
doi="10.2196/31684",
url="https://www.jmir.org/2022/3/e31684",
url="http://www.ncbi.nlm.nih.gov/pubmed/35262495"
}


@Article{info:doi/10.2196/32800,
author="Tajirian, Tania
and Jankowicz, Damian
and Lo, Brian
and Sequeira, Lydia
and Strudwick, Gillian
and Almilaji, Khaled
and Stergiopoulos, Vicky",
title="Tackling the Burden of Electronic Health Record Use Among Physicians in a Mental Health Setting: Physician Engagement Strategy",
journal="J Med Internet Res",
year="2022",
month="Mar",
day="8",
volume="24",
number="3",
pages="e32800",
keywords="burnout",
keywords="organizational strategy",
keywords="electronic health record use",
keywords="clinical informatics",
keywords="medical informatics",
doi="10.2196/32800",
url="https://www.jmir.org/2022/3/e32800",
url="http://www.ncbi.nlm.nih.gov/pubmed/35258473"
}


@Article{info:doi/10.2196/27691,
author="Liaw, R. Winston
and Westfall, M. John
and Williamson, S. Tyler
and Jabbarpour, Yalda
and Bazemore, Andrew",
title="Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health",
journal="JMIR Med Inform",
year="2022",
month="Mar",
day="8",
volume="10",
number="3",
pages="e27691",
keywords="artificial intelligence",
keywords="primary care",
doi="10.2196/27691",
url="https://medinform.jmir.org/2022/3/e27691",
url="http://www.ncbi.nlm.nih.gov/pubmed/35258464"
}


@Article{info:doi/10.2196/29506,
author="Yang, Hsuan-Chia
and Rahmanti, Ristya Annisa
and Huang, Chih-Wei
and Li, Jack Yu-Chuan",
title="How Can Research on Artificial Empathy Be Enhanced by Applying Deepfakes?",
journal="J Med Internet Res",
year="2022",
month="Mar",
day="4",
volume="24",
number="3",
pages="e29506",
keywords="artificial empathy",
keywords="deepfakes",
keywords="doctor-patient relationship",
keywords="face emotion recognition",
keywords="artificial intelligence",
keywords="facial recognition",
keywords="facial emotion recognition",
keywords="medical images",
keywords="patient",
keywords="physician",
keywords="therapy",
doi="10.2196/29506",
url="https://www.jmir.org/2022/3/e29506",
url="http://www.ncbi.nlm.nih.gov/pubmed/35254278"
}


@Article{info:doi/10.2196/29422,
author="Willis, Erin
and Delbaere, Marjorie",
title="Patient Influencers: The Next Frontier in Direct-to-Consumer Pharmaceutical Marketing",
journal="J Med Internet Res",
year="2022",
month="Mar",
day="1",
volume="24",
number="3",
pages="e29422",
keywords="social media",
keywords="influencers",
keywords="health",
keywords="pharmaceutical marketing",
keywords="direct-to-consumer advertising",
keywords="relationship marketing",
keywords="marketing",
keywords="advertising",
keywords="pharmaceuticals",
keywords="ethics",
doi="10.2196/29422",
url="https://www.jmir.org/2022/3/e29422",
url="http://www.ncbi.nlm.nih.gov/pubmed/35230241"
}


@Article{info:doi/10.2196/33819,
author="van Kessel, Robin
and Hrzic, Rok
and O'Nuallain, Ella
and Weir, Elizabeth
and Wong, Han Brian Li
and Anderson, Michael
and Baron-Cohen, Simon
and Mossialos, Elias",
title="Digital Health Paradox: International Policy Perspectives to Address Increased Health Inequalities for People Living With Disabilities",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="22",
volume="24",
number="2",
pages="e33819",
keywords="digital health",
keywords="eHealth",
keywords="health policy",
keywords="health systems",
keywords="disability",
keywords="inclusion",
keywords="digital technologies",
keywords="people living with disabilities",
doi="10.2196/33819",
url="https://www.jmir.org/2022/2/e33819",
url="http://www.ncbi.nlm.nih.gov/pubmed/35191848"
}


@Article{info:doi/10.2196/30201,
author="van Elten, J. Hilco
and S{\"u}lz, Sandra
and van Raaij, M. Erik
and Wehrens, Rik",
title="Big Data Health Care Innovations: Performance Dashboarding as a Process of Collective Sensemaking",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="22",
volume="24",
number="2",
pages="e30201",
keywords="dashboarding",
keywords="big data",
keywords="balanced scorecard",
keywords="performance measurement",
keywords="key performance indicators",
keywords="digital health",
keywords="dashboards",
keywords="knowledge translation",
keywords="health information",
keywords="stakeholders",
keywords="health care",
abstract="International Registered Report Identifier (IRRID): RR2-10.2196/16779 ",
doi="10.2196/30201",
url="https://www.jmir.org/2022/2/e30201",
url="http://www.ncbi.nlm.nih.gov/pubmed/35191847"
}


@Article{info:doi/10.2196/34085,
author="Arvisais-Anhalt, Simone
and Lau, May
and Lehmann, U. Christoph
and Holmgren, Jay A.
and Medford, J. Richard
and Ramirez, M. Charina
and Chen, N. Clifford",
title="The 21st Century Cures Act and Multiuser Electronic Health Record Access: Potential Pitfalls of Information Release",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="17",
volume="24",
number="2",
pages="e34085",
keywords="21st Century Cures Act",
keywords="Open Notes",
keywords="Information Blocking",
keywords="multiuser EHR access",
keywords="proxy EHR access",
keywords="adolescent Health",
keywords="health IT Policy",
keywords="information technology",
keywords="cures act",
keywords="electronic health record",
keywords="electronic health information",
keywords="health information",
keywords="patient care",
doi="10.2196/34085",
url="https://www.jmir.org/2022/2/e34085",
url="http://www.ncbi.nlm.nih.gov/pubmed/35175207"
}


@Article{info:doi/10.2196/28704,
author="Sinicrope, S. Pamela
and Young, D. Colleen
and Resnicow, Ken
and Merritt, T. Zoe
and McConnell, R. Clara
and Hughes, A. Christine
and Koller, R. Kathryn
and Bock, J. Martha
and Decker, A. Paul
and Flanagan, A. Christie
and Meade, D. Crystal
and Thomas, K. Timothy
and Prochaska, J. Judith
and Patten, A. Christi",
title="Lessons Learned From Beta-Testing a Facebook Group Prototype to Promote Treatment Use in the ``Connecting Alaska Native People to Quit Smoking'' (CAN Quit) Study",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="17",
volume="24",
number="2",
pages="e28704",
keywords="Web 2.0",
keywords="social media",
keywords="Facebook",
keywords="Alaska Native",
keywords="American Indian",
keywords="Alaska",
keywords="smoking",
keywords="cessation",
keywords="cancer prevention",
keywords="Quitline",
keywords="mobile phone",
doi="10.2196/28704",
url="https://www.jmir.org/2022/2/e28704",
url="http://www.ncbi.nlm.nih.gov/pubmed/35175208"
}


@Article{info:doi/10.2196/33149,
author="Komenda, Martin
and ?ern{\'y}, Vladim{\'i}r
and {\vS}najd{\'a}rek, Petr
and Karolyi, Mat?j
and Hejn{\'y}, Milo{\vs}
and Pano{\vs}ka, Petr
and Jarkovsk{\'y}, Ji?{\'i}
and Gregor, Jakub
and Bulhart, Vojt?ch
and {\vS}najdrov{\'a}, Lenka
and M{\'a}jek, Ond?ej
and Vymazal, Tom{\'a}{\vs}
and Blatn{\'y}, Jan
and Du{\vs}ek, Ladislav",
title="Control Centre for Intensive Care as a Tool for Effective Coordination, Real-Time Monitoring, and Strategic Planning During the COVID-19 Pandemic",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="16",
volume="24",
number="2",
pages="e33149",
keywords="COVID-19",
keywords="coronavirus",
keywords="intensive care",
keywords="inpatient care",
keywords="online control center",
keywords="prescription",
keywords="open data",
keywords="ICU",
keywords="monitoring",
keywords="strategy",
keywords="development",
keywords="app",
keywords="function",
keywords="Czech Republic",
keywords="inpatient",
keywords="crisis management",
doi="10.2196/33149",
url="https://www.jmir.org/2022/2/e33149",
url="http://www.ncbi.nlm.nih.gov/pubmed/34995207"
}


@Article{info:doi/10.2196/34560,
author="Bove, Riley
and Schleimer, Erica
and Sukhanov, Paul
and Gilson, Michael
and Law, M. Sindy
and Barnecut, Andrew
and Miller, L. Bruce
and Hauser, L. Stephen
and Sanders, J. Stephan
and Rankin, P. Katherine",
title="Building a Precision Medicine Delivery Platform for Clinics: The University of California, San Francisco, BRIDGE Experience",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="15",
volume="24",
number="2",
pages="e34560",
keywords="precision medicine",
keywords="clinical implementation",
keywords="in silico trials",
keywords="clinical dashboard",
keywords="precision",
keywords="implementation",
keywords="dashboard",
keywords="design",
keywords="experience",
keywords="analytic",
keywords="tool",
keywords="analysis",
keywords="decision-making",
keywords="real time",
keywords="platform",
keywords="human-centered design",
doi="10.2196/34560",
url="https://www.jmir.org/2022/2/e34560",
url="http://www.ncbi.nlm.nih.gov/pubmed/35166689"
}


@Article{info:doi/10.2196/30524,
author="Kilgallon, L. John
and Tewarie, Ashwini Ishaan
and Broekman, D. Marike L.
and Rana, Aakanksha
and Smith, R. Timothy",
title="Passive Data Use for Ethical Digital Public Health Surveillance in a Postpandemic World",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="15",
volume="24",
number="2",
pages="e30524",
keywords="passive data",
keywords="public health surveillance",
keywords="digital public health surveillance",
keywords="pandemic response",
keywords="data privacy",
keywords="digital phenotyping",
keywords="smartphone",
keywords="mobile phone",
keywords="mHealth",
keywords="digital health",
keywords="informed consent",
keywords="data equity",
keywords="data ownership",
doi="10.2196/30524",
url="https://www.jmir.org/2022/2/e30524",
url="http://www.ncbi.nlm.nih.gov/pubmed/35166676"
}


@Article{info:doi/10.2196/33961,
author="Bhattacharyya, Onil
and Shapiro, Justin
and Schneider, C. Eric",
title="Innovation Centers in Health Care Delivery Systems: Structures for Success",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="10",
volume="24",
number="2",
pages="e33961",
keywords="innovation",
keywords="digital health",
keywords="value-based care",
keywords="quality improvement",
keywords="delivery science",
keywords="value",
keywords="structure",
keywords="success",
keywords="health care delivery",
keywords="reform",
keywords="survey",
keywords="outcome",
keywords="experience",
keywords="strategy",
doi="10.2196/33961",
url="https://www.jmir.org/2022/2/e33961",
url="http://www.ncbi.nlm.nih.gov/pubmed/35142631"
}


@Article{info:doi/10.2196/31146,
author="Shen, X. Francis
and Silverman, C. Benjamin
and Monette, Patrick
and Kimble, Sara
and Rauch, L. Scott
and Baker, T. Justin",
title="An Ethics Checklist for Digital Health Research in Psychiatry: Viewpoint",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="9",
volume="24",
number="2",
pages="e31146",
keywords="digital phenotyping",
keywords="computataional psychiatry",
keywords="ethics",
keywords="law",
keywords="privacy",
keywords="informed consent",
abstract="Background: Psychiatry has long needed a better and more scalable way to capture the dynamics of behavior and its disturbances, quantitatively across multiple data channels, at high temporal resolution in real time. By combining 24/7 data---on location, movement, email and text communications, and social media---with brain scans, genetics, genomics, neuropsychological batteries, and clinical interviews, researchers will have an unprecedented amount of objective, individual-level data. Analyzing these data with ever-evolving artificial intelligence could one day include bringing interventions to patients where they are in the real world in a convenient, efficient, effective, and timely way. Yet, the road to this innovative future is fraught with ethical dilemmas as well as ethical, legal, and social implications (ELSI). Objective: The goal of the Ethics Checklist is to promote careful design and execution of research. It is not meant to mandate particular research designs; indeed, at this early stage and without consensus guidance, there are a range of reasonable choices researchers may make. However, the checklist is meant to make those ethical choices explicit, and to require researchers to give reasons for their decisions related to ELSI issues. The Ethics Checklist is primarily focused on procedural safeguards, such as consulting with experts outside the research group and documenting standard operating procedures for clearly actionable data (eg, expressed suicidality) within written research protocols. Methods: We explored the ELSI of digital health research in psychiatry, with a particular focus on what we label ``deep phenotyping'' psychiatric research, which combines the potential for virtually boundless data collection and increasingly sophisticated techniques to analyze those data. We convened an interdisciplinary expert stakeholder workshop in May 2020, and this checklist emerges out of that dialogue. Results: Consistent with recent ELSI analyses, we find that existing ethical guidance and legal regulations are not sufficient for deep phenotyping research in psychiatry. At present, there are regulatory gaps, inconsistencies across research teams in ethics protocols, and a lack of consensus among institutional review boards on when and how deep phenotyping research should proceed. We thus developed a new instrument, an Ethics Checklist for Digital Health Research in Psychiatry (``the Ethics Checklist''). The Ethics Checklist is composed of 20 key questions, subdivided into 6 interrelated domains: (1) informed consent; (2) equity, diversity, and access; (3) privacy and partnerships; (4) regulation and law; (5) return of results; and (6) duty to warn and duty to report. Conclusions: Deep phenotyping research offers a vision for vastly more effective care for people with, or at risk for, psychiatric disease. The potential perils en route to realizing this vision are significant; however, and researchers must be willing to address the questions in the Ethics Checklist before embarking on each leg of the journey. ",
doi="10.2196/31146",
url="https://www.jmir.org/2022/2/e31146",
url="http://www.ncbi.nlm.nih.gov/pubmed/35138261"
}


@Article{info:doi/10.2196/32714,
author="Khan, Ullah Waqas
and Shachak, Aviv
and Seto, Emily",
title="Understanding Decision-Making in the Adoption of Digital Health Technology: The Role of Behavioral Economics' Prospect Theory",
journal="J Med Internet Res",
year="2022",
month="Feb",
day="7",
volume="24",
number="2",
pages="e32714",
keywords="decision-making",
keywords="digital health technology adoption",
keywords="prospect theory",
doi="10.2196/32714",
url="https://www.jmir.org/2022/2/e32714",
url="http://www.ncbi.nlm.nih.gov/pubmed/35129459"
}


@Article{info:doi/10.2196/32713,
author="Corman, Peterson Benjamin Harris
and Rajupet, Sritha
and Ye, Fan
and Schoenfeld, Randi Elinor",
title="The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2",
journal="J Med Internet Res",
year="2022",
month="Jan",
day="26",
volume="24",
number="1",
pages="e32713",
keywords="SARS CoV-2",
keywords="COVID-19",
keywords="post-acute sequelae of SARS CoV-2 (PASC)",
keywords="post-COVID",
keywords="long COVID",
keywords="continuous sensing",
keywords="passive monitoring",
keywords="wearable sensors",
keywords="contactless sensors",
keywords="vital sign monitoring",
doi="10.2196/32713",
url="https://www.jmir.org/2022/1/e32713",
url="http://www.ncbi.nlm.nih.gov/pubmed/34932496"
}


@Article{info:doi/10.2196/32362,
author="Thivel, David
and Corteval, Alice
and Favreau, Jean-Marie
and Bergeret, Emmanuel
and Samalin, Ludovic
and Costes, Fr{\'e}d{\'e}ric
and Toumani, Farouk
and Dual{\'e}, Christian
and Pereira, Bruno
and Eschalier, Alain
and Fearnbach, Nicole
and Duclos, Martine
and Tournadre, Anne",
title="Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project",
journal="J Med Internet Res",
year="2022",
month="Jan",
day="14",
volume="24",
number="1",
pages="e32362",
keywords="indicator",
keywords="fine body motion",
keywords="movement behaviors",
keywords="decomposition",
keywords="structuration",
keywords="sequencing",
doi="10.2196/32362",
url="https://www.jmir.org/2022/1/e32362",
url="http://www.ncbi.nlm.nih.gov/pubmed/35029537"
}


@Article{info:doi/10.2196/27952,
author="Shaikh, Ahmed
and Bhatia, Abhishek
and Yadav, Ghanshyam
and Hora, Shashwat
and Won, Chung
and Shankar, Mark
and Heerboth, Aaron
and Vemulapalli, Prakash
and Navalkar, Paresh
and Oswal, Kunal
and Heaton, Clay
and Saunik, Sujata
and Khanna, Tarun
and Balsari, Satchit",
title="Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint",
journal="J Med Internet Res",
year="2022",
month="Jan",
day="10",
volume="24",
number="1",
pages="e27952",
keywords="mHealth",
keywords="design",
keywords="human centered design",
keywords="intervention",
keywords="syndromic surveillance",
keywords="digital health",
doi="10.2196/27952",
url="https://www.jmir.org/2022/1/e27952",
url="http://www.ncbi.nlm.nih.gov/pubmed/35006088"
}


@Article{info:doi/10.2196/29876,
author="Pham, Quynh
and El-Dassouki, Noor
and Lohani, Raima
and Jebanesan, Aravinth
and Young, Karen",
title="The Future of Virtual Care for Older Ethnic Adults Beyond the COVID-19 Pandemic",
journal="J Med Internet Res",
year="2022",
month="Jan",
day="7",
volume="24",
number="1",
pages="e29876",
keywords="virtual care",
keywords="digital health",
keywords="health equity",
keywords="cultural equity",
keywords="chronic disease",
keywords="caregivers",
keywords="ethnocultural minority",
keywords="older adults",
keywords="ethnicity",
keywords="ethnic patients",
keywords="technology-mediated care",
keywords="equity",
keywords="diversity",
keywords="family",
doi="10.2196/29876",
url="https://www.jmir.org/2022/1/e29876",
url="http://www.ncbi.nlm.nih.gov/pubmed/34994707"
}


@Article{info:doi/10.2196/25419,
author="Lee, WJ Edmund
and McCloud, F. Rachel
and Viswanath, Kasisomayajula",
title="Designing Effective eHealth Interventions for Underserved Groups: Five Lessons From a Decade of eHealth Intervention Design and Deployment",
journal="J Med Internet Res",
year="2022",
month="Jan",
day="7",
volume="24",
number="1",
pages="e25419",
keywords="eHealth",
keywords="mobile health",
keywords="communication inequalities",
keywords="health disparities",
keywords="health informatics",
keywords="mobile phone",
doi="10.2196/25419",
url="https://www.jmir.org/2022/1/e25419",
url="http://www.ncbi.nlm.nih.gov/pubmed/34994700"
}


@Article{info:doi/10.2196/25230,
author="Forgie, E. Ella M.
and Lai, Hollis
and Cao, Bo
and Stroulia, Eleni
and Greenshaw, J. Andrew
and Goez, Helly",
title="Social Media and the Transformation of the Physician-Patient Relationship: Viewpoint",
journal="J Med Internet Res",
year="2021",
month="Dec",
day="24",
volume="23",
number="12",
pages="e25230",
keywords="social media",
keywords="social determinants of health",
keywords="precision medicine",
keywords="patient care",
doi="10.2196/25230",
url="https://www.jmir.org/2021/12/e25230",
url="http://www.ncbi.nlm.nih.gov/pubmed/34951596"
}


@Article{info:doi/10.2196/25414,
author="Bartlett Ellis, Rebecca
and Wright, Julie
and Miller, Soederberg Lisa
and Jake-Schoffman, Danielle
and Hekler, B. Eric
and Goldstein, M. Carly
and Arigo, Danielle
and Nebeker, Camille",
title="Lessons Learned: Beta-Testing the Digital Health Checklist for Researchers Prompts a Call to Action by Behavioral Scientists",
journal="J Med Internet Res",
year="2021",
month="Dec",
day="22",
volume="23",
number="12",
pages="e25414",
keywords="digital health",
keywords="mHealth",
keywords="research ethics",
keywords="institutional review board",
keywords="IRB",
keywords="behavioral medicine",
keywords="wearable sensors",
keywords="social media",
keywords="bioethics",
keywords="data management",
keywords="usability",
keywords="privacy",
keywords="access",
keywords="risks and benefits",
keywords="mobile phone",
doi="10.2196/25414",
url="https://www.jmir.org/2021/12/e25414",
url="http://www.ncbi.nlm.nih.gov/pubmed/34941548"
}


@Article{info:doi/10.2196/29737,
author="Vallury, Dee Kari
and Baird, Barbara
and Miller, Emma
and Ward, Paul",
title="Going Viral: Researching Safely on Social Media",
journal="J Med Internet Res",
year="2021",
month="Dec",
day="13",
volume="23",
number="12",
pages="e29737",
keywords="cyber bullying",
keywords="online bullying",
keywords="research activities",
keywords="occupational safety",
keywords="research ethics",
keywords="students",
keywords="bullying",
keywords="social media",
doi="10.2196/29737",
url="https://www.jmir.org/2021/12/e29737",
url="http://www.ncbi.nlm.nih.gov/pubmed/34898450"
}


@Article{info:doi/10.2196/28120,
author="Guedalia, Joshua
and Lipschuetz, Michal
and Cohen, M. Sarah
and Sompolinsky, Yishai
and Walfisch, Asnat
and Sheiner, Eyal
and Sergienko, Ruslan
and Rosenbloom, Joshua
and Unger, Ron
and Yagel, Simcha
and Hochler, Hila",
title="Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery: Overcoming Challenges Posed by Interfacility Variation",
journal="J Med Internet Res",
year="2021",
month="Dec",
day="10",
volume="23",
number="12",
pages="e28120",
keywords="machine learning",
keywords="algorithm transport",
keywords="health outcomes",
keywords="health care facilities",
keywords="artificial intelligence",
keywords="AI",
keywords="ML",
keywords="pregnancy",
keywords="birth",
keywords="pediatrics",
keywords="neonatal",
keywords="prenatal",
doi="10.2196/28120",
url="https://www.jmir.org/2021/12/e28120",
url="http://www.ncbi.nlm.nih.gov/pubmed/34890352"
}


@Article{info:doi/10.2196/30315,
author="MacKinnon, Ross Kinnon
and Kia, Hannah
and Lacombe-Duncan, Ashley",
title="Examining TikTok's Potential for Community-Engaged Digital Knowledge Mobilization With Equity-Seeking Groups",
journal="J Med Internet Res",
year="2021",
month="Dec",
day="9",
volume="23",
number="12",
pages="e30315",
keywords="trans",
keywords="nonbinary",
keywords="marginalized communities",
keywords="gender-affirming care",
keywords="digital health",
keywords="community-engaged research",
keywords="knowledge mobilization",
keywords="mobile phone",
doi="10.2196/30315",
url="https://www.jmir.org/2021/12/e30315",
url="http://www.ncbi.nlm.nih.gov/pubmed/34889739"
}


@Article{info:doi/10.2196/29812,
author="Allam, Ahmed
and Feuerriegel, Stefan
and Rebhan, Michael
and Krauthammer, Michael",
title="Analyzing Patient Trajectories With Artificial Intelligence",
journal="J Med Internet Res",
year="2021",
month="Dec",
day="3",
volume="23",
number="12",
pages="e29812",
keywords="patient trajectories",
keywords="longitudinal data",
keywords="digital medicine",
keywords="artificial intelligence",
keywords="machine learning",
doi="10.2196/29812",
url="https://www.jmir.org/2021/12/e29812",
url="http://www.ncbi.nlm.nih.gov/pubmed/34870606"
}


@Article{info:doi/10.2196/20028,
author="Ye, Ye
and Barapatre, Seemran
and Davis, K. Michael
and Elliston, O. Keith
and Davatzikos, Christos
and Fedorov, Andrey
and Fillion-Robin, Jean-Christophe
and Foster, Ian
and Gilbertson, R. John
and Lasso, Andras
and Miller, V. James
and Morgan, Martin
and Pieper, Steve
and Raumann, E. Brigitte
and Sarachan, D. Brion
and Savova, Guergana
and Silverstein, C. Jonathan
and Taylor, P. Donald
and Zelnis, B. Joyce
and Zhang, Guo-Qiang
and Cuticchia, Jamie
and Becich, J. Michael",
title="Open-source Software Sustainability Models: Initial White Paper From the Informatics Technology for Cancer Research Sustainability and Industry Partnership Working Group",
journal="J Med Internet Res",
year="2021",
month="Dec",
day="2",
volume="23",
number="12",
pages="e20028",
keywords="open-source software",
keywords="sustainability",
keywords="licensing model",
keywords="financial model",
keywords="product management",
keywords="cancer informatics",
abstract="Background: The National Cancer Institute Informatics Technology for Cancer Research (ITCR) program provides a series of funding mechanisms to create an ecosystem of open-source software (OSS) that serves the needs of cancer research. As the ITCR ecosystem substantially grows, it faces the challenge of the long-term sustainability of the software being developed by ITCR grantees. To address this challenge, the ITCR sustainability and industry partnership working group (SIP-WG) was convened in 2019. Objective: The charter of the SIP-WG is to investigate options to enhance the long-term sustainability of the OSS being developed by ITCR, in part by developing a collection of business model archetypes that can serve as sustainability plans for ITCR OSS development initiatives. The working group assembled models from the ITCR program, from other studies, and from the engagement of its extensive network of relationships with other organizations (eg, Chan Zuckerberg Initiative, Open Source Initiative, and Software Sustainability Institute) in support of this objective. Methods: This paper reviews the existing sustainability models and describes 10 OSS use cases disseminated by the SIP-WG and others, including 3D Slicer, Bioconductor, Cytoscape, Globus, i2b2 (Informatics for Integrating Biology and the Bedside) and tranSMART, Insight Toolkit, Linux, Observational Health Data Sciences and Informatics tools, R, and REDCap (Research Electronic Data Capture), in 10 sustainability aspects: governance, documentation, code quality, support, ecosystem collaboration, security, legal, finance, marketing, and dependency hygiene. Results: Information available to the public reveals that all 10 OSS have effective governance, comprehensive documentation, high code quality, reliable dependency hygiene, strong user and developer support, and active marketing. These OSS include a variety of licensing models (eg, general public license version 2, general public license version 3, Berkeley Software Distribution, and Apache 3) and financial models (eg, federal research funding, industry and membership support, and commercial support). However, detailed information on ecosystem collaboration and security is not publicly provided by most OSS. Conclusions: We recommend 6 essential attributes for research software: alignment with unmet scientific needs, a dedicated development team, a vibrant user community, a feasible licensing model, a sustainable financial model, and effective product management. We also stress important actions to be considered in future ITCR activities that involve the discussion of the sustainability and licensing models for ITCR OSS, the establishment of a central library, the allocation of consulting resources to code quality control, ecosystem collaboration, security, and dependency hygiene. ",
doi="10.2196/20028",
url="https://www.jmir.org/2021/12/e20028",
url="http://www.ncbi.nlm.nih.gov/pubmed/34860667"
}


@Article{info:doi/10.2196/33861,
author="Karabacak, Mert
and Ozkara, Berksu Burak
and Ozcan, Zeynep",
title="Adjusting to the Reign of Webinars: Viewpoint",
journal="JMIR Med Educ",
year="2021",
month="Nov",
day="12",
volume="7",
number="4",
pages="e33861",
keywords="virtual conference",
keywords="student-based organization",
keywords="neuroscience conference",
keywords="COVID-19",
keywords="medical education",
keywords="webinars",
keywords="web-based education",
abstract="Background: With the integration of COVID-19 into our lives, the way events are organized has changed. The Cerrahpa?a Neuroscience Days held on May 8-9, 2021, was one of the conferences that was affected. The annual conference of the student-based Cerrahpa?a Neuroscience Society transitioned to the internet for the first time and had the premise of going international. Objective: With this study, we aim to both discuss how a virtual conference is organized and perceived, and where our conference stands within the literature as a completely student-organized event. Methods: The conference was planned in accordance with virtual standards and promoted to primarily medical schools. During the execution, there were no major issues. The feedback was collected via a form developed with Google Forms. Results: Out of 2195 registrations, 299 qualified to receive a certificate. The feedback forms revealed a general satisfaction; the overall quality of the event was rated an average of 4.6 out of 5, and the ratings of various Likert scale--based questions were statistically analyzed. Open-ended questions provided improvement suggestions for future events. Conclusions: The virtual Cerrahpa?a Neuroscience Days was a success in organization and received positive feedback from the participants. We aim to ground future events on this experience. ",
doi="10.2196/33861",
url="https://mededu.jmir.org/2021/4/e33861",
url="http://www.ncbi.nlm.nih.gov/pubmed/34766916"
}


@Article{info:doi/10.2196/34493,
author="Clay, Ieuan
and Angelopoulos, Christian
and Bailey, Lord Anne
and Blocker, Aaron
and Carini, Simona
and Carvajal, Rodrigo
and Drummond, David
and McManus, F. Kimberly
and Oakley-Girvan, Ingrid
and Patel, B. Krupal
and Szepietowski, Phillip
and Goldsack, C. Jennifer",
title="Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices",
journal="J Med Internet Res",
year="2021",
month="Nov",
day="9",
volume="23",
number="11",
pages="e34493",
keywords="digital measures",
keywords="data integration",
keywords="patient centricity",
keywords="utility",
doi="10.2196/34493",
url="https://www.jmir.org/2021/11/e34493",
url="http://www.ncbi.nlm.nih.gov/pubmed/34751656"
}


@Article{info:doi/10.2196/31846,
author="Price, Amy
and Damaraju, Aishini
and Kushalnagar, Poorna
and Brunoe, Summer
and Srivastava, Ujwal
and Debidda, Marcella
and Chu, Larry",
title="Coproduction, Coeducation, and Patient Involvement: Everyone Included Framework for Medical Education Across Age Groups and Cultures",
journal="JMIR Med Educ",
year="2021",
month="Nov",
day="3",
volume="7",
number="4",
pages="e31846",
keywords="medical education",
keywords="coproduction",
keywords="public and patient involvement",
keywords="education",
keywords="patient",
keywords="involvement",
keywords="age",
keywords="demographic",
keywords="model",
keywords="framework",
keywords="culture",
keywords="exploratory",
keywords="engagement",
doi="10.2196/31846",
url="https://mededu.jmir.org/2021/4/e31846",
url="http://www.ncbi.nlm.nih.gov/pubmed/34730539"
}


@Article{info:doi/10.2196/30545,
author="Gilbert, Stephen
and Fenech, Matthew
and Hirsch, Martin
and Upadhyay, Shubhanan
and Biasiucci, Andrea
and Starlinger, Johannes",
title="Algorithm Change Protocols in the Regulation of Adaptive Machine Learning--Based Medical Devices",
journal="J Med Internet Res",
year="2021",
month="Oct",
day="26",
volume="23",
number="10",
pages="e30545",
keywords="artificial intelligence",
keywords="machine learning",
keywords="regulation",
keywords="algorithm change protocol",
keywords="healthcare",
keywords="regulatory framework",
keywords="health care",
doi="10.2196/30545",
url="https://www.jmir.org/2021/10/e30545",
url="http://www.ncbi.nlm.nih.gov/pubmed/34697010"
}


@Article{info:doi/10.2196/29905,
author="Gross, S. Marielle
and Hood, J. Amelia
and Miller Jr, C. Robert",
title="Nonfungible Tokens as a Blockchain Solution to Ethical Challenges for the Secondary Use of Biospecimens: Viewpoint",
journal="JMIR Bioinform Biotech",
year="2021",
month="Oct",
day="22",
volume="2",
number="1",
pages="e29905",
keywords="blockchain",
keywords="biospecimens",
keywords="research ethics",
keywords="nonfungible tokens",
keywords="health platforms",
keywords="HeLa cells",
keywords="patient data",
keywords="deidentification",
keywords="eHealth",
keywords="data security",
keywords="integrity",
doi="10.2196/29905",
url="https://bioinform.jmir.org/2021/1/e29905"
}


@Article{info:doi/10.2196/29218,
author="Oppelaar, C. Martinus
and van den Wijngaart, S. Lara
and Merkus, M. Peter J. F.
and Croonen, A. Ellen
and Hugen, C. Cindy A.
and Brouwer, L. Marianne
and Boehmer, M. Annemie L.
and Roukema, Jolt",
title="It Is Not Just the FEV1 That Matters, but the Personal Goals We Reach Along the Way: Qualitative, Multicenter, Prospective, Observational Study",
journal="J Med Internet Res",
year="2021",
month="Oct",
day="20",
volume="23",
number="10",
pages="e29218",
keywords="eHealth",
keywords="asthma",
keywords="pediatrics",
keywords="telemonitoring",
keywords="lung function tests",
keywords="lung function",
keywords="spirometry",
keywords="home monitoring",
keywords="mHealth",
keywords="app",
keywords="smartphone",
keywords="asthma control",
keywords="child",
keywords="outpatients",
keywords="remote consultations",
keywords="quality improvement",
keywords="patient care management",
keywords="telemetry",
keywords="application",
keywords="FEV1",
keywords="pulmonary care",
abstract="Background: The COVID-19 pandemic has boosted the use of forced expiratory volume in 1 second (FEV1) telemonitoring in pediatric asthma, but a consensus on its most efficient and effective implementation is still lacking. To find answers, it is important to study how such an intervention is perceived, experienced, and used by both patients and health care professionals (HCPs). Objective: The aim of this study was to provide perspectives on how FEV1 home monitoring should be used in pediatric asthma. Methods: This is a qualitative, multicenter, prospective, observational study which included patients with asthma aged 6-16 and HCPs. Primary outcomes were results of 2 surveys that were sent to all participants at study start and after 3-4 months. Secondary outcomes consisted of FEV1 device usage during 4 months after receiving the FEV1 device. Results: A total of 39 participants (26 patients and 13 HCPs) were included in this study. Survey response rates were 97\% (38/39) at the start and 87\% (34/39) at the end of the study. Both patients and HCPs were receptive toward online FEV1 home monitoring and found it contributive to asthma control, self-management, and disease perception. The main concerns were about reliability of the FEV1 device and validity of home-performed lung function maneuvers. FEV1 devices were used with a median frequency of 7.5 (IQR 3.3-25.5) during the 4-month study period. Conclusions: Patients and HCPs are receptive toward online FEV1 home monitoring. Frequency of measurements varied largely among individuals, yet perceived benefits remained similar. This emphasizes that online FEV1 home monitoring strategies should be used as a means to reach individual goals, rather than being a goal on their own. ",
doi="10.2196/29218",
url="https://www.jmir.org/2021/10/e29218",
url="http://www.ncbi.nlm.nih.gov/pubmed/34668868"
}


@Article{info:doi/10.2196/25497,
author="Guni, Ahmad
and Normahani, Pasha
and Davies, Alun
and Jaffer, Usman",
title="Harnessing Machine Learning to Personalize Web-Based Health Care Content",
journal="J Med Internet Res",
year="2021",
month="Oct",
day="19",
volume="23",
number="10",
pages="e25497",
keywords="internet",
keywords="online health information",
keywords="personalized content",
keywords="patient education",
keywords="machine learning",
doi="10.2196/25497",
url="https://www.jmir.org/2021/10/e25497",
url="http://www.ncbi.nlm.nih.gov/pubmed/34665146"
}


@Article{info:doi/10.2196/26251,
author="Jordan, Louanne Chloe
and Sathaananthan, Thillainathan
and Celi, Anthony Leo
and Jones, Linda
and Alagha, Abdulhadi M.",
title="The Use of a Formative Pedagogy Lens to Enhance and Maintain Virtual Supervisory Relationships: Appreciative Inquiry and Critical Review",
journal="JMIR Med Educ",
year="2021",
month="Oct",
day="18",
volume="7",
number="4",
pages="e26251",
keywords="medical education",
keywords="virtual learning",
keywords="formative pedagogy",
keywords="supervisory relationships",
keywords="pedagogy",
keywords="mentors",
keywords="education",
keywords="virtual education",
keywords="teaching",
keywords="online platforms",
keywords="web-based",
abstract="Background: Virtual supervisory relationships provide an infrastructure for flexible learning, global accessibility, and outreach, connecting individuals worldwide. The surge in web-based educational activities in recent years provides an opportunity to understand the attributes of an effective supervisor-student or mentor-student relationship. Objective: The aim of this study is to compare the published literature (through a critical review) with our collective experiences (using small-scale appreciative inquiry [AI]) in an effort to structure and identify the dilemmas and opportunities for virtual supervisory and mentoring relationships, both in terms of stakeholder attributes and skills as well as providing instructional recommendations to enhance virtual learning. Methods: A critical review of the literature was conducted followed by an AI of reflections by the authors. The AI questions were derived from the 4D AI framework. Results: Despite the multitude of differences between face-to-face and web-based supervision and mentoring, four key dilemmas seem to influence the experiences of stakeholders involved in virtual learning: informal discourses and approachability of mentors; effective virtual communication strategies; authenticity, trust, and work ethics; and sense of self and cultural considerations. Conclusions: Virtual mentorship or supervision can be as equally rewarding as an in-person relationship. However, its successful implementation requires active acknowledgment of learners' needs and careful consideration to develop effective and mutually beneficial student-educator relationships. ",
doi="10.2196/26251",
url="https://mededu.jmir.org/2021/4/e26251",
url="http://www.ncbi.nlm.nih.gov/pubmed/34661542"
}


@Article{info:doi/10.2196/27507,
author="Spadaro, Benedetta
and Martin-Key, A. Nayra
and Bahn, Sabine",
title="Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators",
journal="J Med Internet Res",
year="2021",
month="Oct",
day="13",
volume="23",
number="10",
pages="e27507",
keywords="digital implementation",
keywords="digital mental health",
keywords="digital psychiatry",
keywords="digital technology",
keywords="viewpoint",
doi="10.2196/27507",
url="https://www.jmir.org/2021/10/e27507",
url="http://www.ncbi.nlm.nih.gov/pubmed/34643537"
}


@Article{info:doi/10.2196/27301,
author="Albouy-Llaty, Marion
and Martin, Caroline
and Benamouzig, Daniel
and Bothorel, Eric
and Munier, Gilles
and Simonin, Catherine
and Gu{\'e}ant, Jean-Louis
and Rusch, Emmanuel",
title="Positioning Digital Tracing Applications in the Management of the COVID-19 Pandemic in France",
journal="J Med Internet Res",
year="2021",
month="Oct",
day="7",
volume="23",
number="10",
pages="e27301",
keywords="COVID-19 pandemic",
keywords="digital contact tracing applications",
keywords="health inequalities",
keywords="Europe",
keywords="health promotion",
doi="10.2196/27301",
url="https://www.jmir.org/2021/10/e27301",
url="http://www.ncbi.nlm.nih.gov/pubmed/34313588"
}


@Article{info:doi/10.2196/18471,
author="Sarker, Abeed
and Al-Garadi, Ali Mohammed
and Yang, Yuan-Chi
and Choi, Jinho
and Quyyumi, A. Arshed
and Martin, S. Greg",
title="Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts",
journal="JMIR Med Inform",
year="2021",
month="Sep",
day="28",
volume="9",
number="9",
pages="e18471",
keywords="natural language processing",
keywords="text mining",
keywords="patient-centered care",
keywords="evidence-based medicine",
keywords="medical informatics",
doi="10.2196/18471",
url="https://medinform.jmir.org/2021/9/e18471",
url="http://www.ncbi.nlm.nih.gov/pubmed/34581670"
}


@Article{info:doi/10.2196/28766,
author="van Eijk, A. Ruben P.
and Beelen, Anita
and Kruitwagen, T. Esther
and Murray, Deirdre
and Radakovic, Ratko
and Hobson, Esther
and Knox, Liam
and Helleman, Jochem
and Burke, Tom
and Rubio P{\'e}rez, {\'A}ngel Miguel
and Reviers, Evy
and Genge, Angela
and Steyn, J. Frederik
and Ngo, Shyuan
and Eaglesham, John
and Roes, B. Kit C.
and van den Berg, H. Leonard
and Hardiman, Orla
and McDermott, J. Christopher",
title="A Road Map for Remote Digital Health Technology for Motor Neuron Disease",
journal="J Med Internet Res",
year="2021",
month="Sep",
day="22",
volume="23",
number="9",
pages="e28766",
keywords="amyotrophic lateral sclerosis",
keywords="digital health care technology",
keywords="e-health",
doi="10.2196/28766",
url="https://www.jmir.org/2021/9/e28766",
url="http://www.ncbi.nlm.nih.gov/pubmed/34550089"
}


@Article{info:doi/10.2196/27283,
author="Siedlikowski, Sophia
and No{\"e}l, Louis-Philippe
and Moynihan, Anne Stephanie
and Robin, Marc",
title="Chloe for COVID-19: Evolution of an Intelligent Conversational Agent to Address Infodemic Management Needs During the COVID-19 Pandemic",
journal="J Med Internet Res",
year="2021",
month="Sep",
day="21",
volume="23",
number="9",
pages="e27283",
keywords="chatbot",
keywords="COVID-19",
keywords="conversational agents",
keywords="public health",
keywords="artificial intelligence",
keywords="infodemic",
keywords="infodemiology",
keywords="misinformation",
keywords="digital health",
keywords="virtual care",
doi="10.2196/27283",
url="https://www.jmir.org/2021/9/e27283",
url="http://www.ncbi.nlm.nih.gov/pubmed/34375299"
}


@Article{info:doi/10.2196/29511,
author="Commiskey, Patricia
and Armstrong, W. April
and Coker, R. Tumaini
and Dorsey, Ray Earl
and Fortney, C. John
and Gaines, J. Kenneth
and Gibbons, M. Brittany
and Nguyen, Q. Huong
and Singla, R. Daisy
and Szigethy, Eva
and Krupinski, A. Elizabeth",
title="A Blueprint for the Conduct of Large, Multisite Trials in Telemedicine",
journal="J Med Internet Res",
year="2021",
month="Sep",
day="20",
volume="23",
number="9",
pages="e29511",
keywords="telemedicine trials",
keywords="randomized trials",
keywords="challenges",
keywords="multisite",
keywords="mobile phone",
doi="10.2196/29511",
url="https://www.jmir.org/2021/9/e29511",
url="http://www.ncbi.nlm.nih.gov/pubmed/34542417"
}


@Article{info:doi/10.2196/31930,
author="Barkia, Abdelaziz
and Laamrani, Hammou
and Belalia, Abdelmounaim
and Benmamoun, Abderrahman
and Khader, Yousef",
title="Morocco's National Response to the COVID-19 Pandemic: Public Health Challenges and Lessons Learned",
journal="JMIR Public Health Surveill",
year="2021",
month="Sep",
day="17",
volume="7",
number="9",
pages="e31930",
keywords="COVID-19",
keywords="public health",
keywords="challenges",
keywords="prevention",
keywords="control",
keywords="infectious disease",
doi="10.2196/31930",
url="https://publichealth.jmir.org/2021/9/e31930",
url="http://www.ncbi.nlm.nih.gov/pubmed/34388104"
}


@Article{info:doi/10.2196/18307,
author="Zhi, Lihua
and Yin, Pei
and Ren, Jingjing
and Wei, Guoqing
and Zhou, Jun
and Wu, Jun
and Shen, Qun",
title="Running an Internet Hospital in China: Perspective Based on a Case Study",
journal="J Med Internet Res",
year="2021",
month="Sep",
day="16",
volume="23",
number="9",
pages="e18307",
keywords="internet hospitals",
keywords="telemedicine",
keywords="medical service",
keywords="medical procedures",
keywords="operation management",
keywords="network security",
doi="10.2196/18307",
url="https://www.jmir.org/2021/9/e18307",
url="http://www.ncbi.nlm.nih.gov/pubmed/34342267"
}


@Article{info:doi/10.2196/26484,
author="Evans, Yolanda
and Hutchinson, Jeffrey
and Ameenuddin, Nusheen",
title="Opportunity, Challenge, or Both? Managing Adolescent Socioemotional and Mental Health During Web-Based Learning",
journal="JMIR Ment Health",
year="2021",
month="Sep",
day="15",
volume="8",
number="9",
pages="e26484",
keywords="pandemic",
keywords="technology",
keywords="media",
keywords="bullying",
keywords="mental health",
keywords="distance learning",
doi="10.2196/26484",
url="https://mental.jmir.org/2021/9/e26484",
url="http://www.ncbi.nlm.nih.gov/pubmed/34524094"
}


@Article{info:doi/10.2196/24295,
author="Geva, A. Gil
and Ketko, Itay
and Nitecki, Maya
and Simon, Shoham
and Inbar, Barr
and Toledo, Itay
and Shapiro, Michael
and Vaturi, Barak
and Votta, Yoni
and Filler, Daniel
and Yosef, Roey
and Shpitzer, A. Sagi
and Hir, Nabil
and Peri Markovich, Michal
and Shapira, Shachar
and Fink, Noam
and Glasberg, Elon
and Furer, Ariel",
title="Data Empowerment of Decision-Makers in an Era of a Pandemic: Intersection of ``Classic'' and Artificial Intelligence in the Service of Medicine",
journal="J Med Internet Res",
year="2021",
month="Sep",
day="10",
volume="23",
number="9",
pages="e24295",
keywords="COVID-19",
keywords="medical informatics",
keywords="decision-making",
keywords="pandemic",
keywords="data",
keywords="policy",
keywords="validation",
keywords="accuracy",
keywords="data analysis",
abstract="Background: The COVID-19 outbreak required prompt action by health authorities around the world in response to a novel threat. With enormous amounts of information originating in sources with uncertain degree of validation and accuracy, it is essential to provide executive-level decision-makers with the most actionable, pertinent, and updated data analysis to enable them to adapt their strategy swiftly and competently. Objective: We report here the origination of a COVID-19 dedicated response in the Israel Defense Forces with the assembly of an operational Data Center for the Campaign against Coronavirus. Methods: Spearheaded by directors with clinical, operational, and data analytics orientation, a multidisciplinary team utilized existing and newly developed platforms to collect and analyze large amounts of information on an individual level in the context of SARS-CoV-2 contraction and infection. Results: Nearly 300,000 responses to daily questionnaires were recorded and were merged with other data sets to form a unified data lake. By using basic as well as advanced analytic tools ranging from simple aggregation and display of trends to data science application, we provided commanders and clinicians with access to trusted, accurate, and personalized information and tools that were designed to foster operational changes and mitigate the propagation of the pandemic. The developed tools aided in the in the identification of high-risk individuals for severe disease and resulted in a 30\% decline in their attendance to their units. Moreover, the queue for laboratory examination for COVID-19 was optimized using a predictive model and resulted in a high true-positive rate of 20\%, which is more than twice as high as the baseline rate (2.28\%, 95\% CI 1.63\%-3.19\%). Conclusions: In times of ambiguity and uncertainty, along with an unprecedented flux of information, health organizations may find multidisciplinary teams working to provide intelligence from diverse and rich data a key factor in providing executives relevant and actionable support for decision-making. ",
doi="10.2196/24295",
url="https://www.jmir.org/2021/9/e24295",
url="http://www.ncbi.nlm.nih.gov/pubmed/34313589"
}


@Article{info:doi/10.2196/30549,
author="Denis, Fabrice
and Krakowski, Ivan",
title="How Should Oncologists Choose an Electronic Patient-Reported Outcome System for Remote Monitoring of Patients With Cancer?",
journal="J Med Internet Res",
year="2021",
month="Sep",
day="9",
volume="23",
number="9",
pages="e30549",
keywords="ePRO",
keywords="cancer",
keywords="remote monitoring",
keywords="quality",
keywords="effectiveness",
keywords="security",
keywords="digital monitoring",
keywords="digital health",
keywords="cancer patients",
keywords="patients with cancer",
keywords="oncology",
doi="10.2196/30549",
url="https://www.jmir.org/2021/9/e30549",
url="http://www.ncbi.nlm.nih.gov/pubmed/34499046"
}


@Article{info:doi/10.2196/25797,
author="Desveaux, Laura
and Budhwani, Suman
and Stamenova, Vess
and Bhattacharyya, Onil
and Shaw, James
and Bhatia, Sacha R.",
title="Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives",
journal="J Med Internet Res",
year="2021",
month="Sep",
day="3",
volume="23",
number="9",
pages="e25797",
keywords="virtual care",
keywords="primary care",
keywords="embedded research",
keywords="implementation",
keywords="knowledge exchange",
keywords="health policy",
doi="10.2196/25797",
url="https://www.jmir.org/2021/9/e25797",
url="http://www.ncbi.nlm.nih.gov/pubmed/34477560"
}


@Article{info:doi/10.2196/29168,
author="Newman, Julliana
and Liew, Andrew
and Bowles, Jon
and Soady, Kelly
and Inglis, Steven",
title="Podcasts for the Delivery of Medical Education and Remote Learning",
journal="J Med Internet Res",
year="2021",
month="Aug",
day="27",
volume="23",
number="8",
pages="e29168",
keywords="digital",
keywords="hepatitis C virus",
keywords="health care professionals",
keywords="hepatology",
keywords="HIV",
keywords="continuous professional development",
keywords="podcasts",
keywords="remote learning",
keywords="virology",
doi="10.2196/29168",
url="https://www.jmir.org/2021/8/e29168",
url="http://www.ncbi.nlm.nih.gov/pubmed/34448719"
}


@Article{info:doi/10.2196/25907,
author="Brasier, Noe
and Osthoff, Michael
and De Ieso, Fiorangelo
and Eckstein, Jens",
title="Next-Generation Digital Biomarkers for Tuberculosis and Antibiotic Stewardship: Perspective on Novel Molecular Digital Biomarkers in Sweat, Saliva, and Exhaled Breath",
journal="J Med Internet Res",
year="2021",
month="Aug",
day="19",
volume="23",
number="8",
pages="e25907",
keywords="digital biomarkers",
keywords="active tuberculosis",
keywords="drug resistance",
keywords="wearable",
keywords="smart biosensors",
keywords="iSudorology",
keywords="infectious diseases",
doi="10.2196/25907",
url="https://www.jmir.org/2021/8/e25907",
url="http://www.ncbi.nlm.nih.gov/pubmed/34420925"
}


@Article{info:doi/10.2196/25425,
author="Mackert, Michael
and Mandell, Dorothy
and Donovan, Erin
and Walker, Lorraine
and Henson-Garc{\'i}a, Mike
and Bouchacourt, Lindsay",
title="Mobile Apps as Audience-Centered Health Communication Platforms",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Aug",
day="17",
volume="9",
number="8",
pages="e25425",
keywords="health communication",
keywords="mHealth",
keywords="mobile apps",
keywords="mobile health",
keywords="prenatal health",
keywords="pregnancy",
keywords="audience-centered",
doi="10.2196/25425",
url="https://mhealth.jmir.org/2021/8/e25425",
url="http://www.ncbi.nlm.nih.gov/pubmed/34402797"
}


@Article{info:doi/10.2196/29759,
author="Chaney, Cunard Sarah
and Mechael, Patricia
and Thu, Myo Nay
and Diallo, S. Mamadou
and Gachen, Carine",
title="Every Child on the Map: A Theory of Change Framework for Improving Childhood Immunization Coverage and Equity Using Geospatial Data and Technologies",
journal="J Med Internet Res",
year="2021",
month="Aug",
day="3",
volume="23",
number="8",
pages="e29759",
keywords="geospatial data",
keywords="immunization",
keywords="health information systems",
keywords="service delivery",
keywords="equity mapping",
keywords="theory",
keywords="framework",
keywords="children",
keywords="vaccine",
keywords="equity",
keywords="geospatial",
keywords="data",
keywords="outcome",
keywords="coverage",
keywords="low- and middle-income",
keywords="LMIC",
doi="10.2196/29759",
url="https://www.jmir.org/2021/8/e29759",
url="http://www.ncbi.nlm.nih.gov/pubmed/34342584"
}


@Article{info:doi/10.2196/27682,
author="Shah, K. Megha
and Gibbs, Christina Ashley
and Ali, K. Mohammed
and Narayan, Venkat K. M.
and Islam, Nadia",
title="Overcoming the Digital Divide in the Post--COVID-19 ``Reset'': Enhancing Group Virtual Visits with Community Health Workers",
journal="J Med Internet Res",
year="2021",
month="Jul",
day="8",
volume="23",
number="7",
pages="e27682",
keywords="community health workers",
keywords="COVID-19",
keywords="diabetes mellitus",
keywords="eHealth",
keywords="elderly",
keywords="health equity",
keywords="telemedicine",
keywords="virtual",
keywords="vulnerable populations",
doi="10.2196/27682",
url="https://www.jmir.org/2021/7/e27682",
url="http://www.ncbi.nlm.nih.gov/pubmed/34152995"
}


@Article{info:doi/10.2196/25849,
author="Lam, Kyle
and Purkayastha, Sanjay
and Kinross, M. James",
title="The Ethical Digital Surgeon",
journal="J Med Internet Res",
year="2021",
month="Jul",
day="5",
volume="23",
number="7",
pages="e25849",
keywords="digital surgery",
keywords="ethics",
keywords="data governance",
keywords="robotics",
keywords="digital surgeons",
keywords="surgery",
keywords="digital health care",
keywords="smartphone app",
doi="10.2196/25849",
url="https://www.jmir.org/2021/7/e25849",
url="http://www.ncbi.nlm.nih.gov/pubmed/34453502"
}


@Article{info:doi/10.2196/26694,
author="Persson, Johanna
and Rydenf{\"a}lt, Christofer",
title="Why Are Digital Health Care Systems Still Poorly Designed, and Why Is Health Care Practice Not Asking for More? Three Paths Toward a Sustainable Digital Work Environment",
journal="J Med Internet Res",
year="2021",
month="Jun",
day="22",
volume="23",
number="6",
pages="e26694",
keywords="digital systems",
keywords="electronic health records",
keywords="digital work environment",
keywords="ergonomics",
keywords="usability",
keywords="human-centered design",
doi="10.2196/26694",
url="https://www.jmir.org/2021/6/e26694",
url="http://www.ncbi.nlm.nih.gov/pubmed/34156336"
}


@Article{info:doi/10.2196/25946,
author="Wang, Zhengfei
and Wang, Lai
and Xiao, Fu'an
and Chen, Qingsong
and Lu, Liming
and Hong, Jiaming",
title="A Traditional Chinese Medicine Traceability System Based on Lightweight Blockchain",
journal="J Med Internet Res",
year="2021",
month="Jun",
day="21",
volume="23",
number="6",
pages="e25946",
keywords="blockchain",
keywords="traditional Chinese medicine",
keywords="TCM",
keywords="traceability system",
keywords="fake drugs",
keywords="IPFS",
keywords="fraud",
keywords="traceability",
abstract="Background: Recently, the problem of traditional Chinese medicine (TCM) safety has attracted attention worldwide. To prevent the spread of counterfeit drugs, it is necessary to establish a drug traceability system. A traditional drug traceability system can record the whole circulation process of drugs, from planting, production, processing, and warehousing to use by hospitals and patients. Once counterfeit drugs are found, they can be traced back to the source. However, traditional drug traceability systems have some drawbacks, such as failure to prevent tampering and facilitation of sensitive disclosure. Blockchain (including Bitcoin and Ethernet Square) is an effective technology to address the problems of traditional drug traceability systems. However, some risks impact the reliability of blockchain, such as information explosion, sensitive information leakage, and poor scalability. Objective: To avoid the risks associated with the application of blockchain, we propose a lightweight block chain framework. Methods: In this framework, both horizontal and vertical segmentations are performed when designing the blocks, and effective strategies are provided for both segmentations. For horizontal segmentation operations, the header and body of the blockchain are separated and stored in the blockchain, and the body is stored in the InterPlanetary File System. For vertical segmentation operations, the blockchain is cut off according to time or size. For the addition of new blocks, miners only need to copy the latest part of the blockchain and append the tail and vertical segmentation of the block through the consensus mechanism. Results: Our framework could greatly reduce the size of the blockchain and improve the verification efficiency. Conclusions: Experimental results have shown that the efficiency improves compared with ethernet when a new block is added to the blockchain and a search is conducted. ",
doi="10.2196/25946",
url="https://www.jmir.org/2021/6/e25946",
url="http://www.ncbi.nlm.nih.gov/pubmed/34152279"
}


@Article{info:doi/10.2196/23637,
author="Turkdogan, Sena
and Schnitman, Gabriel
and Wang, Tianci
and Gotlieb, Raphael
and How, Jeffrey
and Gotlieb, Henri Walter",
title="Development of a Digital Patient Education Tool for Patients With Cancer During the COVID-19 Pandemic",
journal="JMIR Cancer",
year="2021",
month="Jun",
day="21",
volume="7",
number="2",
pages="e23637",
keywords="digital health",
keywords="eHealth",
keywords="patient education",
keywords="COVID-19",
abstract="Background: Due to the COVID-19 pandemic, a large portion of oncology consultations have been conducted remotely. The maladaptation or compromise of care could negatively impact oncology patients and their disease management. Objective: We aimed to describe the development and implementation process of a web-based, animated patient education tool that supports oncology patients remotely in the context of fewer in-person interactions with health care providers. Methods: The platform created presents multilingual oncology care instructions. Animations concerning cancer care and mental health during the COVID-19 pandemic as well as immunotherapy and chemotherapy guides were the major areas of focus and represented 6 final produced video guides. Results: The videos were watched 1244 times in a period of 6 months. The most watched animation was the COVID-19 \& Oncology guide (viewed 565 times), followed by the video concerning general treatment orientations (viewed 249 times) and the video titled ``Chemotherapy'' (viewed 205 times). Although viewers were equally distributed among the age groups, most were aged 25 to 34 years (342/1244, 27.5\%) and were females (745/1244, 59.9\%). Conclusions: The implementation of a patient education platform can be designed to prepare patients and their caregivers for their treatment and thus improve outcomes and satisfaction by using a methodical and collaborative approach. Multimedia tools allow a portion of a patient's care to occur in a home setting, thereby freeing them from the need for hospital resources. ",
doi="10.2196/23637",
url="https://cancer.jmir.org/2021/2/e23637",
url="http://www.ncbi.nlm.nih.gov/pubmed/34101611"
}


@Article{info:doi/10.2196/26004,
author="Ferrar, Jennifer
and Griffith, J. Gareth
and Skirrow, Caroline
and Cashdollar, Nathan
and Taptiklis, Nick
and Dobson, James
and Cree, Fiona
and Cormack, K. Francesca
and Barnett, H. Jennifer
and Munaf{\`o}, R. Marcus",
title="Developing Digital Tools for Remote Clinical Research: How to Evaluate the Validity and Practicality of Active Assessments in Field Settings",
journal="J Med Internet Res",
year="2021",
month="Jun",
day="18",
volume="23",
number="6",
pages="e26004",
keywords="digital assessment",
keywords="remote research",
keywords="measurement validity",
keywords="clinical outcomes",
keywords="ecological momentary assessment",
keywords="mobile phone",
doi="10.2196/26004",
url="https://www.jmir.org/2021/6/e26004",
url="http://www.ncbi.nlm.nih.gov/pubmed/34142972"
}


@Article{info:doi/10.2196/26267,
author="Bashier, Haitham
and Ikram, Aamer
and Khan, Ali Mumtaz
and Baig, Mirza
and Al Gunaid, Magid
and Al Nsour, Mohannad
and Khader, Yousef",
title="The Anticipated Future of Public Health Services Post COVID-19: Viewpoint",
journal="JMIR Public Health Surveill",
year="2021",
month="Jun",
day="18",
volume="7",
number="6",
pages="e26267",
keywords="COVID-19",
keywords="public health",
keywords="health system",
keywords="health services",
doi="10.2196/26267",
url="https://publichealth.jmir.org/2021/6/e26267",
url="http://www.ncbi.nlm.nih.gov/pubmed/33592576"
}


@Article{info:doi/10.2196/17137,
author="An, Ning
and Mattison, John
and Chen, Xinyu
and Alterovitz, Gil",
title="Team Science in Precision Medicine: Study of Coleadership and Coauthorship Across Health Organizations",
journal="J Med Internet Res",
year="2021",
month="Jun",
day="14",
volume="23",
number="6",
pages="e17137",
keywords="precision medicine",
keywords="team science",
abstract="Background: Interdisciplinary collaborations bring lots of benefits to researchers in multiple areas, including precision medicine. Objective: This viewpoint aims at studying how cross-institution team science would affect the development of precision medicine. Methods: Publications of organizations on the eHealth Catalogue of Activities were collected in 2015 and 2017. The significance of the correlation between coleadership and coauthorship among different organizations was calculated using the Pearson chi-square test of independence. Other nonparametric tests examined whether organizations with coleaders publish more and better papers than organizations without coleaders. Results: A total of 374 publications from 69 organizations were analyzed in 2015, and 7064 papers from 87 organizations were analyzed in 2017. Organizations with coleadership published more papers (P<.001, 2015 and 2017), which received higher citations (Z=--13.547, P<.001, 2017), compared to those without coleadership. Organizations with coleaders tended to publish papers together (P<.001, 2015 and 2017). Conclusions: Our findings suggest that organizations in the field of precision medicine could greatly benefit from institutional-level team science. As a result, stronger collaboration is recommended. ",
doi="10.2196/17137",
url="https://www.jmir.org/2021/6/e17137",
url="http://www.ncbi.nlm.nih.gov/pubmed/34125070"
}


@Article{info:doi/10.2196/27105,
author="Lau, Nancy
and O'Daffer, Alison
and Yi-Frazier, Joyce
and Rosenberg, R. Abby",
title="Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps",
journal="J Med Internet Res",
year="2021",
month="Jun",
day="7",
volume="23",
number="6",
pages="e27105",
keywords="telemedicine",
keywords="smartphone",
keywords="mobile phones",
keywords="mHealth",
keywords="mobile apps",
keywords="health services",
doi="10.2196/27105",
url="https://www.jmir.org/2021/6/e27105",
url="http://www.ncbi.nlm.nih.gov/pubmed/34096868"
}


@Article{info:doi/10.2196/24601,
author="Dang, Ha Thu
and Nguyen, Anh Tuan
and Hoang Van, Minh
and Santin, Olinda
and Tran, Thi Oanh Mai
and Schofield, Penelope",
title="Patient-Centered Care: Transforming the Health Care System in Vietnam With Support of Digital Health Technology",
journal="J Med Internet Res",
year="2021",
month="Jun",
day="4",
volume="23",
number="6",
pages="e24601",
keywords="building blocks",
keywords="digital health",
keywords="eHealth",
keywords="patient-centered care",
keywords="telemedicine",
keywords="Vietnam",
abstract="Background: Over the recent decades, Vietnam has attained remarkable achievements in all areas of health care. However, shortcomings including health disparities persist particularly with a rapidly aging population. This has resulted in a shift in the disease burden from communicable to noncommunicable diseases such as dementia, cancer, and diabetes. These medical conditions require long-term care, which causes an accelerating crisis for the health sector and society. The current health care system in Vietnam is unlikely to cope with these challenges. Objective: The aim of this paper was to explore the opportunities, challenges, and necessary conditions for Vietnam in transforming toward a patient-centered care model to produce better health for people and reduce health care costs. Methods: We examine the applicability of a personalized and integrated Bespoke Health Care System (BHS) for Vietnam using a strength, weakness, opportunity, and threat analysis and examining the successes or failures of digital health care innovations in Vietnam. We then make suggestions for successful adoption of the BHS model in Vietnam. Results: The BHS model of patient-centered care empowers patients to become active participants in their own health care. Vietnam's current policy, social, technological, and economic environment favors the transition of its health care system toward the BHS model. Nevertheless, the country is in an early stage of health care digitalization. The legal and regulatory system to protect patient privacy and information security is still lacking. The readiness to implement electronic medical records, a core element of the BHS, varies across health providers and clinical practices. The scarcity of empirical evidence and evaluation regarding the effectiveness and sustainability of digital health initiatives is an obstacle to the Vietnamese government in policymaking, development, and implementation of health care digitalization. Conclusions: Implementing a personalized and integrated health care system may help Vietnam to address health care needs, reduce pressure on the health care system and society, improve health care delivery, and promote health equity. However, in order to adopt the patient-centered care system and digitalized health care, a whole-system approach in transformation and operation with a co-design in the whole span of a digital health initiative developing process are necessary. ",
doi="10.2196/24601",
url="https://www.jmir.org/2021/6/e24601",
url="http://www.ncbi.nlm.nih.gov/pubmed/34085939"
}


@Article{info:doi/10.2196/25281,
author="Paton, Chris
and Kushniruk, W. Andre
and Borycki, M. Elizabeth
and English, Mike
and Warren, Jim",
title="Improving the Usability and Safety of Digital Health Systems: The Role of Predictive Human-Computer Interaction Modeling",
journal="J Med Internet Res",
year="2021",
month="May",
day="27",
volume="23",
number="5",
pages="e25281",
keywords="digital health",
keywords="human-centered design",
keywords="usability",
keywords="human-computer interaction",
keywords="predictive modeling",
doi="10.2196/25281",
url="https://www.jmir.org/2021/5/e25281",
url="http://www.ncbi.nlm.nih.gov/pubmed/34042590"
}


@Article{info:doi/10.2196/22959,
author="Jadczyk, Tomasz
and Wojakowski, Wojciech
and Tendera, Michal
and Henry, D. Timothy
and Egnaczyk, Gregory
and Shreenivas, Satya",
title="Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology",
journal="J Med Internet Res",
year="2021",
month="May",
day="25",
volume="23",
number="5",
pages="e22959",
keywords="artificial intelligence",
keywords="conversational agent",
keywords="COVID-19",
keywords="virtual care",
keywords="voice assistant",
keywords="voice chatbot",
doi="10.2196/22959",
url="https://www.jmir.org/2021/5/e22959",
url="http://www.ncbi.nlm.nih.gov/pubmed/33999834"
}


@Article{info:doi/10.2196/28164,
author="Kleinert, Stefan
and Bartz-Bazzanella, Peter
and von der Decken, Cay
and Knitza, Johannes
and Witte, Torsten
and Fekete, P. S{\'a}ndor
and Konitzny, Matthias
and Zink, Alexander
and Gauler, Georg
and Wurth, Patrick
and Aries, Peer
and Karberg, Kirsten
and Kuhn, Christoph
and Schuch, Florian
and Sp{\"a}thling-Mestekemper, Susanna
and Vorbr{\"u}ggen, Wolfgang
and Englbrecht, Matthias
and Welcker, Martin
and ",
title="A Real-World Rheumatology Registry and Research Consortium: The German RheumaDatenRhePort (RHADAR) Registry",
journal="J Med Internet Res",
year="2021",
month="May",
day="20",
volume="23",
number="5",
pages="e28164",
keywords="registry",
keywords="rheumatology",
keywords="real-world data",
keywords="symptom checker",
keywords="patient-reported outcomes",
doi="10.2196/28164",
url="https://www.jmir.org/2021/5/e28164",
url="http://www.ncbi.nlm.nih.gov/pubmed/34014170"
}


@Article{info:doi/10.2196/26933,
author="Himelein-Wachowiak, McKenzie
and Giorgi, Salvatore
and Devoto, Amanda
and Rahman, Muhammad
and Ungar, Lyle
and Schwartz, Andrew H.
and Epstein, H. David
and Leggio, Lorenzo
and Curtis, Brenda",
title="Bots and Misinformation Spread on Social Media: Implications for COVID-19",
journal="J Med Internet Res",
year="2021",
month="May",
day="20",
volume="23",
number="5",
pages="e26933",
keywords="COVID-19",
keywords="coronavirus",
keywords="social media",
keywords="bots",
keywords="infodemiology",
keywords="infoveillance",
keywords="social listening",
keywords="infodemic",
keywords="spambots",
keywords="misinformation",
keywords="disinformation",
keywords="fake news",
keywords="online communities",
keywords="Twitter",
keywords="public health",
doi="10.2196/26933",
url="https://www.jmir.org/2021/5/e26933",
url="http://www.ncbi.nlm.nih.gov/pubmed/33882014"
}


@Article{info:doi/10.2196/27446,
author="Dimitri, Paul
and Fernandez-Luque, Luis
and Banerjee, Indraneel
and Bergad{\'a}, Ignacio
and Calliari, Eduardo Luis
and Dahlgren, Jovanna
and de Arriba, Antonio
and Lapatto, Risto
and Reinehr, Thomas
and Senniappan, Senthil
and Thomas-Teinturier, C{\'e}cile
and Tsai, Meng-Che
and Anuar Zaini, Azriyanti
and Bagha, Merat
and Koledova, Ekaterina",
title="An eHealth Framework for Managing Pediatric Growth Disorders and Growth Hormone Therapy",
journal="J Med Internet Res",
year="2021",
month="May",
day="20",
volume="23",
number="5",
pages="e27446",
keywords="eHealth tools",
keywords="pediatric growth disorders",
keywords="referral and diagnosis",
keywords="growth hormone therapy",
keywords="adherence to treatment",
keywords="workshop discussions",
keywords="eHealth",
keywords="pediatrics",
keywords="growth failure",
keywords="growth hormone",
abstract="Background: The use of technology to support health and health care has grown rapidly in the last decade across all ages and medical specialties. Newly developed eHealth tools are being implemented in long-term management of growth failure in children, a low prevalence pediatric endocrine disorder. Objective: Our objective was to create a framework that can guide future implementation and research on the use of eHealth tools to support patients with growth disorders who require growth hormone therapy. Methods: A total of 12 pediatric endocrinologists with experience in eHealth, from a wide geographical distribution, participated in a series of online discussions. We summarized the discussions of 3 workshops, conducted during 2020, on the use of eHealth in the management of growth disorders, which were structured to provide insights on existing challenges, opportunities, and solutions for the implementation of eHealth tools across the patient journey, from referral to the end of pediatric therapy. Results: A total of 815 responses were collected from 2 questionnaire-based activities covering referral and diagnosis of growth disorders, and subsequent growth hormone therapy stages of the patient pathway, relating to physicians, nurses, and patients, parents, or caregivers. We mapped the feedback from those discussions into a framework that we developed as a guide to integration of eHealth tools across the patient journey. Responses focused on improved clinical management, such as growth monitoring and automation of referral for early detection of growth disorders, which could trigger rapid evaluation and diagnosis. Patient support included the use of eHealth for enhanced patient and caregiver communication, better access to educational opportunities, and enhanced medical and psychological support during growth hormone therapy management. Given the potential availability of patient data from connected devices, artificial intelligence can be used to predict adherence and personalize patient support. Providing evidence to demonstrate the value and utility of eHealth tools will ensure that these tools are widely accepted, trusted, and used in clinical practice, but implementation issues (eg, adaptation to specific clinical settings) must be addressed. Conclusions: The use of eHealth in growth hormone therapy has major potential to improve the management of growth disorders along the patient journey. Combining objective clinical information and patient adherence data is vital in supporting decision-making and the development of new eHealth tools. Involvement of clinicians and patients in the process of integrating such technologies into clinical practice is essential for implementation and developing evidence that eHealth tools can provide value across the patient pathway. ",
doi="10.2196/27446",
url="https://www.jmir.org/2021/5/e27446",
url="http://www.ncbi.nlm.nih.gov/pubmed/34014174"
}


@Article{info:doi/10.2196/28845,
author="Halabi, Reem
and Smith, Geoffrey
and Sylwestrzak, Marc
and Clay, Brian
and Longhurst, A. Christopher
and Lander, Lina",
title="The Impact of Inpatient Telemedicine on Personal Protective Equipment Savings During the COVID-19 Pandemic: Cross-sectional Study",
journal="J Med Internet Res",
year="2021",
month="May",
day="19",
volume="23",
number="5",
pages="e28845",
keywords="inpatient telemedicine",
keywords="bedside iPad",
keywords="video visits",
keywords="personal protective equipment",
keywords="COVID-19",
keywords="virtual visits",
keywords="pandemic",
keywords="telehealth",
keywords="telemedicine",
keywords="digital health",
doi="10.2196/28845",
url="https://www.jmir.org/2021/5/e28845",
url="http://www.ncbi.nlm.nih.gov/pubmed/33945494"
}


@Article{info:doi/10.2196/26618,
author="Cresswell, Kathrin
and Tahir, Ahsen
and Sheikh, Zakariya
and Hussain, Zain
and Dom{\'i}nguez Hern{\'a}ndez, Andr{\'e}s
and Harrison, Ewen
and Williams, Robin
and Sheikh, Aziz
and Hussain, Amir",
title="Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence--Enabled Social Media Analysis",
journal="J Med Internet Res",
year="2021",
month="May",
day="17",
volume="23",
number="5",
pages="e26618",
keywords="artificial intelligence",
keywords="sentiment analysis",
keywords="COVID-19",
keywords="contact tracing",
keywords="social media",
keywords="perception",
keywords="app",
keywords="exploratory",
keywords="suitability",
keywords="AI",
keywords="Facebook",
keywords="Twitter",
keywords="United Kingdom",
keywords="sentiment",
keywords="attitude",
keywords="infodemiology",
keywords="infoveillance",
abstract="Background: The emergence of SARS-CoV-2 in late 2019 and its subsequent spread worldwide continues to be a global health crisis. Many governments consider contact tracing of citizens through apps installed on mobile phones as a key mechanism to contain the spread of SARS-CoV-2. Objective: In this study, we sought to explore the suitability of artificial intelligence (AI)--enabled social media analyses using Facebook and Twitter to understand public perceptions of COVID-19 contact tracing apps in the United Kingdom. Methods: We extracted and analyzed over 10,000 relevant social media posts across an 8-month period, from March 1 to October 31, 2020. We used an initial filter with COVID-19--related keywords, which were predefined as part of an open Twitter-based COVID-19 dataset. We then applied a second filter using contract tracing app--related keywords and a geographical filter. We developed and utilized a hybrid, rule-based ensemble model, combining state-of-the-art lexicon rule-based and deep learning--based approaches. Results: Overall, we observed 76\% positive and 12\% negative sentiments, with the majority of negative sentiments reported in the North of England. These sentiments varied over time, likely influenced by ongoing public debates around implementing app-based contact tracing by using a centralized model where data would be shared with the health service, compared with decentralized contact-tracing technology. Conclusions: Variations in sentiments corroborate with ongoing debates surrounding the information governance of health-related information. AI-enabled social media analysis of public attitudes in health care can help facilitate the implementation of effective public health campaigns. ",
doi="10.2196/26618",
url="https://www.jmir.org/2021/5/e26618",
url="http://www.ncbi.nlm.nih.gov/pubmed/33939622"
}


@Article{info:doi/10.2196/25077,
author="Acquaviva, D. Kimberly",
title="Establishing and Facilitating Large-Scale Manuscript Collaborations via Social Media: Novel Method and Tools for Replication",
journal="J Med Internet Res",
year="2021",
month="May",
day="17",
volume="23",
number="5",
pages="e25077",
keywords="social media",
keywords="crowdsourcing",
keywords="collaboration",
keywords="health professions",
keywords="medicine",
keywords="scholarship",
keywords="literature",
keywords="research",
abstract="Background: Authorship teams in the health professions are typically composed of scholars who are acquainted with one another before a manuscript is written. Even if a scholar has identified a diverse group of collaborators outside their usual network, writing an article with a large number of co-authors poses significant logistical challenges. Objective: This paper describes a novel method for establishing and facilitating large-scale manuscript collaborations via social media. Methods: On September 11, 2020, I used the social media platform Twitter to invite people to collaborate on an article I had drafted. Anyone who wanted to collaborate was welcome, regardless of discipline, specialty, title, country of residence, or degree completion. During the 25 days that followed, I used Google Docs, Google Sheets, and Google Forms to manage all aspects of the collaboration. Results: The collaboration resulted in the completion of 2 manuscripts in a 25-day period. The International Council of Medical Journal Editors authorship criteria were met by 40 collaborators for the first article (``Documenting Social Media Engagement as Scholarship: A New Model for Assessing Academic Accomplishment for the Health Professions'') and 35 collaborators for the second article (``The Benefits of Using Social Media as a Health Professional in Academia''). The authorship teams for both articles were notably diverse, with 17\%-18\% (7/40 and 6/35, respectively) of authors identifying as a person of color and/or underrepresented minority, 37\%-38\% (15/40 and 13/35, respectively) identifying as LGBTQ+ (lesbian, gay, bisexual, transgender, gender non-conforming, queer and/or questioning), 73\%-74\% (29/40 and 26/35, respectively) using she/her pronouns, and 20\%-23\% (9/40 and 7/35, respectively) identifying as a person with a disability. Conclusions: Scholars in the health professions can use this paper in conjunction with the tools provided to replicate this process in carrying out their own large-scale manuscript collaborations. ",
doi="10.2196/25077",
url="https://www.jmir.org/2021/5/e25077",
url="http://www.ncbi.nlm.nih.gov/pubmed/33999002"
}


@Article{info:doi/10.2196/22911,
author="Groenendaal, Willemijn
and Lee, Seulki
and van Hoof, Chris",
title="Wearable Bioimpedance Monitoring: Viewpoint for Application in Chronic Conditions",
journal="JMIR Biomed Eng",
year="2021",
month="May",
day="11",
volume="6",
number="2",
pages="e22911",
keywords="wearable monitoring",
keywords="bioimpedance",
keywords="impedance pneumography",
keywords="impedance cardiography",
keywords="body composition",
keywords="imaging",
doi="10.2196/22911",
url="https://biomedeng.jmir.org/2021/2/e22911"
}


@Article{info:doi/10.2196/24294,
author="Lo, Wei-Cheng
and Wang, Fu-Chung
and Lin, Li-Yin
and Jyan, Hong-Wei
and Wu, Hsuan-Chien
and Huang, Yao-Liang
and Parng, I-Ming
and Chiou, Hung-Yi",
title="Enhancing Data Linkage to Break the Chain of COVID-19 Spread: The Taiwan Experience",
journal="J Med Internet Res",
year="2021",
month="May",
day="7",
volume="23",
number="5",
pages="e24294",
keywords="COVID-19",
keywords="data linkage",
keywords="digital health",
keywords="digital technology",
keywords="infectious disease",
keywords="management",
keywords="National Health Insurance System",
keywords="prevention",
keywords="spread",
keywords="Taiwan",
doi="10.2196/24294",
url="https://www.jmir.org/2021/5/e24294",
url="http://www.ncbi.nlm.nih.gov/pubmed/33882019"
}


@Article{info:doi/10.2196/27412,
author="Abu El Sood, Hanaa
and Abu Kamer, Ali Shimaa
and Kamel, Reham
and Magdy, Hesham
and Osman, S. Fatma
and Fahim, Manal
and Mohsen, Amira
and AbdelFatah, Mohamad
and Hassany, Mohamed
and Afifi, Salma
and Eid, Alaa",
title="The Impact of Implementing the Egypt Pandemic Preparedness Plan for Acute Respiratory Infections in Combating the Early Stage of the COVID-19 Pandemic, February-July 2020: Viewpoint",
journal="JMIR Public Health Surveill",
year="2021",
month="May",
day="7",
volume="7",
number="5",
pages="e27412",
keywords="pandemic preparedness",
keywords="Egypt",
keywords="ARI",
keywords="epidemic mitigation",
keywords="COVID-19",
doi="10.2196/27412",
url="https://publichealth.jmir.org/2021/5/e27412",
url="http://www.ncbi.nlm.nih.gov/pubmed/33830932"
}


@Article{info:doi/10.2196/21069,
author="Ferreira, Ana
and Cruz-Correia, Ricardo",
title="COVID-19 and Cybersecurity: Finally, an Opportunity to Disrupt?",
journal="JMIRx Med",
year="2021",
month="May",
day="6",
volume="2",
number="2",
pages="e21069",
keywords="COVID-19",
keywords="cybersecurity",
keywords="challenges and disruption",
keywords="data protection",
keywords="privacy",
keywords="health data",
doi="10.2196/21069",
url="https://xmed.jmir.org/2021/2/e21069",
url="http://www.ncbi.nlm.nih.gov/pubmed/34032816"
}


@Article{info:doi/10.2196/21864,
author="Cosco, D. Theodore
and Fortuna, Karen
and Wister, Andrew
and Riadi, Indira
and Wagner, Kevin
and Sixsmith, Andrew",
title="COVID-19, Social Isolation, and Mental Health Among Older Adults: A Digital Catch-22",
journal="J Med Internet Res",
year="2021",
month="May",
day="6",
volume="23",
number="5",
pages="e21864",
keywords="social isolation",
keywords="mental health",
keywords="COVID-19",
keywords="technology",
keywords="older adult",
keywords="psychology",
keywords="digital health",
doi="10.2196/21864",
url="https://www.jmir.org/2021/5/e21864",
url="http://www.ncbi.nlm.nih.gov/pubmed/33891557"
}


@Article{info:doi/10.2196/25916,
author="Logan, E. Deirdre
and Simons, E. Laura
and Caruso, J. Thomas
and Gold, I. Jeffrey
and Greenleaf, Walter
and Griffin, Anya
and King, D. Christopher
and Menendez, Maria
and Olbrecht, A. Vanessa
and Rodriguez, Samuel
and Silvia, Megan
and Stinson, N. Jennifer
and Wang, Ellen
and Williams, E. Sara
and Wilson, Luke",
title="Leveraging Virtual Reality and Augmented Reality to Combat Chronic Pain in Youth: Position Paper From the Interdisciplinary Network on Virtual and Augmented Technologies for Pain Management",
journal="J Med Internet Res",
year="2021",
month="Apr",
day="26",
volume="23",
number="4",
pages="e25916",
keywords="virtual reality",
keywords="pediatric",
keywords="chronic pain",
abstract="Background: Virtual reality (VR) and augmented reality (AR) interventions are emerging as promising tools in the treatment of pediatric chronic pain conditions. However, in this young field, there is little consensus to guide the process of engaging in the development and evaluation of targeted VR-based interventions. Objective: The INOVATE-Pain (Interdisciplinary Network on Virtual and Augmented Technologies for Pain management) consortium aims to advance the field of VR for pediatric chronic pain rehabilitation by providing guidance for best practices in the design, evaluation, and dissemination of VR-based interventions targeting this population. Methods: An interdisciplinary meeting of 16 academics, clinicians, industry partners, and philanthropy partners was held in January 2020. Results: Reviewing the state of the field, the consortium identified important directions for research-driven innovation in VR and AR clinical care, highlighted key opportunities and challenges facing the field, and established a consensus on best methodological practices to adopt in future efforts to advance the research and practice of VR and AR in pediatric pain. The consortium also identified important next steps to undertake to continue to advance the work in this promising new area of digital health pain interventions. Conclusions: To realize the promise of this realm of innovation, key ingredients for success include productive partnerships among industry, academic, and clinical stakeholders; a uniform set of outcome domains and measures for standardized evaluation; and widespread access to the latest opportunities, tools, and resources. The INOVATE-Pain collaborative hopes to promote the creation, rigorous yet efficient evaluation, and dissemination of innovative VR-based interventions to reduce pain and improve quality of life for children. ",
doi="10.2196/25916",
url="https://www.jmir.org/2021/4/e25916",
url="http://www.ncbi.nlm.nih.gov/pubmed/33667177"
}


@Article{info:doi/10.2196/24179,
author="Steinkamp, Jackson
and Kantrowitz, Jacob
and Sharma, Abhinav
and Bala, Wasif",
title="Beyond Notes: Why It Is Time to Abandon an Outdated Documentation Paradigm",
journal="J Med Internet Res",
year="2021",
month="Apr",
day="20",
volume="23",
number="4",
pages="e24179",
keywords="electronic medical records",
keywords="health informatics",
keywords="information chaos",
keywords="medical documentation",
keywords="clinicians",
keywords="medical notes",
keywords="electronic medical notes",
keywords="medical team",
doi="10.2196/24179",
url="https://www.jmir.org/2021/4/e24179",
url="http://www.ncbi.nlm.nih.gov/pubmed/33877053"
}


@Article{info:doi/10.2196/23635,
author="Li, Yaning
and Ye, Hongqiang
and Ye, Fan
and Liu, Yunsong
and Lv, Longwei
and Zhang, Ping
and Zhang, Xiao
and Zhou, Yongsheng",
title="The Current Situation and Future Prospects of Simulators in Dental Education",
journal="J Med Internet Res",
year="2021",
month="Apr",
day="8",
volume="23",
number="4",
pages="e23635",
keywords="dental simulator",
keywords="dental education",
keywords="virtual reality",
doi="10.2196/23635",
url="https://www.jmir.org/2021/4/e23635",
url="http://www.ncbi.nlm.nih.gov/pubmed/33830059"
}


@Article{info:doi/10.2196/21726,
author="Davies, R. Alisha
and Honeyman, Matthew
and Gann, Bob",
title="Addressing the Digital Inverse Care Law in the Time of COVID-19: Potential for Digital Technology to Exacerbate or Mitigate Health Inequalities",
journal="J Med Internet Res",
year="2021",
month="Apr",
day="7",
volume="23",
number="4",
pages="e21726",
keywords="COVID-19",
keywords="digital divide",
keywords="digital exclusion",
keywords="digital health",
keywords="health inequality",
keywords="population health",
doi="10.2196/21726",
url="https://www.jmir.org/2021/4/e21726",
url="http://www.ncbi.nlm.nih.gov/pubmed/33735096"
}


@Article{info:doi/10.2196/23914,
author="Kazevman, Gill
and Mercado, Marck
and Hulme, Jennifer
and Somers, Andrea",
title="Prescribing Phones to Address Health Equity Needs in the COVID-19 Era: The PHONE-CONNECT Program",
journal="J Med Internet Res",
year="2021",
month="Apr",
day="6",
volume="23",
number="4",
pages="e23914",
keywords="digital health equity",
keywords="health inequity",
keywords="digital determinants of health",
keywords="emergency medicine",
keywords="COVID-19",
keywords="public health",
keywords="health policy",
keywords="primary care",
keywords="cell phone",
doi="10.2196/23914",
url="https://www.jmir.org/2021/4/e23914",
url="http://www.ncbi.nlm.nih.gov/pubmed/33760753"
}


@Article{info:doi/10.2196/26811,
author="Balcombe, Luke
and De Leo, Diego",
title="Digital Mental Health Challenges and the Horizon Ahead for Solutions",
journal="JMIR Ment Health",
year="2021",
month="Mar",
day="29",
volume="8",
number="3",
pages="e26811",
keywords="challenges",
keywords="COVID-19",
keywords="digital mental health implementation",
keywords="explainable artificial intelligence",
keywords="hybrid model of care",
keywords="human-computer interaction",
keywords="resilience",
keywords="technology",
doi="10.2196/26811",
url="https://mental.jmir.org/2021/3/e26811",
url="http://www.ncbi.nlm.nih.gov/pubmed/33779570"
}


@Article{info:doi/10.2196/23011,
author="Coetzee, Timothy
and Ball, Price Mad
and Boutin, Marc
and Bronson, Abby
and Dexter, T. David
and English, A. Rebecca
and Furlong, Patricia
and Goodman, D. Andrew
and Grossman, Cynthia
and Hernandez, F. Adrian
and Hinners, E. Jennifer
and Hudson, Lynn
and Kennedy, Annie
and Marchisotto, Jane Mary
and Matrisian, Lynn
and Myers, Elizabeth
and Nowell, Benjamin W.
and Nosek, A. Brian
and Sherer, Todd
and Shore, Carolyn
and Sim, Ida
and Smolensky, Luba
and Williams, Christopher
and Wood, Julie
and Terry, F. Sharon",
title="Data Sharing Goals for Nonprofit Funders of Clinical Trials",
journal="J Participat Med",
year="2021",
month="Mar",
day="29",
volume="13",
number="1",
pages="e23011",
keywords="clinical trial",
keywords="biomedical research",
keywords="data sharing",
keywords="patients",
doi="10.2196/23011",
url="https://jopm.jmir.org/2021/1/e23011",
url="http://www.ncbi.nlm.nih.gov/pubmed/33779573"
}


@Article{info:doi/10.2196/13999,
author="Martini, Mariano
and Bragazzi, Luigi Nicola",
title="Googling for Neurological Disorders: From Seeking Health-Related Information to Patient Empowerment, Advocacy, and Open, Public Self-Disclosure in the Neurology 2.0 Era",
journal="J Med Internet Res",
year="2021",
month="Mar",
day="26",
volume="23",
number="3",
pages="e13999",
keywords="advocacy",
keywords="health information seeking",
keywords="neurological disorders",
keywords="open self-disclosure",
doi="10.2196/13999",
url="https://www.jmir.org/2021/3/e13999",
url="http://www.ncbi.nlm.nih.gov/pubmed/30946019"
}


@Article{info:doi/10.2196/24948,
author="Gesser-Edelsburg, Anat",
title="Using Narrative Evidence to Convey Health Information on Social Media: The Case of COVID-19",
journal="J Med Internet Res",
year="2021",
month="Mar",
day="15",
volume="23",
number="3",
pages="e24948",
keywords="health and risk communication",
keywords="social media",
keywords="narrative evidence",
keywords="crisis",
keywords="pandemic",
keywords="misinformation",
keywords="infodemic",
keywords="infodemiology",
keywords="COVID-19",
keywords="policy",
keywords="segmentation",
keywords="barrier reduction",
keywords="role models",
keywords="empathy and support",
keywords="strengthening self/community-efficacy",
keywords="coping tools",
keywords="preventing stigmatization",
keywords="at-risk populations",
keywords="communicating uncertainty",
keywords="positive deviance",
keywords="tailor messaging",
keywords="targeted behavioral change",
doi="10.2196/24948",
url="https://www.jmir.org/2021/3/e24948",
url="http://www.ncbi.nlm.nih.gov/pubmed/33674257"
}


@Article{info:doi/10.2196/23984,
author="Wang, Xuancong
and Vouk, Nikola
and Heaukulani, Creighton
and Buddhika, Thisum
and Martanto, Wijaya
and Lee, Jimmy
and Morris, JT Robert",
title="HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning",
journal="J Med Internet Res",
year="2021",
month="Mar",
day="15",
volume="23",
number="3",
pages="e23984",
keywords="digital phenotyping",
keywords="eHealth",
keywords="mHealth",
keywords="mobile phone",
keywords="phenotype",
keywords="data collection",
keywords="outpatient monitoring",
keywords="machine learning",
doi="10.2196/23984",
url="https://www.jmir.org/2021/3/e23984",
url="http://www.ncbi.nlm.nih.gov/pubmed/33720028"
}


@Article{info:doi/10.2196/22453,
author="Santus, Enrico
and Marino, Nicola
and Cirillo, Davide
and Chersoni, Emmanuele
and Montagud, Arnau
and Santuccione Chadha, Antonella
and Valencia, Alfonso
and Hughes, Kevin
and Lindvall, Charlotta",
title="Artificial Intelligence--Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development",
journal="J Med Internet Res",
year="2021",
month="Mar",
day="12",
volume="23",
number="3",
pages="e22453",
keywords="COVID-19",
keywords="SARS-CoV-2",
keywords="artificial intelligence",
keywords="personalized medicine",
keywords="precision medicine",
keywords="prevention",
keywords="monitoring",
keywords="epidemic",
keywords="literature",
keywords="public health",
keywords="pandemic",
doi="10.2196/22453",
url="https://www.jmir.org/2021/3/e22453",
url="http://www.ncbi.nlm.nih.gov/pubmed/33560998"
}


@Article{info:doi/10.2196/25173,
author="Shepperd, A. James
and Pogge, Gabrielle
and Hunleth, M. Jean
and Ruiz, Sienna
and Waters, A. Erika",
title="Guidelines for Conducting Virtual Cognitive Interviews During a Pandemic",
journal="J Med Internet Res",
year="2021",
month="Mar",
day="11",
volume="23",
number="3",
pages="e25173",
keywords="cognitive interview",
keywords="COVID-19",
keywords="guidelines",
keywords="teleresearch",
keywords="pandemic",
keywords="tablet computer",
keywords="telehealth",
keywords="training",
doi="10.2196/25173",
url="https://www.jmir.org/2021/3/e25173",
url="http://www.ncbi.nlm.nih.gov/pubmed/33577464"
}


@Article{info:doi/10.2196/22219,
author="Kohane, S. Isaac
and Aronow, J. Bruce
and Avillach, Paul
and Beaulieu-Jones, K. Brett
and Bellazzi, Riccardo
and Bradford, L. Robert
and Brat, A. Gabriel
and Cannataro, Mario
and Cimino, J. James
and Garc{\'i}a-Barrio, Noelia
and Gehlenborg, Nils
and Ghassemi, Marzyeh
and Guti{\'e}rrez-Sacrist{\'a}n, Alba
and Hanauer, A. David
and Holmes, H. John
and Hong, Chuan
and Klann, G. Jeffrey
and Loh, Will Ne Hooi
and Luo, Yuan
and Mandl, D. Kenneth
and Daniar, Mohamad
and Moore, H. Jason
and Murphy, N. Shawn
and Neuraz, Antoine
and Ngiam, Yuan Kee
and Omenn, S. Gilbert
and Palmer, Nathan
and Patel, P. Lav
and Pedrera-Jim{\'e}nez, Miguel
and Sliz, Piotr
and South, M. Andrew
and Tan, Min Amelia Li
and Taylor, M. Deanne
and Taylor, W. Bradley
and Torti, Carlo
and Vallejos, K. Andrew
and Wagholikar, B. Kavishwar
and 
and Weber, M. Griffin
and Cai, Tianxi",
title="What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask",
journal="J Med Internet Res",
year="2021",
month="Mar",
day="2",
volume="23",
number="3",
pages="e22219",
keywords="COVID-19",
keywords="electronic health records",
keywords="real-world data",
keywords="literature",
keywords="publishing",
keywords="quality",
keywords="data quality",
keywords="reporting standards",
keywords="reporting checklist",
keywords="review",
keywords="statistics",
doi="10.2196/22219",
url="https://www.jmir.org/2021/3/e22219",
url="http://www.ncbi.nlm.nih.gov/pubmed/33600347"
}


@Article{info:doi/10.2196/25120,
author="Scheibner, James
and Raisaro, Louis Jean
and Troncoso-Pastoriza, Ram{\'o}n Juan
and Ienca, Marcello
and Fellay, Jacques
and Vayena, Effy
and Hubaux, Jean-Pierre",
title="Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis",
journal="J Med Internet Res",
year="2021",
month="Feb",
day="25",
volume="23",
number="2",
pages="e25120",
keywords="encryption",
keywords="anonymization",
keywords="pseudonymization",
keywords="centralized approach",
keywords="decentralized approach",
keywords="federated approach",
keywords="Interoperability",
keywords="privacy",
keywords="GDPR",
keywords="General Data Protection Regulation",
keywords="data privacy",
keywords="data protection",
keywords="ethics",
keywords="research",
keywords="data sharing",
keywords="data governance",
keywords="patient data privacy",
doi="10.2196/25120",
url="https://www.jmir.org/2021/2/e25120",
url="http://www.ncbi.nlm.nih.gov/pubmed/33629963"
}


@Article{info:doi/10.2196/19306,
author="Spinazze, Pier
and Aardoom, Jiska
and Chavannes, Niels
and Kasteleyn, Marise",
title="The Computer Will See You Now: Overcoming Barriers to Adoption of Computer-Assisted History Taking (CAHT) in Primary Care",
journal="J Med Internet Res",
year="2021",
month="Feb",
day="24",
volume="23",
number="2",
pages="e19306",
keywords="computer-assisted history taking",
keywords="history taking",
keywords="clinical consultation",
keywords="digital health",
keywords="electronic health record",
keywords="patient-provided health information",
doi="10.2196/19306",
url="https://www.jmir.org/2021/2/e19306",
url="http://www.ncbi.nlm.nih.gov/pubmed/33625360"
}


@Article{info:doi/10.2196/20537,
author="Ishak, Affendi Shahrul
and Din, Rosseni
and Hasran, Azmah Umi",
title="Defining Digital Game-Based Learning for Science, Technology, Engineering, and Mathematics: A New Perspective on Design and Developmental Research",
journal="J Med Internet Res",
year="2021",
month="Feb",
day="19",
volume="23",
number="2",
pages="e20537",
keywords="digital game-based learning",
keywords="STEM digital game",
keywords="game development model",
keywords="game design",
keywords="design and developmental research",
doi="10.2196/20537",
url="http://www.jmir.org/2021/2/e20537/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33605885"
}


@Article{info:doi/10.2196/21615,
author="Desai, Varma Anjali
and Michael, L. Chelsea
and Kuperman, J. Gilad
and Jordan, Gregory
and Mittelstaedt, Haley
and Epstein, S. Andrew
and Connor, MaryAnn
and B Villar, Paula Rika
and Bernal, Camila
and Kramer, Dana
and Davis, Elizabeth Mary
and Chen, Yuxiao
and Malisse, Catherine
and Markose, Gigi
and Nelson, E. Judith",
title="A Novel Patient Values Tab for the Electronic Health Record: A User-Centered Design Approach",
journal="J Med Internet Res",
year="2021",
month="Feb",
day="17",
volume="23",
number="2",
pages="e21615",
keywords="electronic health record",
keywords="health informatics",
keywords="supportive care",
keywords="palliative care",
keywords="oncology",
abstract="Background: The COVID-19 pandemic has shined a harsh light on a critical deficiency in our health care system: our inability to access important information about patients' values, goals, and preferences in the electronic health record (EHR). At Memorial Sloan Kettering Cancer Center (MSK), we have integrated and systematized health-related values discussions led by oncology nurses for newly diagnosed cancer patients as part of routine comprehensive cancer care. Such conversations include not only the patient's wishes for care at the end of life but also more holistic personal values, including sources of strength, concerns, hopes, and their definition of an acceptable quality of life. In addition, health care providers use a structured template to document their discussions of patient goals of care. Objective: To provide ready access to key information about the patient as a person with individual values, goals, and preferences, we undertook the creation of the Patient Values Tab in our center's EHR to display this information in a single, central location. Here, we describe the interprofessional, interdisciplinary, iterative process and user-centered design methodology that we applied to build this novel functionality as well as our initial implementation experience and plans for evaluation. Methods: We first convened a working group of experts from multiple departments, including medical oncology, health informatics, information systems, nursing informatics, nursing education, and supportive care, and a user experience designer. We conducted in-depth, semistructured, audiorecorded interviews of over 100 key stakeholders. The working group sought consensus on the tab's main content, homing in on high-priority areas identified by the stakeholders. The core content was mapped to various EHR data sources. We established a set of high-level design principles to guide our process. Our user experience designer then created wireframes of the tab design. The designer conducted usability testing with physicians, nurses, and other health professionals. Data validation testing was conducted. Results: We have already deployed the Patient Values Tab to a pilot sample of users in the MSK Gastrointestinal Medical Oncology Service, including physicians, advanced practice providers, nurses, and administrative staff. We have early evidence of the positive impact of this EHR innovation. Audit logs show increasing use. Many of the initial user comments have been enthusiastically positive, while others have provided constructive suggestions for additional tab refinements with respect to format and content. Conclusions: It is our challenge and obligation to enrich the EHR with information about the patient as a person. Realization of this capability is a pressing public health need requiring the collaboration of technological experts with a broad range of clinical leaders, users, patients, and families to achieve solutions that are both principled and practical. Our new Patient Values Tab represents a step forward in this important direction. ",
doi="10.2196/21615",
url="http://www.jmir.org/2021/2/e21615/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33595448"
}


@Article{info:doi/10.2196/22320,
author="Pham, Quynh
and Gamble, Anissa
and Hearn, Jason
and Cafazzo, A. Joseph",
title="The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations",
journal="J Med Internet Res",
year="2021",
month="Feb",
day="10",
volume="23",
number="2",
pages="e22320",
keywords="diabetes",
keywords="artificial intelligence",
keywords="digital health",
keywords="ethnoracial equity",
keywords="ethnicity",
keywords="race",
doi="10.2196/22320",
url="http://www.jmir.org/2021/2/e22320/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33565982"
}


@Article{info:doi/10.2196/25245,
author="Idrees, Mohammad Sheikh
and Nowostawski, Mariusz
and Jameel, Roshan",
title="Blockchain-Based Digital Contact Tracing Apps for COVID-19 Pandemic Management: Issues, Challenges, Solutions, and Future Directions",
journal="JMIR Med Inform",
year="2021",
month="Feb",
day="9",
volume="9",
number="2",
pages="e25245",
keywords="COVID-19",
keywords="digital contact tracing",
keywords="privacy preservation",
keywords="security",
keywords="blockchain technology",
keywords="blockchain",
keywords="privacy",
keywords="contact tracing",
keywords="app",
keywords="surveillance",
doi="10.2196/25245",
url="https://medinform.jmir.org/2021/2/e25245",
url="http://www.ncbi.nlm.nih.gov/pubmed/33400677"
}


@Article{info:doi/10.2196/22189,
author="Benis, Arriel
and Tamburis, Oscar
and Chronaki, Catherine
and Moen, Anne",
title="One Digital Health: A Unified Framework for Future Health Ecosystems",
journal="J Med Internet Res",
year="2021",
month="Feb",
day="5",
volume="23",
number="2",
pages="e22189",
keywords="One Health",
keywords="digital health",
keywords="eHealth",
keywords="medicine",
keywords="veterinary medicine",
keywords="environmental monitoring",
keywords="education",
keywords="patient engagement",
keywords="citizen science",
keywords="health care industry",
keywords="population health management",
keywords="data science",
keywords="COVID-19",
doi="10.2196/22189",
url="http://www.jmir.org/2021/2/e22189/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33492240"
}


@Article{info:doi/10.2196/24098,
author="O'Connell, E. Megan
and Vellani, Shirin
and Robertson, Sheryl
and O'Rourke, M. Hannah
and McGilton, S. Kathy",
title="Going From Zero to 100 in Remote Dementia Research: A Practical Guide",
journal="J Med Internet Res",
year="2021",
month="Jan",
day="27",
volume="23",
number="1",
pages="e24098",
keywords="COVID-19",
keywords="telehealth",
keywords="videoconferencing",
keywords="dementia",
keywords="information communications technology",
doi="10.2196/24098",
url="http://www.jmir.org/2021/1/e24098/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33468448"
}


@Article{info:doi/10.2196/23370,
author="Guinez-Molinos, Sergio
and Gonzalez D{\'i}az, Jaime
and Gomar Sancho, Carmen
and Espinoza, Paulina
and Constenla, Gustavo",
title="A Web Platform (MOSAICO) to Design, Perform, and Assess Collaborative Clinical Scenarios for Medical Students: Viewpoint",
journal="JMIR Med Educ",
year="2021",
month="Jan",
day="26",
volume="7",
number="1",
pages="e23370",
keywords="collaborative clinical simulation",
keywords="electronic simulation record",
keywords="medical students",
keywords="medical education",
keywords="MOSAICO",
abstract="Background: The collaborative clinical simulation (CCS) model is a structured method for the development and assessment of clinical competencies through small groups working collaboratively in simulated environments. From 2016 onward, the CCS model has been applied successfully among undergraduate and graduate medical students from the Universidad de Talca, Chile; the Universit{\"a}t de Barcelona, Spain; and the Universidad de Vic-Manresa, Spain. All the templates for building the clinical cases and the assessment instruments with CCS were printed on paper. Considering the large number of CCS sessions and the number of participating students that are required throughout the medical degree curriculum, it is impossible to keep an organized record when the instruments are printed on paper. Moreover, with the COVID-19 pandemic, web platforms have become important as safe training environments for students and medical faculties; this new educational environment should include the consolidation and adaptation of didactic sessions that create and use available virtual cases and use different web platforms. Objective: The goal of this study is to describe the design and development of a web platform that was created to strengthen the CCS model. Methods: The design of the web platform aimed to support each phase of the CCS by incorporating functional requirements (ie, features that the web platform will be able to perform) and nonfunctional requirements (ie, how the web platform should behave) that are needed to run collaborative sessions.  The software was developed under the Model-View-Controller architecture to separate the views from the data model and the business logic. Results: MOSAICO is a web platform used to design, perform, and assess collaborative clinical scenarios for medical students. MOSAICO has four modules: educational design, students' collaborative design, collaborative simulation, and collaborative debriefing. The web platform has three different user profiles: academic simulation unit, teacher, and student. These users interact under different roles in collaborative simulations. MOSAICO enables a collaborative environment, which is connected via the internet, to design clinical scenarios guided by the teacher and enables the use of all data generated to be discussed in the debriefing session with the teacher as a guide. The web platform is running at the Universidad de Talca in Chile and is supporting collaborative simulation activities via the internet for two medical courses: (1) Semiology for third-year students (70 students in total) and (2) Medical Genetics for fifth-year students (30 students in total). Conclusions: MOSAICO is applicable within the CCS model and is used frequently in different simulation sessions at the Universidad de Talca, where medical students can work collaboratively via the internet. MOSAICO simplifies the application and reuse of clinical simulation scenarios, allowing its use in multiple simulation centers. Moreover, its applications in different courses (ie, a large part of the medical curriculum) support the automatic tracking of simulation activities and their assessment. ",
doi="10.2196/23370",
url="http://mededu.jmir.org/2021/1/e23370/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33496676"
}


@Article{info:doi/10.2196/25507,
author="Laur, Violet Celia
and Agarwal, Payal
and Mukerji, Geetha
and Goulbourne, Elaine
and Baranek, Hayley
and Pus, Laura
and Bhatia, Sacha R.
and Martin, Danielle
and Bhattacharyya, Onil",
title="Building Health Services in a Rapidly Changing Landscape: Lessons in Adaptive Leadership and Pivots in a COVID-19 Remote Monitoring Program",
journal="J Med Internet Res",
year="2021",
month="Jan",
day="13",
volume="23",
number="1",
pages="e25507",
keywords="adaptive leadership",
keywords="pivots",
keywords="acute care",
keywords="COVID-19",
keywords="leadership",
keywords="remote monitoring",
keywords="monitoring",
keywords="health service",
keywords="framework",
doi="10.2196/25507",
url="http://www.jmir.org/2021/1/e25507/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33417588"
}


@Article{info:doi/10.2196/21815,
author="Petracca, Francesco
and Ciani, Oriana
and Cucciniello, Maria
and Tarricone, Rosanna",
title="Harnessing Digital Health Technologies During and After the COVID-19 Pandemic: Context Matters",
journal="J Med Internet Res",
year="2020",
month="Dec",
day="30",
volume="22",
number="12",
pages="e21815",
keywords="mobile apps",
keywords="coronavirus",
keywords="COVID-19",
keywords="digital health",
keywords="mHealth",
keywords="organizational context",
keywords="public health",
keywords="telemedicine",
doi="10.2196/21815",
url="http://www.jmir.org/2020/12/e21815/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33351777"
}


@Article{info:doi/10.2196/20064,
author="Steeb, Theresa
and Follmann, Markus
and Hagen, Matthias Ralf
and Berking, Carola
and Heppt, Vincent Markus",
title="Implications of the COVID-19 Pandemic for the Development and Update of Clinical Practice Guidelines: Viewpoint",
journal="J Med Internet Res",
year="2020",
month="Dec",
day="29",
volume="22",
number="12",
pages="e20064",
keywords="practice guideline",
keywords="consensus development conference",
keywords="guideline",
keywords="videoconferencing",
keywords="clinical practice",
keywords="COVID-19",
keywords="pandemic",
keywords="public health",
keywords="policy",
keywords="decision making",
keywords="online conference",
doi="10.2196/20064",
url="http://www.jmir.org/2020/12/e20064/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33347419"
}


@Article{info:doi/10.2196/20343,
author="Hansen, Gregory
and Cyr, Amelie",
title="Canada's Decentralized ``Human-Driven'' Approach During the Early COVID-19 Pandemic",
journal="JMIR Public Health Surveill",
year="2020",
month="Dec",
day="23",
volume="6",
number="4",
pages="e20343",
keywords="COVID-19",
keywords="coronavirus infection",
keywords="public health",
doi="10.2196/20343",
url="http://publichealth.jmir.org/2020/4/e20343/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33315582"
}


@Article{info:doi/10.2196/23777,
author="Parsons, Thomas
and Duffield, Tyler",
title="Paradigm Shift Toward Digital Neuropsychology and High-Dimensional Neuropsychological Assessments: Review",
journal="J Med Internet Res",
year="2020",
month="Dec",
day="16",
volume="22",
number="12",
pages="e23777",
keywords="neuropsychology",
keywords="technology",
keywords="informatics",
keywords="machine learning",
keywords="big data",
keywords="virtual reality",
keywords="smartphone",
keywords="mobile phone",
doi="10.2196/23777",
url="http://www.jmir.org/2020/12/e23777/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33325829"
}


@Article{info:doi/10.2196/22727,
author="Uscher-Pines, Lori
and Thompson, James
and Taylor, Prentiss
and Dean, Kristin
and Yuan, Tony
and Tong, Ian
and Mehrotra, Ateev",
title="Where Virtual Care Was Already a Reality: Experiences of a Nationwide Telehealth Service Provider During the COVID-19 Pandemic",
journal="J Med Internet Res",
year="2020",
month="Dec",
day="15",
volume="22",
number="12",
pages="e22727",
keywords="telehealth",
keywords="telemedicine",
keywords="COVID-19",
keywords="pandemic",
keywords="infectious disease",
keywords="virus",
keywords="United States",
abstract="Background: The COVID-19 pandemic has led to an increase in the use of and demand for telehealth services. Objective: Here, we describe the utilization of telehealth services provided by Doctor On Demand, Inc., a well-known telehealth company in the United States, before and during the COVID-19 pandemic. We also explore how the number of virtual visits, reasons for visits, and patients served changed over time. Methods: We reported data as a percentage change from the baseline week during 2 distinct time periods: February-June 2019 and February-June 2020 based on 4 categories of visits: respiratory illness, unscheduled behavioral health, scheduled behavioral health, and chronic illness. Results: In 2020, the total visit volume increased considerably from March through April 7, 2020 (59\% above the baseline) and then declined through the week of June 2 (15\% above the baseline). Visits for respiratory illnesses increased through the week of March 24 (30\% above the baseline) and then steadily declined through the week of June 2 (65\% below the baseline). Higher relative increases were observed for unscheduled behavioral health and chronic illness visits through April (109\% and 131\% above the baseline, respectively) before a decline through the week of June 2 (69\% and 37\% above the baseline, respectively). Increases in visit volume among rural residents were slightly higher than those among urban residents (peak at 64\% vs 58\% above the baseline, respectively). Conclusions: Although this telehealth service provider observed a substantial increase in the volume of visits during the COVID-19 pandemic, it is interesting to note that this growth was not fueled by COVID-19 concerns but by visits for behavioral health and chronic illness. Telehealth services may play a role as a ``safety valve'' for patients who have difficulty accessing care during a public health emergency. ",
doi="10.2196/22727",
url="https://www.jmir.org/2020/12/e22727",
url="http://www.ncbi.nlm.nih.gov/pubmed/33112761"
}


@Article{info:doi/10.2196/24578,
author="Davenport, A. Tracey
and Cheng, Sze Vanessa Wan
and Iorfino, Frank
and Hamilton, Blake
and Castaldi, Eva
and Burton, Amy
and Scott, M. Elizabeth
and Hickie, B. Ian",
title="Flip the Clinic: A Digital Health Approach to Youth Mental Health Service Delivery During the COVID-19 Pandemic and Beyond",
journal="JMIR Ment Health",
year="2020",
month="Dec",
day="15",
volume="7",
number="12",
pages="e24578",
keywords="health information technologies",
keywords="clinical staging",
keywords="youth",
keywords="mental health",
keywords="transdiagnostic",
keywords="eHealth",
keywords="routine outcome monitoring",
keywords="adolescent",
keywords="mental health services",
keywords="health services",
keywords="telemedicine",
keywords="monitoring",
keywords="outcome",
keywords="young adult",
keywords="COVID-19",
doi="10.2196/24578",
url="http://mental.jmir.org/2020/12/e24578/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33206051"
}


@Article{info:doi/10.2196/24824,
author="Gordon, J. William
and Mandl, D. Kenneth",
title="The 21st Century Cures Act: A Competitive Apps Market and the Risk of Innovation Blocking",
journal="J Med Internet Res",
year="2020",
month="Dec",
day="11",
volume="22",
number="12",
pages="e24824",
keywords="interoperability",
keywords="application programming interfaces",
keywords="SMART on FHIR",
keywords="health information",
keywords="patient records",
keywords="digital infrastructure",
keywords="digital",
keywords="app ecosystem",
doi="10.2196/24824",
url="http://www.jmir.org/2020/12/e24824/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33306034"
}


@Article{info:doi/10.2196/21572,
author="Zhang, Melvyn
and Chow, Aloysius
and Smith, Helen",
title="COVID-19 Contact-Tracing Apps: Analysis of the Readability of Privacy Policies",
journal="J Med Internet Res",
year="2020",
month="Dec",
day="3",
volume="22",
number="12",
pages="e21572",
keywords="COVID-19",
keywords="smartphone apps",
keywords="contact tracing",
keywords="privacy policy",
keywords="readability",
keywords="app",
keywords="privacy",
keywords="surveillance",
doi="10.2196/21572",
url="https://www.jmir.org/2020/12/e21572",
url="http://www.ncbi.nlm.nih.gov/pubmed/33170798"
}


@Article{info:doi/10.2196/22098,
author="Nakamoto, Ichiro
and Jiang, Ming
and Zhang, Jilin
and Zhuang, Weiqing
and Guo, Yan
and Jin, Ming-Hui
and Huang, Yi
and Tang, Kuotai",
title="Evaluation of the Design and Implementation of a Peer-To-Peer COVID-19 Contact Tracing Mobile App (COCOA) in Japan",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Dec",
day="1",
volume="8",
number="12",
pages="e22098",
keywords="COVID-19",
keywords="contact tracing",
keywords="mobile app",
keywords="peer-to-peer",
keywords="Bluetooth-based",
keywords="telehealth",
keywords="privacy protection",
keywords="load balancing",
keywords="close contact",
keywords="decentralized",
doi="10.2196/22098",
url="https://mhealth.jmir.org/2020/12/e22098",
url="http://www.ncbi.nlm.nih.gov/pubmed/33170801"
}


@Article{info:doi/10.2196/20839,
author="Hyder, A. Maryam
and Razzak, Junaid",
title="Telemedicine in the United States: An Introduction for Students and Residents",
journal="J Med Internet Res",
year="2020",
month="Nov",
day="24",
volume="22",
number="11",
pages="e20839",
keywords="telemedicine",
keywords="telehealth",
keywords="eHealth",
keywords="biomedical technology",
keywords="mHealth",
keywords="mobile health",
keywords="COVID-19",
doi="10.2196/20839",
url="http://www.jmir.org/2020/11/e20839/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33215999"
}


@Article{info:doi/10.2196/22045,
author="Hamidian Jahromi, Alireza
and Arnautovic, Alisa
and Konofaos, Petros",
title="Impact of the COVID-19 Pandemic on the Education of Plastic Surgery Trainees in the United States",
journal="JMIR Med Educ",
year="2020",
month="Nov",
day="17",
volume="6",
number="2",
pages="e22045",
keywords="COVID-19",
keywords="coronavirus",
keywords="education",
keywords="plastic surgery residency",
keywords="plastic surgery fellowship",
keywords="surgery residency",
keywords="impact",
keywords="trainee",
doi="10.2196/22045",
url="http://mededu.jmir.org/2020/2/e22045/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33119537"
}


@Article{info:doi/10.2196/22612,
author="Burke, Colin
and Bloss, Cinnamon",
title="Social Media Surveillance in Schools: Rethinking Public Health Interventions in the Digital Age",
journal="J Med Internet Res",
year="2020",
month="Nov",
day="12",
volume="22",
number="11",
pages="e22612",
keywords="social media",
keywords="surveillance",
keywords="privacy",
keywords="public health",
keywords="students",
keywords="schools",
keywords="social media surveillance",
keywords="school safety",
keywords="mental health",
keywords="adolescents",
doi="10.2196/22612",
url="http://www.jmir.org/2020/11/e22612/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33179599"
}


@Article{info:doi/10.2196/20135,
author="Kelly, T. Jaimon
and Campbell, L. Katrina
and Gong, Enying
and Scuffham, Paul",
title="The Internet of Things: Impact and Implications for Health Care Delivery",
journal="J Med Internet Res",
year="2020",
month="Nov",
day="10",
volume="22",
number="11",
pages="e20135",
keywords="Internet of Things",
keywords="digital health",
keywords="smartphone",
keywords="delivery of health care",
keywords="mobile phone",
doi="10.2196/20135",
url="http://www.jmir.org/2020/11/e20135/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33170132"
}


@Article{info:doi/10.2196/18907,
author="Lu, Lin
and Zhang, Jiayao
and Xie, Yi
and Gao, Fei
and Xu, Song
and Wu, Xinghuo
and Ye, Zhewei",
title="Wearable Health Devices in Health Care: Narrative Systematic Review",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Nov",
day="9",
volume="8",
number="11",
pages="e18907",
keywords="wearable",
keywords="medical field",
keywords="public health",
keywords="health monitoring",
keywords="chronic disease management",
keywords="rehabilitation.",
abstract="Background: With the rise of mobile medicine, the development of new technologies such as smart sensing, and the popularization of personalized health concepts, the field of smart wearable devices has developed rapidly in recent years. Among them, medical wearable devices have become one of the most promising fields. These intelligent devices not only assist people in pursuing a healthier lifestyle but also provide a constant stream of health care data for disease diagnosis and treatment by actively recording physiological parameters and tracking metabolic status. Therefore, wearable medical devices have the potential to become a mainstay of the future mobile medical market. Objective: Although previous reviews have discussed consumer trends in wearable electronics and the application of wearable technology in recreational and sporting activities, data on broad clinical usefulness are lacking. We aimed to review the current application of wearable devices in health care while highlighting shortcomings for further research. In addition to daily health and safety monitoring, the focus of our work was mainly on the use of wearable devices in clinical practice. Methods: We conducted a narrative review of the use of wearable devices in health care settings by searching papers in PubMed, EMBASE, Scopus, and the Cochrane Library published since October 2015. Potentially relevant papers were then compared to determine their relevance and reviewed independently for inclusion. Results: A total of 82 relevant papers drawn from 960 papers on the subject of wearable devices in health care settings were qualitatively analyzed, and the information was synthesized. Our review shows that the wearable medical devices developed so far have been designed for use on all parts of the human body, including the head, limbs, and torso. These devices can be classified into 4 application areas: (1) health and safety monitoring, (2) chronic disease management, (3) disease diagnosis and treatment, and (4) rehabilitation. However, the wearable medical device industry currently faces several important limitations that prevent further use of wearable technology in medical practice, such as difficulties in achieving user-friendly solutions, security and privacy concerns, the lack of industry standards, and various technical bottlenecks. Conclusions: We predict that with the development of science and technology and the popularization of personalized health concepts, wearable devices will play a greater role in the field of health care and become better integrated into people's daily lives. However, more research is needed to explore further applications of wearable devices in the medical field. We hope that this review can provide a useful reference for the development of wearable medical devices. ",
doi="10.2196/18907",
url="http://mhealth.jmir.org/2020/11/e18907/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33164904"
}


@Article{info:doi/10.2196/22287,
author="Shah, Sarwar Syed Ghulam
and Nogueras, David
and van Woerden, Cornelis Hugo
and Kiparoglou, Vasiliki",
title="The COVID-19 Pandemic: A Pandemic of Lockdown Loneliness and the Role of Digital Technology",
journal="J Med Internet Res",
year="2020",
month="Nov",
day="5",
volume="22",
number="11",
pages="e22287",
keywords="COVID-19",
keywords="coronavirus",
keywords="pandemic",
keywords="social isolation",
keywords="loneliness",
keywords="lockdown",
keywords="social distancing",
keywords="digital technology",
keywords="social connectedness",
keywords="social networking",
keywords="online digital tools",
doi="10.2196/22287",
url="http://www.jmir.org/2020/11/e22287/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33108313"
}


@Article{info:doi/10.2196/19612,
author="Rahman, Protiva
and Nandi, Arnab
and Hebert, Courtney",
title="Amplifying Domain Expertise in Clinical Data Pipelines",
journal="JMIR Med Inform",
year="2020",
month="Nov",
day="5",
volume="8",
number="11",
pages="e19612",
keywords="review",
keywords="data analysis",
keywords="data science",
keywords="clinical informatics",
doi="10.2196/19612",
url="https://medinform.jmir.org/2020/11/e19612",
url="http://www.ncbi.nlm.nih.gov/pubmed/33151150"
}


@Article{info:doi/10.2196/20950,
author="Harrison, Conrad
and Loe, Sheng Bao
and Lis, Przemys?aw
and Sidey-Gibbons, Chris",
title="Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning",
journal="J Med Internet Res",
year="2020",
month="Oct",
day="29",
volume="22",
number="10",
pages="e20950",
keywords="computerized adaptive testing",
keywords="computerized adaptive test",
keywords="CAT",
keywords="machine learning",
keywords="patient reported outcome measures",
keywords="outcome assessment",
keywords="Concerto",
doi="10.2196/20950",
url="http://www.jmir.org/2020/10/e20950/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33118937"
}


@Article{info:doi/10.2196/23314,
author="Shaw, Ryan
and Stroo, Marissa
and Fiander, Christopher
and McMillan, Katlyn",
title="Selecting Mobile Health Technologies for Electronic Health Record Integration: Case Study",
journal="J Med Internet Res",
year="2020",
month="Oct",
day="28",
volume="22",
number="10",
pages="e23314",
keywords="mobile health",
keywords="mHealth",
keywords="electronic health record",
keywords="health technology",
keywords="mobile phone",
doi="10.2196/23314",
url="http://www.jmir.org/2020/10/e23314/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33112248"
}


@Article{info:doi/10.2196/20897,
author="Cadoret, Danielle
and Kailas, Tamara
and Velmovitsky, Pedro
and Morita, Plinio
and Igboeli, Okechukwu",
title="Proposed Implementation of Blockchain in British Columbia's Health Care Data Management",
journal="J Med Internet Res",
year="2020",
month="Oct",
day="23",
volume="22",
number="10",
pages="e20897",
keywords="blockchain",
keywords="electronic medical records",
keywords="health data management",
keywords="patient centric",
abstract="Background: There are several challenges such as information silos and lack of interoperability with the current electronic medical record (EMR) infrastructure in the Canadian health care system. These challenges can be alleviated by implementing a blockchain-based health care data management solution. Objective: This study aims to provide a detailed overview of the current health data management infrastructure in British Columbia for identifying some of the gaps and inefficiencies in the Canadian health care data management system. We explored whether blockchain is a viable option for bridging the existing gaps in EMR solutions in British Columbia's health care system. Methods: We constructed the British Columbia health care data infrastructure and health information flow based on publicly available information and in partnership with an industry expert familiar with the health systems information technology network of British Columbia's Provincial Health Services Authorities. Information flow gaps, inconsistencies, and inefficiencies were the target of our analyses. Results: We found that hospitals and clinics have several choices for managing electronic records of health care information, such as different EMR software or cloud-based data management, and that the system development, implementation, and operations for EMRs are carried out by the private sector. As of 2013, EMR adoption in British Columbia was at 80\% across all hospitals and the process of entering medical information into EMR systems in British Columbia could have a lag of up to 1 month. During this lag period, disease progression updates are continually written on physical paper charts and not immediately updated in the system, creating a continuous lag period and increasing the probability of errors and disjointed notes. The current major stumbling block for health care data management is interoperability resulting from the use of a wide range of unique information systems by different health care facilities. Conclusions: Our analysis of British Columbia's health care data management revealed several challenges, including information silos, the potential for medical errors, the general unwillingness of parties within the health care system to trust and share data, and the potential for security breaches and operational issues in the current EMR infrastructure. A blockchain-based solution has the highest potential in solving most of the challenges in managing health care data in British Columbia and other Canadian provinces. ",
doi="10.2196/20897",
url="http://www.jmir.org/2020/10/e20897/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33095183"
}


@Article{info:doi/10.2196/16835,
author="Casillas, Alejandra
and Abhat, Anshu
and Mahajan, Anish
and Moreno, Gerardo
and Brown, F. Arleen
and Simmons, Sara
and Szilagyi, Peter",
title="Portals of Change: How Patient Portals Will Ultimately Work for Safety Net Populations",
journal="J Med Internet Res",
year="2020",
month="Oct",
day="23",
volume="22",
number="10",
pages="e16835",
keywords="patient portal",
keywords="safety net",
keywords="health disparities",
keywords="digital divide",
doi="10.2196/16835",
url="https://www.jmir.org/2020/10/e16835",
url="http://www.ncbi.nlm.nih.gov/pubmed/33094732"
}


@Article{info:doi/10.2196/20748,
author="Yordanov, Youri
and Dechartres, Agnes
and Lescure, Xavier
and Apra, Caroline
and Villie, Pascaline
and Marchand-Arvier, Jerome
and Debuc, Erwan
and Dinh, Aur{\'e}lien
and Jourdain, Patrick
and ",
title="Covidom, a Telesurveillance Solution for Home Monitoring Patients With COVID-19",
journal="J Med Internet Res",
year="2020",
month="Oct",
day="22",
volume="22",
number="10",
pages="e20748",
keywords="COVID-19",
keywords="coronavirus disease",
keywords="home monitoring",
keywords="telesurveillance",
keywords="monitoring",
keywords="patient",
keywords="infectious disease",
keywords="app",
doi="10.2196/20748",
url="http://www.jmir.org/2020/10/e20748/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33006938"
}


@Article{info:doi/10.2196/21608,
author="Dula, Nicole Adrienne
and Gealogo Brown, Gretchel
and Aggarwal, Aarushi
and Clark, L. Kal",
title="Decrease in Stroke Diagnoses During the COVID-19 Pandemic: Where Did All Our Stroke Patients Go?",
journal="JMIR Aging",
year="2020",
month="Oct",
day="21",
volume="3",
number="2",
pages="e21608",
keywords="stroke",
keywords="ischemic stroke",
keywords="COVID-19",
keywords="SARS-CoV-2",
keywords="emergency medicine",
keywords="cerebrovascular",
doi="10.2196/21608",
url="http://aging.jmir.org/2020/2/e21608/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33006936"
}


@Article{info:doi/10.2196/23057,
author="Serlachius, Anna
and Badawy, M. Sherif
and Thabrew, Hiran",
title="Psychosocial Challenges and Opportunities for Youth With Chronic Health Conditions During the COVID-19 Pandemic",
journal="JMIR Pediatr Parent",
year="2020",
month="Oct",
day="12",
volume="3",
number="2",
pages="e23057",
keywords="COVID-19",
keywords="coronavirus",
keywords="pandemic",
keywords="chronic illness",
keywords="youth",
keywords="adolescents",
keywords="children",
keywords="psychosocial",
keywords="anxiety",
doi="10.2196/23057",
url="http://pediatrics.jmir.org/2020/2/e23057/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33001834"
}


@Article{info:doi/10.2196/23463,
author="Stull, W. Samuel
and McKnight, R. Erin
and Bonny, E. Andrea",
title="Patient and Clinician Perspectives on Adolescent Opioid Use Disorder Treatment During a Pandemic: One Step Back, but Two Forward?",
journal="JMIR Pediatr Parent",
year="2020",
month="Oct",
day="9",
volume="3",
number="2",
pages="e23463",
keywords="adolescent",
keywords="opioid use disorder",
keywords="treatment",
keywords="telehealth",
keywords="drug",
keywords="perspective",
keywords="opioid",
keywords="COVID-19",
keywords="young adult",
doi="10.2196/23463",
url="http://pediatrics.jmir.org/2020/2/e23463/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33016885"
}


@Article{info:doi/10.2196/21211,
author="Giunti, Guido
and Goossens, Richard
and De Bont, Antoinette
and Visser, J. Jacob
and Mulder, Mark
and Schuit, E. Stephanie C.",
title="The Need for Sustainable Teleconsultation Systems in the Aftermath of the First COVID-19 Wave",
journal="J Med Internet Res",
year="2020",
month="Oct",
day="5",
volume="22",
number="10",
pages="e21211",
keywords="telemedicine",
keywords="COVID-19",
keywords="telehealth",
keywords="teleconsultation",
keywords="exposure",
keywords="software",
keywords="digital health",
keywords="organization",
doi="10.2196/21211",
url="http://www.jmir.org/2020/10/e21211/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32997642"
}


@Article{info:doi/10.2196/19415,
author="Salisbury, Chris
and Quigley, Anna
and Hex, Nick
and Aznar, Camille",
title="Private Video Consultation Services and the Future of Primary Care",
journal="J Med Internet Res",
year="2020",
month="Oct",
day="1",
volume="22",
number="10",
pages="e19415",
keywords="remote consultation",
keywords="primary health care",
keywords="general practice",
keywords="delivery of health care",
keywords="access to health care",
keywords="mobile phone",
doi="10.2196/19415",
url="https://www.jmir.org/2020/10/e19415",
url="http://www.ncbi.nlm.nih.gov/pubmed/32812887"
}


@Article{info:doi/10.2196/23692,
author="Williams, Meilee Christina
and Chaturvedi, Rahul
and Chakravarthy, Krishnan",
title="Cybersecurity Risks in a Pandemic",
journal="J Med Internet Res",
year="2020",
month="Sep",
day="17",
volume="22",
number="9",
pages="e23692",
keywords="cybersecurity",
keywords="pandemic",
keywords="COVID-19",
keywords="SARS-CoV-2",
keywords="risk",
keywords="privacy",
keywords="hack",
keywords="patient data",
doi="10.2196/23692",
url="http://www.jmir.org/2020/9/e23692/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32897869"
}


@Article{info:doi/10.2196/21685,
author="He, Zonglin
and Zhang, P. Casper J.
and Huang, Jian
and Zhai, Jingyan
and Zhou, Shuang
and Chiu, Wai-Ting Joyce
and Sheng, Jie
and Tsang, Winghei
and Akinwunmi, O. Babatunde
and Ming, Wai-Kit",
title="A New Era of Epidemiology: Digital Epidemiology for Investigating the COVID-19 Outbreak in China",
journal="J Med Internet Res",
year="2020",
month="Sep",
day="17",
volume="22",
number="9",
pages="e21685",
keywords="digital epidemiology",
keywords="COVID-19",
keywords="risk",
keywords="control",
keywords="public health",
keywords="epidemiology",
keywords="China",
keywords="outbreak",
keywords="case study",
doi="10.2196/21685",
url="https://www.jmir.org/2020/9/e21685",
url="http://www.ncbi.nlm.nih.gov/pubmed/32805703"
}


@Article{info:doi/10.2196/17423,
author="Gaynor, Mark
and Tuttle-Newhall, Janet
and Parker, Jessica
and Patel, Arti
and Tang, Clare",
title="Adoption of Blockchain in Health Care",
journal="J Med Internet Res",
year="2020",
month="Sep",
day="17",
volume="22",
number="9",
pages="e17423",
keywords="blockchain adoption",
keywords="blockchain technology in health care",
keywords="supply chain",
keywords="data management",
doi="10.2196/17423",
url="https://www.jmir.org/2020/9/e17423",
url="http://www.ncbi.nlm.nih.gov/pubmed/32940618"
}


@Article{info:doi/10.2196/21922,
author="Yom-Tov, Elad
and Cherlow, Yuval",
title="Ethical Challenges and Opportunities Associated With the Ability to Perform Medical Screening From Interactions With Search Engines: Viewpoint",
journal="J Med Internet Res",
year="2020",
month="Sep",
day="16",
volume="22",
number="9",
pages="e21922",
keywords="search engines",
keywords="diagnosis",
keywords="screening",
doi="10.2196/21922",
url="http://www.jmir.org/2020/9/e21922/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32936082"
}


@Article{info:doi/10.2196/20896,
author="Cresswell, Kathrin
and Sheikh, Aziz",
title="Can Disinfection Robots Reduce the Risk of Transmission of SARS-CoV-2 in Health Care and Educational Settings?",
journal="J Med Internet Res",
year="2020",
month="Sep",
day="15",
volume="22",
number="9",
pages="e20896",
keywords="robotics",
keywords="disinfection",
keywords="SARS-CoV-2",
keywords="COVID-19",
keywords="risk",
keywords="transmission",
keywords="virus",
doi="10.2196/20896",
url="http://www.jmir.org/2020/9/e20896/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32903196"
}


@Article{info:doi/10.2196/21276,
author="Bhatia, Abhishek
and Matthan, Rahul
and Khanna, Tarun
and Balsari, Satchit",
title="Regulatory Sandboxes: A Cure for mHealth Pilotitis?",
journal="J Med Internet Res",
year="2020",
month="Sep",
day="15",
volume="22",
number="9",
pages="e21276",
keywords="COVID-19",
keywords="mHealth",
keywords="digital health",
keywords="design thinking",
keywords="regulation",
keywords="intervention",
keywords="regulatory sandbox",
doi="10.2196/21276",
url="http://www.jmir.org/2020/9/e21276/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32763889"
}


@Article{info:doi/10.2196/18084,
author="Tan, Marissa
and Hatef, Elham
and Taghipour, Delaram
and Vyas, Kinjel
and Kharrazi, Hadi
and Gottlieb, Laura
and Weiner, Jonathan",
title="Including Social and Behavioral Determinants in Predictive Models: Trends, Challenges, and Opportunities",
journal="JMIR Med Inform",
year="2020",
month="Sep",
day="8",
volume="8",
number="9",
pages="e18084",
keywords="social determinants of health",
keywords="information technology",
keywords="health care disparities",
keywords="population health",
doi="10.2196/18084",
url="http://medinform.jmir.org/2020/9/e18084/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32897240"
}


@Article{info:doi/10.2196/20953,
author="Silven, V. Anna
and Petrus, J. Annelieke H.
and Villalobos-Quesada, Mar{\'i}a
and Dirikgil, Ebru
and Oerlemans, R. Carlijn
and Landstra, P. Cyril
and Boosman, Hileen
and van Os, A. Hendrikus J.
and Blanker, H. Marco
and Treskes, W. Roderick
and Bonten, N. Tobias
and Chavannes, H. Niels
and Atsma, E. Douwe
and Teng, Onno Y. K.",
title="Telemonitoring for Patients With COVID-19: Recommendations for Design and Implementation",
journal="J Med Internet Res",
year="2020",
month="Sep",
day="2",
volume="22",
number="9",
pages="e20953",
keywords="telemonitoring",
keywords="telemedicine",
keywords="eHealth",
keywords="digital health",
keywords="COVID-19",
doi="10.2196/20953",
url="https://www.jmir.org/2020/9/e20953",
url="http://www.ncbi.nlm.nih.gov/pubmed/32833660"
}


@Article{info:doi/10.2196/19818,
author="Savage, Mark
and Savage, Clara Lucia",
title="Doctors Routinely Share Health Data Electronically Under HIPAA, and Sharing With Patients and Patients' Third-Party Health Apps is Consistent: Interoperability and Privacy Analysis",
journal="J Med Internet Res",
year="2020",
month="Sep",
day="2",
volume="22",
number="9",
pages="e19818",
keywords="digital health",
keywords="privacy",
keywords="interoperability",
keywords="mobile phone, smartphone",
keywords="electronic health records",
keywords="EHR",
keywords="patient access",
keywords="patient engagement",
keywords="Health Insurance Portability and Accountability Act",
keywords="HIPAA",
keywords="Health Information Technology for Economic and Clinical Health Act",
keywords="HITECH",
keywords="covered entity",
keywords="business associate",
keywords="protected health information",
keywords="PHI",
keywords="digital health applications",
keywords="apps",
doi="10.2196/19818",
url="https://www.jmir.org/2020/9/e19818",
url="http://www.ncbi.nlm.nih.gov/pubmed/32876582"
}


@Article{info:doi/10.2196/19338,
author="Hassounah, Marwah
and Raheel, Hafsa
and Alhefzi, Mohammed",
title="Digital Response During the COVID-19 Pandemic in Saudi Arabia",
journal="J Med Internet Res",
year="2020",
month="Sep",
day="1",
volume="22",
number="9",
pages="e19338",
keywords="digital response",
keywords="COVID-19",
keywords="Saudi Arabia",
keywords="digital health",
keywords="containment",
keywords="public health",
keywords="pandemic",
keywords="prevention",
abstract="Background: The first case of COVID-19 in Saudi Arabia was confirmed on March 3, 2020. Saudi Arabia, like many other countries worldwide, implemented lockdown of most public and private services in response to the pandemic and established population movement restrictions nationwide. With the implementation of these strict mitigation regulations, technology and digital solutions have enabled the provision of essential services. Objective: The aim of this paper is to highlight how Saudi Arabia has used digital technology during the COVID-19 pandemic in the domains of public health, health care services, education, telecommunication, commerce, and risk communication. Methods: We documented the use of digital technology in Saudi Arabia during the pandemic using publicly available official announcements, press briefings and releases, news clips, published data, peer-reviewed literature, and professional discussions. Results: Saudi Arabia's government and private sectors combined developed and launched approximately 19 apps and platforms that serve public health functions and provide health care services. A detailed account of each is provided. Education processes continued using an established electronic learning infrastructure with a promising direction toward wider adoption in the future. Telecommunication companies exhibited smooth collaboration as well as innovative initiatives to support ongoing efforts. Risk communication activities using social media, websites, and SMS text messaging followed best practice guides. Conclusions: The Saudi Vision 2030 framework, released in 2017, has paved the path for digital transformation. COVID-19 enabled the promotion and testing of this transition. In Saudi Arabia, the use of artificial intelligence in integrating different data sources during future outbreaks could be further explored. Also, decreasing the number of mobile apps and merging their functions could increase and facilitate their use. ",
doi="10.2196/19338",
url="https://www.jmir.org/2020/9/e19338",
url="http://www.ncbi.nlm.nih.gov/pubmed/32790642"
}


@Article{info:doi/10.2196/21609,
author="Quinn, M. Lauren
and Davies, J. Melanie
and Hadjiconstantinou, Michelle",
title="Virtual Consultations and the Role of Technology During the COVID-19 Pandemic for People With Type 2 Diabetes: The UK Perspective",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="28",
volume="22",
number="8",
pages="e21609",
keywords="diabetes",
keywords="virtual clinic",
keywords="technology",
keywords="COVID-19",
keywords="United Kingdom",
keywords="pandemic",
keywords="feasibility",
keywords="effective",
keywords="telehealth",
doi="10.2196/21609",
url="http://www.jmir.org/2020/8/e21609/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32716898"
}


@Article{info:doi/10.2196/18109,
author="Jimenez, Geronimo
and Tyagi, Shilpa
and Osman, Tarig
and Spinazze, Pier
and van der Kleij, Rianne
and Chavannes, H. Niels
and Car, Josip",
title="Improving the Primary Care Consultation for Diabetes and Depression Through Digital Medical Interview Assistant Systems: Narrative Review",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="28",
volume="22",
number="8",
pages="e18109",
keywords="digital medical interview assistant, computer-assisted history taking",
keywords="primary care",
keywords="chronic conditions",
abstract="Background: Digital medical interview assistant (DMIA) systems, also known as computer-assisted history taking (CAHT)  systems, have the potential to improve the quality of care and the medical consultation by exploring more patient-related aspects without time constraints and, therefore, acquiring more and better-quality information prior to the face-to-face consultation. The consultation in primary care is the broadest in terms of the amount of topics to be covered and, at the same time, the shortest in terms of time spent with the patient. Objective: Our aim is to explore how DMIA systems may be used specifically in the context of primary care, to improve the consultations for diabetes and depression, as exemplars of chronic conditions. Methods: A narrative review was conducted focusing on (1) the characteristics of the primary care consultation in general, and for diabetes and depression specifically, and (2) the impact of DMIA and CAHT systems on the medical consultation. Through thematic analysis, we identified the characteristics of the primary care consultation that a DMIA system would be able to improve. Based on the identified primary care consultation tasks and the potential benefits of DMIA systems, we developed a sample questionnaire for diabetes and depression to illustrate how such a system may work. Results: A DMIA system, prior to the first consultation, could aid in the essential primary care tasks of case finding and screening, diagnosing, and, if needed, timely referral to specialists or urgent care. Similarly, for follow-up consultations, this system could aid with the control and monitoring of these conditions, help check for additional health issues, and update the primary care provider about visits to other providers or further testing. Successfully implementing a DMIA system for these tasks would improve the quality of the data obtained, which means earlier diagnosis and treatment. Such a system would improve the use of face-to-face consultation time, thereby streamlining the interaction and allowing the focus to be the patient's needs, which ultimately would lead to better health outcomes and patient satisfaction. However, for such a system to be successfully incorporated, there are important considerations to be taken into account, such as the language to be used and the challenges for implementing eHealth innovations in primary care and health care in general. Conclusions: Given the benefits explored here, we foresee that DMIA systems could have an important impact in the primary care consultation for diabetes and depression and, potentially, for other chronic conditions. Earlier case finding and a more accurate diagnosis, due to more and better-quality data, paired with improved monitoring of disease progress should improve the quality of care and keep the management of chronic conditions at the primary care level. A somewhat simple, easily scalable technology could go a long way to improve the health of the millions of people affected with chronic conditions, especially if working in conjunction with already-established health technologies such as electronic medical records and clinical decision support systems. ",
doi="10.2196/18109",
url="http://www.jmir.org/2020/8/e18109/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32663144"
}


@Article{info:doi/10.2196/21345,
author="Bendtsen, Marcus",
title="The P Value Line Dance: When Does the Music Stop?",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="27",
volume="22",
number="8",
pages="e21345",
keywords="sample size",
keywords="randomized controlled trial",
keywords="Bayesian analysis",
keywords="P value",
keywords="dichotomization",
keywords="dichotomy",
keywords="error",
keywords="uncertainty",
doi="10.2196/21345",
url="http://www.jmir.org/2020/8/e21345/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32852275"
}


@Article{info:doi/10.2196/22417,
author="Nemetz, Anne Elisheva Tamar
and Urbach, Robert David
and Devon, Michelle Karen",
title="The Art of Surgery: Balancing Compassionate With Virtual Care",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="27",
volume="22",
number="8",
pages="e22417",
keywords="bioethics",
keywords="medical ethics",
keywords="virtual care",
keywords="telehealth",
keywords="virtual care in surgery",
keywords="video care in surgery",
keywords="telehealth in surgery",
keywords="surgical communication",
keywords="COVID-19 and virtual care",
keywords="consent",
keywords="privacy",
keywords="medical education",
keywords="surgery",
doi="10.2196/22417",
url="http://www.jmir.org/2020/8/e22417/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32852276"
}


@Article{info:doi/10.2196/18150,
author="Kardas, Przemyslaw
and Aguilar-Palacio, Isabel
and Almada, Marta
and Cahir, Caitriona
and Costa, Elisio
and Giardini, Anna
and Malo, Sara
and Massot Mesquida, Mireia
and Menditto, Enrica
and Mid{\~a}o, Lu{\'i}s
and Parra-Calder{\'o}n, Luis Carlos
and Pepiol Salom, Enrique
and Vrijens, Bernard",
title="The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="27",
volume="22",
number="8",
pages="e18150",
keywords="patient adherence",
keywords="big data",
keywords="metrics",
keywords="consensus",
doi="10.2196/18150",
url="http://www.jmir.org/2020/8/e18150/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32663138"
}


@Article{info:doi/10.2196/19918,
author="Lee, Joon",
title="Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="26",
volume="22",
number="8",
pages="e19918",
keywords="patient outcome prediction",
keywords="artificial intelligence",
keywords="machine learning",
keywords="human-generated predictions",
keywords="human-AI symbiosis",
doi="10.2196/19918",
url="http://www.jmir.org/2020/8/e19918/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32845249"
}


@Article{info:doi/10.2196/20368,
author="Schaub, Patrick Michael
and Berman, H. Anne
and L{\'o}pez Pelayo, Hugo
and Boumparis, Nikolaos
and Khadjesari, Zarnie
and Blankers, Matthijs
and Gual, Antoni
and Riper, Heleen
and Pas, Lodewijk",
title="e-INEBRIA Special Interest Group Roadmap for Best Practices for Research on Brief Digital Interventions for Problematic Alcohol and Illicit Drug Use",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="14",
volume="22",
number="8",
pages="e20368",
keywords="brief interventions",
keywords="mobile applications",
keywords="good practice",
keywords="implementation research",
keywords="quality assurance",
doi="10.2196/20368",
url="http://www.jmir.org/2020/8/e20368/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32586786"
}


@Article{info:doi/10.2196/18183,
author="Saleh, Shadi
and El Arnaout, Nour
and Abdouni, Lina
and Jammoul, Zeinab
and Hachach, Noha
and Dasgupta, Amlan",
title="Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="13",
volume="22",
number="8",
pages="e18183",
keywords="eHealth",
keywords="digital health",
keywords="innovation",
keywords="refugees",
keywords="low- and middle-income countries",
keywords="technology",
doi="10.2196/18183",
url="http://www.jmir.org/2020/8/e18183/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32788145"
}


@Article{info:doi/10.2196/20169,
author="Cresswell, Kathrin
and Ramalingam, Sandeep
and Sheikh, Aziz",
title="Can Robots Improve Testing Capacity for SARS-CoV-2?",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="12",
volume="22",
number="8",
pages="e20169",
keywords="robotics",
keywords="testing",
keywords="SARS-CoV-2",
keywords="COVID-19",
keywords="pandemic",
keywords="virus",
keywords="infectious disease",
doi="10.2196/20169",
url="http://www.jmir.org/2020/8/e20169/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32735547"
}


@Article{info:doi/10.2196/18044,
author="Cahan, M. Eli
and Khatri, Purvesh",
title="Data Heterogeneity: The Enzyme to Catalyze Translational Bioinformatics?",
journal="J Med Internet Res",
year="2020",
month="Aug",
day="12",
volume="22",
number="8",
pages="e18044",
keywords="medical Informatics",
keywords="health equity",
keywords="health care disparities",
keywords="population health",
keywords="quality improvement",
keywords="precision medicine",
doi="10.2196/18044",
url="https://www.jmir.org/2020/8/e18044",
url="http://www.ncbi.nlm.nih.gov/pubmed/32784182"
}


@Article{info:doi/10.2196/17987,
author="Steele Gray, Carolyn",
title="Seeking Meaningful Innovation: Lessons Learned Developing, Evaluating, and Implementing the Electronic Patient-Reported Outcome Tool",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="29",
volume="22",
number="7",
pages="e17987",
keywords="digital health",
keywords="implementation",
keywords="meaningfulness",
doi="10.2196/17987",
url="http://www.jmir.org/2020/7/e17987/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32723725"
}


@Article{info:doi/10.2196/18087,
author="Suver, Christine
and Thorogood, Adrian
and Doerr, Megan
and Wilbanks, John
and Knoppers, Bartha",
title="Bringing Code to Data: Do Not Forget Governance",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="28",
volume="22",
number="7",
pages="e18087",
keywords="data management",
keywords="privacy",
keywords="ethics, research",
keywords="data science",
keywords="machine learning",
doi="10.2196/18087",
url="http://www.jmir.org/2020/7/e18087/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32540846"
}


@Article{info:doi/10.2196/16337,
author="Panzarasa, Pietro
and Griffiths, J. Christopher
and Sastry, Nishanth
and De Simoni, Anna",
title="Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="28",
volume="22",
number="7",
pages="e16337",
keywords="online health communities",
keywords="self-care",
keywords="social networks",
keywords="social capital",
keywords="open and closed structures",
keywords="social cohesion",
keywords="brokerage",
doi="10.2196/16337",
url="http://www.jmir.org/2020/7/e16337/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32720910"
}


@Article{info:doi/10.2196/17493,
author="Taylor, Barr C.
and Ruzek, I. Josef
and Fitzsimmons-Craft, E. Ellen
and Sadeh-Sharvit, Shiri
and Topooco, Naira
and Weissman, Striegel Ruth
and Eisenberg, Daniel
and Mohr, David
and Graham, Andrea
and Jacobi, Corinna
and Oldenburg, Brian",
title="Using Digital Technology to Reduce the Prevalence of Mental Health Disorders in Populations: Time for a New Approach",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="24",
volume="22",
number="7",
pages="e17493",
keywords="internet",
keywords="mental health, interventions",
keywords="outcome",
keywords="prevalence",
doi="10.2196/17493",
url="https://www.jmir.org/2020/7/e17493",
url="http://www.ncbi.nlm.nih.gov/pubmed/32706665"
}


@Article{info:doi/10.2196/14958,
author="Weerdmeester, Joanneke
and van Rooij, MJW Marieke
and Engels, CME Rutger
and Granic, Isabela",
title="An Integrative Model for the Effectiveness of Biofeedback Interventions for Anxiety Regulation: Viewpoint",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="23",
volume="22",
number="7",
pages="e14958",
keywords="biofeedback",
keywords="neurofeedback",
keywords="anxiety",
keywords="appraisal",
keywords="mechanisms",
keywords="mental health",
keywords="eHealth",
keywords="video games",
keywords="wearable technology",
keywords="review",
keywords="mobile phone",
doi="10.2196/14958",
url="https://www.jmir.org/2020/7/e14958",
url="http://www.ncbi.nlm.nih.gov/pubmed/32706654"
}


@Article{info:doi/10.2196/19916,
author="Wu, Huailiang
and Sun, Weiwei
and Huang, Xinyu
and Yu, Shinning
and Wang, Hao
and Bi, Xiaoyu
and Sheng, Jie
and Chen, Sihan
and Akinwunmi, Babatunde
and Zhang, P. Casper J.
and Ming, Wai-Kit",
title="Online Antenatal Care During the COVID-19 Pandemic: Opportunities and Challenges",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="22",
volume="22",
number="7",
pages="e19916",
keywords="coronavirus disease",
keywords="COVID-19",
keywords="SARS-CoV-2",
keywords="online prenatal education",
keywords="pregnancy",
keywords="online education",
keywords="antenatal",
keywords="telehealth",
keywords="convenience",
keywords="inequality",
doi="10.2196/19916",
url="http://www.jmir.org/2020/7/e19916/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32658860"
}


@Article{info:doi/10.2196/20469,
author="He, Shuhan
and Ojo, Ayotomiwa
and Beckman, L. Adam
and Gondi, Suhas
and Ranney, Megan
and Betz, Marian
and Faust, S. Jeremy
and Choo, Esther
and Kass, Dara
and Raja, S. Ali",
title="The Story of \#GetMePPE and GetUsPPE.org to Mobilize Health Care Response to COVID-19 : Rapidly Deploying Digital Tools for Better Health Care",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="20",
volume="22",
number="7",
pages="e20469",
keywords="digital health",
keywords="getusppe",
keywords="getmeppe",
keywords="COVID-19",
keywords="personal protective equipment",
keywords="protection",
keywords="Twitter",
keywords="pandemic",
keywords="health care worker",
doi="10.2196/20469",
url="https://www.jmir.org/2020/7/e20469",
url="http://www.ncbi.nlm.nih.gov/pubmed/32530813"
}


@Article{info:doi/10.2196/19667,
author="Iancu, Magen Ariella
and Kemp, Thomas Michael
and Alam, Badre Hasan",
title="Unmuting Medical Students' Education: Utilizing Telemedicine During the COVID-19 Pandemic and Beyond",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="20",
volume="22",
number="7",
pages="e19667",
keywords="telemedicine",
keywords="medical education",
keywords="medical school",
keywords="COVID-19",
keywords="education, medical, undergraduate",
keywords="curriculum",
doi="10.2196/19667",
url="http://www.jmir.org/2020/7/e19667/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32614776"
}


@Article{info:doi/10.2196/18919,
author="Bashir, Ayisha",
title="Stroke and Telerehabilitation: A Brief Communication",
journal="JMIR Rehabil Assist Technol",
year="2020",
month="Jul",
day="17",
volume="7",
number="2",
pages="e18919",
keywords="telerehabilitation",
keywords="rehabilitation",
keywords="nursing",
keywords="stroke",
keywords="telehealth",
doi="10.2196/18919",
url="https://rehab.jmir.org/2020/2/e18919",
url="http://www.ncbi.nlm.nih.gov/pubmed/32706739"
}


@Article{info:doi/10.2196/18225,
author="Rouleau, Genevi{\`e}ve
and Pelletier, J{\'e}r{\^o}me
and C{\^o}t{\'e}, Jos{\'e}
and Gagnon, Marie-Pierre
and Martel-Laferri{\`e}re, Val{\'e}rie
and L{\'e}vesque, Rock
and 
and Fontaine, Guillaume",
title="Codeveloping a Virtual Patient Simulation to Foster Nurses' Relational Skills Consistent With Motivational Interviewing: A Situation of Antiretroviral Therapy Nonadherence",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="15",
volume="22",
number="7",
pages="e18225",
keywords="motivational interviewing",
keywords="HIV",
keywords="nurses",
keywords="education, continuing",
keywords="virtual patient",
keywords="simulation",
keywords="nurse-patient relations",
keywords="communication",
abstract="Background: Although helping people living with HIV manage their antiretroviral therapy is a core competency of HIV nursing care, no educational intervention has sought to strengthen this competency. Thus, we codeveloped a simulation of a virtual patient (VP) having difficulty adhering to treatment to foster the relational skills that nurses require in such situations. Objective: This viewpoint paper aims to describe the codevelopment process and the content of VP simulation, as well as the challenges encountered and the strategies used to overcome them. Methods: We use a collaborative and iterative approach to develop the simulation based on qualitative evidence, theoretical approaches (strengths-based nursing, motivational interviewing [MI], and adult learning theories), and expert recommendations. We carried out 2 main phases: (1) planning the simulation development and (2) designing the simulation content, sequence, and format. We created the script as if we were writing a choose-your-own-adventure book. All relational skills (behavior change counseling techniques derived from MI) were integrated into a nurse-patient dialogue. The logic of the simulation is as follows: if the nurse uses techniques consistent with MI (eg, open-ended questions, summarizing), a dialogue is opened up with the VP. If the nurse uses relational skills inconsistent with MI (eg, providing advice without asking for permission), the VP will react accordingly (eg, defensively). Learners have opportunities to assess and reflect on their interventions with the help of quizzes and feedback loops. Results: Two main challenges are discussed. The most salient challenge was related to the second phase of the VP simulation development. The first was to start the project with divergent conceptions of how to approach the VP simulation---the simulation company's perspective of a procedural-type approach versus the clinical team's vision of a narrative approach. As a broad strategy, we came to a mutual understanding to develop a narrative-type VP simulation. It meshed with our conception of a nurse-patient relationship, the values of strengths-based nursing (a collaborative nurse-patient relationship), and the MI's counseling style. The second challenge was the complexity in designing realistic relational skills in preprogrammed and simulated nurse-patient dialogue while preserving an immersive learning experience. As a broad strategy, we created a collaborative and work-in-progress writing template as a shared working tool. Conclusions: Our experience may be helpful to anyone looking for practical cues and guidance in developing narrative VP simulations. As relational skills are used by all nurses---from novices to experts---and other health care practitioners, focusing on this clinical behavior is a good way to ensure the simulation's adaptability, sustainability, and efficiency. ",
doi="10.2196/18225",
url="http://www.jmir.org/2020/7/e18225/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32672679"
}


@Article{info:doi/10.2196/16916,
author="Twomey, B. Michael
and Sammon, David
and Nagle, Tadhg",
title="The Tango of Problem Formulation: A Patient's/Researcher's Reflection on an Action Design Research Journey",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="14",
volume="22",
number="7",
pages="e16916",
keywords="action design research",
keywords="patient",
keywords="reflection",
keywords="problem formulation",
keywords="checklist",
keywords="cystic fibrosis",
doi="10.2196/16916",
url="https://www.jmir.org/2020/7/e16916",
url="http://www.ncbi.nlm.nih.gov/pubmed/32285802"
}


@Article{info:doi/10.2196/17199,
author="El-Gazzar, Rania
and Stendal, Karen",
title="Blockchain in Health Care: Hope or Hype?",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="10",
volume="22",
number="7",
pages="e17199",
keywords="blockchain",
keywords="health care",
keywords="innovation",
keywords="security",
keywords="implications",
doi="10.2196/17199",
url="http://www.jmir.org/2020/7/e17199/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32673219"
}


@Article{info:doi/10.2196/17707,
author="Alami, Hassane
and Lehoux, Pascale
and Auclair, Yannick
and de Guise, Mich{\`e}le
and Gagnon, Marie-Pierre
and Shaw, James
and Roy, Denis
and Fleet, Richard
and Ag Ahmed, Ali Mohamed
and Fortin, Jean-Paul",
title="Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="7",
volume="22",
number="7",
pages="e17707",
keywords="artificial intelligence",
keywords="health technology assessment",
keywords="eHealth",
keywords="health care",
keywords="medical device",
keywords="patient",
keywords="health services",
doi="10.2196/17707",
url="https://www.jmir.org/2020/7/e17707",
url="http://www.ncbi.nlm.nih.gov/pubmed/32406850"
}


@Article{info:doi/10.2196/14267,
author="Daus, Henning
and Bloecher, Timon
and Egeler, Ronny
and De Klerk, Richard
and Stork, Wilhelm
and Backenstrass, Matthias",
title="Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder",
journal="JMIR Ment Health",
year="2020",
month="Jul",
day="3",
volume="7",
number="7",
pages="e14267",
keywords="bipolar disorder",
keywords="mood recognition",
keywords="emotion recognition",
keywords="monitoring",
keywords="mobile apps",
keywords="assistance system",
keywords="mHealth",
doi="10.2196/14267",
url="https://mental.jmir.org/2020/7/e14267",
url="http://www.ncbi.nlm.nih.gov/pubmed/32618577"
}


@Article{info:doi/10.2196/18831,
author="Xu, Chenjie
and Zhang, Xinyu
and Wang, Yaogang",
title="Mapping of Health Literacy and Social Panic Via Web Search Data During the COVID-19 Public Health Emergency: Infodemiological Study",
journal="J Med Internet Res",
year="2020",
month="Jul",
day="2",
volume="22",
number="7",
pages="e18831",
keywords="COVID-19",
keywords="China",
keywords="Baidu",
keywords="infodemiology",
keywords="web search",
keywords="internet",
keywords="public health",
keywords="emergency",
keywords="outbreak",
keywords="infectious disease",
keywords="pandemic",
keywords="health literacy",
abstract="Background: Coronavirus disease (COVID-19) is a type of pneumonia caused by a novel coronavirus that was discovered in 2019. As of May 6, 2020, 84,407 cases and 4643 deaths have been confirmed in China. The Chinese population has expressed great concern since the COVID-19 outbreak. Meanwhile, an average of 1 billion people per day are using the Baidu search engine to find COVID-19--related health information. Objective: The aim of this paper is to analyze web search data volumes related to COVID-19 in China. Methods: We conducted an infodemiological study to analyze web search data volumes related to COVID-19. Using Baidu Index data, we assessed the search frequencies of specific search terms in Baidu to describe the impact of COVID-19 on public health, psychology, behaviors, lifestyles, and social policies (from February 11, 2020, to March 17, 2020). Results: The search frequency related to COVID-19 has increased significantly since February 11th. Our heat maps demonstrate that citizens in Wuhan, Hubei Province, express more concern about COVID-19 than citizens from other cities since the outbreak first occurred in Wuhan. Wuhan citizens frequently searched for content related to ``medical help,'' ``protective materials,'' and ``pandemic progress.'' Web searches for ``return to work'' and ``go back to school'' have increased eight-fold compared to the previous month. Searches for content related to ``closed community and remote office'' have continued to rise, and searches for ``remote office demand'' have risen by 663\% from the previous quarter. Employees who have returned to work have mainly engaged in the following web searches: ``return to work and prevention measures,'' ``return to work guarantee policy,'' and ``time to return to work.'' Provinces with large, educated populations (eg, Henan, Hebei, and Shandong) have been focusing on ``online education'' whereas medium-sized cities have been paying more attention to ``online medical care.'' Conclusions: Our findings suggest that web search data may reflect changes in health literacy, social panic, and prevention and control policies in response to COVID-19. ",
doi="10.2196/18831",
url="https://www.jmir.org/2020/7/e18831",
url="http://www.ncbi.nlm.nih.gov/pubmed/32540844"
}


@Article{info:doi/10.2196/15563,
author="Young, D. Sean",
title="The Adaptive Behavioral Components (ABC) Model for Planning Longitudinal Behavioral Technology-Based Health Interventions: A Theoretical Framework",
journal="J Med Internet Res",
year="2020",
month="Jun",
day="26",
volume="22",
number="6",
pages="e15563",
keywords="health behavior",
keywords="risk behavior",
keywords="behavioral medicine",
keywords="public health informatics",
keywords="consumer health informatics",
keywords="psychological theory",
doi="10.2196/15563",
url="https://www.jmir.org/2020/6/e15563",
url="http://www.ncbi.nlm.nih.gov/pubmed/32589152"
}


@Article{info:doi/10.2196/20049,
author="Badawy, M. Sherif
and Radovic, Ana",
title="Digital Approaches to Remote Pediatric Health Care Delivery During the COVID-19 Pandemic: Existing Evidence and a Call for Further Research",
journal="JMIR Pediatr Parent",
year="2020",
month="Jun",
day="25",
volume="3",
number="1",
pages="e20049",
keywords="coronavirus",
keywords="COVID-19",
keywords="SARS-CoV-2",
keywords="pandemic",
keywords="outbreak",
keywords="public health",
keywords="pediatric",
keywords="children",
keywords="adolescents",
keywords="telehealth",
keywords="telemedicine",
keywords="digital",
keywords="interventions",
keywords="digital health",
keywords="digital medicine",
keywords="mobile health",
keywords="mHealth",
keywords="eHealth",
keywords="health care delivery",
doi="10.2196/20049",
url="http://pediatrics.jmir.org/2020/1/e20049/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32540841"
}


@Article{info:doi/10.2196/16922,
author="Musacchio, Nicoletta
and Giancaterini, Annalisa
and Guaita, Giacomo
and Ozzello, Alessandro
and Pellegrini, A. Maria
and Ponzani, Paola
and Russo, T. Giuseppina
and Zilich, Rita
and de Micheli, Alberto",
title="Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists",
journal="J Med Internet Res",
year="2020",
month="Jun",
day="22",
volume="22",
number="6",
pages="e16922",
keywords="artificial intelligence",
keywords="big data analytics",
keywords="clinical decision making",
keywords="diabetes management",
keywords="health care",
doi="10.2196/16922",
url="http://www.jmir.org/2020/6/e16922/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32568088"
}


@Article{info:doi/10.2196/15154,
author="Asan, Onur
and Bayrak, Emrah Alparslan
and Choudhury, Avishek",
title="Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians",
journal="J Med Internet Res",
year="2020",
month="Jun",
day="19",
volume="22",
number="6",
pages="e15154",
keywords="human-AI collaboration",
keywords="trust",
keywords="technology adoption",
keywords="FDA policy",
keywords="bias",
keywords="health care",
doi="10.2196/15154",
url="http://www.jmir.org/2020/6/e15154/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32558657"
}


@Article{info:doi/10.2196/15619,
author="Khazen, Wael
and Jeanne, Jean-Fran{\c{c}}ois
and Demaretz, La{\"e}titia
and Sch{\"a}fer, Florent
and Fagherazzi, Guy",
title="Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research",
journal="J Med Internet Res",
year="2020",
month="Jun",
day="18",
volume="22",
number="6",
pages="e15619",
keywords="diet",
keywords="dietary assessment",
keywords="epidemiology",
keywords="clinical research",
keywords="mobile diet app",
keywords="academic apps",
keywords="consumer-grade apps",
doi="10.2196/15619",
url="https://www.jmir.org/2020/6/e15619",
url="http://www.ncbi.nlm.nih.gov/pubmed/32554383"
}


@Article{info:doi/10.2196/19930,
author="Sakib, Nazmus Mohammad
and Butt, A. Zahid
and Morita, Pelegrini Plinio
and Oremus, Mark
and Fong, T. Geoffrey
and Hall, A. Peter",
title="Considerations for an Individual-Level Population Notification System for Pandemic Response: A Review and Prototype",
journal="J Med Internet Res",
year="2020",
month="Jun",
day="5",
volume="22",
number="6",
pages="e19930",
keywords="pandemic",
keywords="epidemic",
keywords="notification system",
keywords="hygiene",
keywords="physical distancing",
keywords="lockdown",
keywords="mobile technology",
keywords="COVID-19",
keywords="coronavirus",
doi="10.2196/19930",
url="http://www.jmir.org/2020/6/e19930/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32484443"
}


@Article{info:doi/10.2196/19361,
author="Crawford, Allison
and Serhal, Eva",
title="Digital Health Equity and COVID-19: The Innovation Curve Cannot Reinforce the Social Gradient of Health",
journal="J Med Internet Res",
year="2020",
month="Jun",
day="2",
volume="22",
number="6",
pages="e19361",
keywords="virtual health",
keywords="digital determinants of health",
keywords="digital health equity",
keywords="digital health",
keywords="equity",
keywords="COVID-19",
keywords="public health",
keywords="eHealth",
keywords="social",
doi="10.2196/19361",
url="https://www.jmir.org/2020/6/e19361",
url="http://www.ncbi.nlm.nih.gov/pubmed/32452816"
}


@Article{info:doi/10.2196/16879,
author="Schneble, Olivier Christophe
and Elger, Simone Bernice
and Shaw, Martin David",
title="All Our Data Will Be Health Data One Day: The Need for Universal Data Protection and Comprehensive Consent",
journal="J Med Internet Res",
year="2020",
month="May",
day="28",
volume="22",
number="5",
pages="e16879",
keywords="big data",
keywords="health data",
keywords="social media",
keywords="data protection",
keywords="guidelines",
keywords="best practices",
doi="10.2196/16879",
url="http://www.jmir.org/2020/5/e16879/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32463372"
}


@Article{info:doi/10.2196/19199,
author="Rogosnitzky, Moshe
and Berkowitz, Esther
and Jadad, R. Alejandro",
title="Delivering Benefits at Speed Through Real-World Repurposing of Off-Patent Drugs: The COVID-19 Pandemic as a Case in Point",
journal="JMIR Public Health Surveill",
year="2020",
month="May",
day="13",
volume="6",
number="2",
pages="e19199",
keywords="COVID-19",
keywords="drug costs",
keywords="drug repositioning",
keywords="drugs, generic",
keywords="off-label use",
keywords="public health",
keywords="severe acute respiratory syndrome coronavirus 2",
keywords="pandemic",
keywords="crisis",
doi="10.2196/19199",
url="http://publichealth.jmir.org/2020/2/e19199/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32374264"
}


@Article{info:doi/10.2196/16386,
author="Brown, Theresa
and Nauman Vogel, Emily
and Adler, Sarah
and Bohon, Cara
and Bullock, Kim
and Nameth, Katherine
and Riva, Giuseppe
and Safer, L. Debra
and Runfola, D. Cristin",
title="Bringing Virtual Reality From Clinical Trials to Clinical Practice for the Treatment of Eating Disorders: An Example Using Virtual Reality Cue Exposure Therapy",
journal="J Med Internet Res",
year="2020",
month="Apr",
day="23",
volume="22",
number="4",
pages="e16386",
keywords="virtual reality",
keywords="exposure therapy",
keywords="eating disorders",
keywords="translational research",
keywords="technological innovation",
doi="10.2196/16386",
url="http://www.jmir.org/2020/4/e16386/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32324145"
}


@Article{info:doi/10.2196/18980,
author="Mahmood, Sultan
and Hasan, Khaled
and Colder Carras, Michelle
and Labrique, Alain",
title="Global Preparedness Against COVID-19: We Must Leverage the Power of Digital Health",
journal="JMIR Public Health Surveill",
year="2020",
month="Apr",
day="16",
volume="6",
number="2",
pages="e18980",
keywords="informatics",
keywords="global health",
keywords="developing countries",
keywords="internet",
keywords="infection",
keywords="control",
keywords="COVID-19",
keywords="pandemic",
doi="10.2196/18980",
url="http://publichealth.jmir.org/2020/2/e18980/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32297868"
}


@Article{info:doi/10.2196/16101,
author="Hodges, William Paul
and Setchell, Jenny
and Nielsen, Mandy",
title="An Internet-Based Consumer Resource for People with Low Back Pain (MyBackPain): Development and Evaluation",
journal="JMIR Rehabil Assist Technol",
year="2020",
month="Mar",
day="31",
volume="7",
number="1",
pages="e16101",
keywords="back pain",
keywords="patient education",
keywords="patient internet portals",
keywords="evidence-based health care",
keywords="patient involvement",
keywords="service user involvement",
doi="10.2196/16101",
url="http://rehab.jmir.org/2020/1/e16101/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32229467"
}


@Article{info:doi/10.2196/17612,
author="Tully, Jeffrey
and Coravos, Andrea
and Doerr, Megan
and Dameff, Christian",
title="Connected Medical Technology and Cybersecurity Informed Consent: A New Paradigm",
journal="J Med Internet Res",
year="2020",
month="Mar",
day="30",
volume="22",
number="3",
pages="e17612",
keywords="connected medical technology",
keywords="cybersecurity",
keywords="informed consent",
keywords="privacy",
keywords="patient autonomy",
keywords="digital health",
keywords="medical devices",
keywords="ethics",
abstract="Background: Connected medical technology is increasingly prevalent and offers both a host of new therapeutic potentials and cybersecurity-related considerations. Current practice largely does not include discussions of cybersecurity issues when clinicians obtain informed consent. Objective: This paper aims to raise awareness about cybersecurity considerations for connected medical technology as they relate to informed consent discussions between patients and clinicians. Methods: Clinicians, health care cybersecurity researchers, and informed consent experts propose the concept of a cybersecurity informed consent for connected medical technology. Results: This viewpoint discusses concepts designed to facilitate further discussion on the need, development, and execution of cybersecurity informed consent. Conclusions: Cybersecurity informed consent may be a necessary component of informed consent practices, as connected medical technology proliferates in the health care environment. ",
doi="10.2196/17612",
url="http://www.jmir.org/2020/3/e17612/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32224492"
}


@Article{info:doi/10.2196/16770,
author="Fagherazzi, Guy",
title="Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper",
journal="J Med Internet Res",
year="2020",
month="Mar",
day="3",
volume="22",
number="3",
pages="e16770",
keywords="digital health",
keywords="digital epidemiology",
keywords="deep digital phenotyping",
keywords="digital orthodoxy",
keywords="precision medicine",
keywords="precision health",
keywords="personalized medicine",
keywords="digital phenotyping",
keywords="precision prevention",
keywords="big data",
keywords="omics",
keywords="digitosome",
keywords="data lake",
keywords="digital cohort",
doi="10.2196/16770",
url="https://www.jmir.org/2020/3/e16770",
url="http://www.ncbi.nlm.nih.gov/pubmed/32130138"
}


@Article{info:doi/10.2196/14202,
author="Sezgin, Emre
and Noritz, Garey
and Elek, Alexander
and Conkol, Kimberly
and Rust, Steve
and Bailey, Matthew
and Strouse, Robert
and Chandawarkar, Aarti
and von Sadovszky, Victoria
and Lin, Simon
and Huang, Yungui",
title="Capturing At-Home Health and Care Information for Children With Medical Complexity Using Voice Interactive Technologies: Multi-Stakeholder Viewpoint",
journal="J Med Internet Res",
year="2020",
month="Feb",
day="13",
volume="22",
number="2",
pages="e14202",
keywords="care coordination",
keywords="self-management",
keywords="children with medical complexity",
keywords="voice technology",
keywords="voice assistant",
keywords="digital health",
keywords="conversational agents",
doi="10.2196/14202",
url="https://www.jmir.org/2020/2/e14202",
url="http://www.ncbi.nlm.nih.gov/pubmed/32053114"
}


@Article{info:doi/10.2196/15529,
author="Griffioen, Nastasia
and Van Rooij, W. Marieke M. J.
and Lichtwarck-Aschoff, Anna
and Granic, Isabela",
title="A Stimulated Recall Method for the Improved Assessment of Quantity and Quality of Social Media Use",
journal="J Med Internet Res",
year="2020",
month="Jan",
day="28",
volume="22",
number="1",
pages="e15529",
keywords="technology use",
keywords="stimulated recall",
keywords="social media",
keywords="well-being",
keywords="qualitative research",
keywords="interview",
keywords="digital technologies",
abstract="Background: Social media are as popular as ever, and concerns regarding the effects of social media use on adolescent well-being and mental health have sparked many scientific studies into use effects. Social media research is currently at an important crossroads: conflicting results on social media use's effects on well-being are abundant, and recent work in the field suggests that a new approach is required. The field is in need of an approach involving objective data regarding use where necessary and attention to different kinds of detail such as the why and how of social media use. Objective: We present a novel paradigm implementing a principle from educational sciences called stimulated recall and demonstrate how it can be applied to social media use research. Our stimulated recall paradigm implements a number of elements that can fill the gaps currently present in social media and well-being research. Methods: Objective data are collected regarding users' social media behaviors through video footage and in-phone data and used for a structured stimulated recall interview to facilitate detailed and context-sensitive processing of these objective data. In this interview, objective data are reviewed with the participant in an act of co-research, in which details such as the reasons for their use (eg, boredom) and processes surrounding their use (eg, with whom) are discussed and visualized in a stimulated recall chart. Results: Our ongoing study (N=53) implementing this paradigm suggests this method is experienced as pleasant by participants in spite of its personal and intensive nature. Conclusions: The stimulated recall paradigm offers interesting and necessary avenues for approaching social media use research from new angles, addressing aspects of use that have thus far remained underexposed. The answers to questions such as ``Why do adolescents use social media?'' ``In what ways exactly do they use social media?'' and ``How does social media use make them feel in the moment?'' are now within reach, an important step forward in the field of social media use and well-being research. ",
doi="10.2196/15529",
url="https://www.jmir.org/2020/1/e15529",
url="http://www.ncbi.nlm.nih.gov/pubmed/32012075"
}


@Article{info:doi/10.2196/15188,
author="Goodday, M. Sarah
and Atkinson, Lauren
and Goodwin, Guy
and Saunders, Kate
and South, Matthew
and Mackay, Clare
and Denis, Mike
and Hinds, Chris
and Attenburrow, Mary-Jane
and Davies, Jim
and Welch, James
and Stevens, William
and Mansfield, Karen
and Suvilehto, Juulia
and Geddes, John",
title="The True Colours Remote Symptom Monitoring System: A Decade of Evolution",
journal="J Med Internet Res",
year="2020",
month="Jan",
day="15",
volume="22",
number="1",
pages="e15188",
keywords="symptom assessment",
keywords="signs and symptoms",
keywords="digital health",
keywords="ecological momentary assessment",
keywords="mood disorders",
doi="10.2196/15188",
url="https://www.jmir.org/2020/1/e15188",
url="http://www.ncbi.nlm.nih.gov/pubmed/31939746"
}


@Article{info:doi/10.2196/15603,
author="Bacon, Seb
and Goldacre, Ben",
title="Barriers to Working With National Health Service England's Open Data",
journal="J Med Internet Res",
year="2020",
month="Jan",
day="13",
volume="22",
number="1",
pages="e15603",
keywords="informatics",
keywords="health services",
keywords="software",
keywords="access to information",
doi="10.2196/15603",
url="https://www.jmir.org/2020/1/e15603",
url="http://www.ncbi.nlm.nih.gov/pubmed/31929101"
}


@Article{info:doi/10.2196/16377,
author="Lee, J. Edmund W.
and Viswanath, Kasisomayajula",
title="Big Data in Context: Addressing the Twin Perils of Data Absenteeism and Chauvinism in the Context of Health Disparities Research",
journal="J Med Internet Res",
year="2020",
month="Jan",
day="7",
volume="22",
number="1",
pages="e16377",
keywords="big data",
keywords="artificial intelligence",
keywords="health informatics",
keywords="wearable electronic devices",
keywords="mobile health",
keywords="social media",
keywords="electronic health records",
keywords="digital divide",
keywords="health disparities",
doi="10.2196/16377",
url="https://www.jmir.org/2020/1/e16377",
url="http://www.ncbi.nlm.nih.gov/pubmed/31909724"
}


@Article{info:doi/10.2196/15582,
author="Persky, Susan",
title="A Virtual Home for the Virtual Clinical Trial",
journal="J Med Internet Res",
year="2020",
month="Jan",
day="3",
volume="22",
number="1",
pages="e15582",
keywords="virtual reality",
keywords="virtual clinical trials",
keywords="eHealth",
doi="10.2196/15582",
url="https://www.jmir.org/2020/1/e15582",
url="http://www.ncbi.nlm.nih.gov/pubmed/31899455"
}


@Article{info:doi/10.2196/16368,
author="deBronkart, Dave",
title="Open Access as a Revolution: Knowledge Alters Power",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="11",
volume="21",
number="12",
pages="e16368",
keywords="patient engagement",
keywords="empowerment",
keywords="patient empowerment",
keywords="participatory medicine",
keywords="open access",
keywords="patient portals",
keywords="EMRs",
keywords="EHRs",
keywords="Patient-clinician relationship",
doi="10.2196/16368",
url="http://www.jmir.org/2019/12/e16368/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31825321"
}


@Article{info:doi/10.2196/14904,
author="Alshurafa, Nabil
and Lin, Wen Annie
and Zhu, Fengqing
and Ghaffari, Roozbeh
and Hester, Josiah
and Delp, Edward
and Rogers, John
and Spring, Bonnie",
title="Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="4",
volume="21",
number="12",
pages="e14904",
keywords="computer vision systems",
keywords="computing methodologies",
keywords="diet",
keywords="energy intake",
keywords="eating",
keywords="eHealth",
keywords="feeding behavior",
keywords="mHealth",
keywords="nutritional status",
keywords="obesity",
keywords="wearable technology",
abstract="Background: Conventional diet assessment approaches such as the 24-hour self-reported recall are burdensome, suffer from recall bias, and are inaccurate in estimating energy intake. Wearable sensor technology, coupled with advanced algorithms, is increasingly showing promise in its ability to capture behaviors that provide useful information for estimating calorie and macronutrient intake. Objective: This paper aimed to summarize current technological approaches to monitoring energy intake on the basis of expert opinion from a workshop panel and to make recommendations to advance technology and algorithms to improve estimation of energy expenditure. Methods: A 1-day invitational workshop sponsored by the National Science Foundation was held at Northwestern University. A total of 30 participants, including population health researchers, engineers, and intervention developers, from 6 universities and the National Institutes of Health participated in a panel discussing the state of evidence with regard to monitoring calorie intake and eating behaviors. Results: Calorie monitoring using technological approaches can be characterized into 3 domains: (1) image-based sensing (eg, wearable and smartphone-based cameras combined with machine learning algorithms); (2) eating action unit (EAU) sensors (eg, to measure feeding gesture and chewing rate); and (3) biochemical measures (eg, serum and plasma metabolite concentrations). We discussed how each domain functions, provided examples of promising solutions, and highlighted potential challenges and opportunities in each domain. Image-based sensor research requires improved ground truth (context and known information about the foods), accurate food image segmentation and recognition algorithms, and reliable methods of estimating portion size. EAU-based domain research is limited by the understanding of when their systems (device and inference algorithm) succeed and fail, need for privacy-protecting methods of capturing ground truth, and uncertainty in food categorization. Although an exciting novel technology, the challenges of biochemical sensing range from a lack of adaptability to environmental effects (eg, temperature change) and mechanical impact, instability of wearable sensor performance over time, and single-use design. Conclusions: Conventional approaches to calorie monitoring rely predominantly on self-reports. These approaches can gain contextual information from image-based and EAU-based domains that can map automatically captured food images to a food database and detect proxies that correlate with food volume and caloric intake. Although the continued development of advanced machine learning techniques will advance the accuracy of such wearables, biochemical sensing provides an electrochemical analysis of sweat using soft bioelectronics on human skin, enabling noninvasive measures of chemical compounds that provide insight into the digestive and endocrine systems. Future computing-based researchers should focus on reducing the burden of wearable sensors, aligning data across multiple devices, automating methods of data annotation, increasing rigor in studying system acceptability, increasing battery lifetime, and rigorously testing validity of the measure. Such research requires moving promising technological solutions from the controlled laboratory setting to the field. ",
doi="10.2196/14904",
url="https://www.jmir.org/2019/12/e14904",
url="http://www.ncbi.nlm.nih.gov/pubmed/31799938"
}


@Article{info:doi/10.2196/12712,
author="Shull, Germaine Jessica",
title="Digital Health and the State of Interoperable Electronic Health Records",
journal="JMIR Med Inform",
year="2019",
month="Nov",
day="1",
volume="7",
number="4",
pages="e12712",
keywords="EHRs",
keywords="health information technology",
keywords="machine learning in health",
doi="10.2196/12712",
url="http://medinform.jmir.org/2019/4/e12712/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31682583"
}


@Article{info:doi/10.2196/13469,
author="Wu, Huailiang
and Chan, Nga-Kwo
and Zhang, P. Casper J.
and Ming, Wai-Kit",
title="The Role of the Sharing Economy and Artificial Intelligence in Health Care: Opportunities and Challenges",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="15",
volume="21",
number="10",
pages="e13469",
keywords="health care",
keywords="health care system",
keywords="sharing economy",
keywords="artificial intelligence",
doi="10.2196/13469",
url="https://www.jmir.org/2019/10/e13469",
url="http://www.ncbi.nlm.nih.gov/pubmed/31617850"
}


@Article{info:doi/10.2196/14668,
author="Mechael, Patricia
and Kaonga, Nina Nadi
and Chandrasekharan, Subhashini
and Prakash, Perumal Muthu
and Peter, Joanne
and Ganju, Aakash
and Murthy, Nirmala",
title="The Elusive Path Toward Measuring Health Outcomes: Lessons Learned From a Pseudo-Randomized Controlled Trial of a Large-Scale Mobile Health Initiative",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Aug",
day="21",
volume="7",
number="8",
pages="e14668",
keywords="India",
keywords="mHealth",
keywords="maternal health",
keywords="child health",
keywords="research",
doi="10.2196/14668",
url="http://mhealth.jmir.org/2019/8/e14668/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31436165"
}


@Article{info:doi/10.2196/12832,
author="Booth, M. Brandon
and Mundnich, Karel
and Feng, Tiantian
and Nadarajan, Amrutha
and Falk, H. Tiago
and Villatte, L. Jennifer
and Ferrara, Emilio
and Narayanan, Shrikanth",
title="Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management",
journal="J Med Internet Res",
year="2019",
month="Aug",
day="20",
volume="21",
number="8",
pages="e12832",
keywords="research design",
keywords="human activities",
keywords="behavioral research",
keywords="longitudinal studies",
keywords="wearable electronic devices",
keywords="organizational case studies",
keywords="in situ research",
abstract="Background: Recent advances in mobile technologies for sensing human biosignals are empowering researchers to collect real-world data outside of the laboratory, in natural settings where participants can perform their daily activities with minimal disruption. These new sensing opportunities usher a host of challenges and constraints for both researchers and participants. Objective: This viewpoint paper aims to provide a comprehensive guide to aid research teams in the selection and management of sensors before beginning and while conducting human behavior studies in the wild. The guide aims to help researchers achieve satisfactory participant compliance and minimize the number of unexpected procedural outcomes. Methods: This paper presents a collection of challenges, consideration criteria, and potential solutions for enabling researchers to select and manage appropriate sensors for their research studies. It explains a general data collection framework suitable for use with modern consumer sensors, enabling researchers to address many of the described challenges. In addition, it provides a description of the criteria affecting sensor selection, management, and integration that researchers should consider before beginning human behavior studies involving sensors. On the basis of a survey conducted in mid-2018, this paper further illustrates an organized snapshot of consumer-grade human sensing technologies that can be used for human behavior research in natural settings. Results: The research team applied the collection of methods and criteria to a case study aimed at predicting the well-being of nurses and other staff in a hospital. Average daily compliance for sensor usage measured by the presence of data exceeding half the total possible hours each day was about 65\%, yielding over 355,000 hours of usable sensor data across 212 participants. A total of 6 notable unexpected events occurred during the data collection period, all of which had minimal impact on the research project. Conclusions: The satisfactory compliance rates and minimal impact of unexpected events during the case study suggest that the challenges, criteria, methods, and mitigation strategies presented as a guide for researchers are helpful for sensor selection and management in longitudinal human behavior studies in the wild. ",
doi="10.2196/12832",
url="http://www.jmir.org/2019/8/e12832/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31432781"
}


@Article{info:doi/10.2196/13544,
author="Franz, Daschel
and Marsh, Elizabeth Heather
and Chen, I. Jason
and Teo, R. Alan",
title="Using Facebook for Qualitative Research: A Brief Primer",
journal="J Med Internet Res",
year="2019",
month="Aug",
day="13",
volume="21",
number="8",
pages="e13544",
doi="10.2196/13544",
url="http://www.jmir.org/2019/8/e13544/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31411143"
}


@Article{info:doi/10.2196/11672,
author="Fiske, Amelia
and Prainsack, Barbara
and Buyx, Alena",
title="Data Work: Meaning-Making in the Era of Data-Rich Medicine",
journal="J Med Internet Res",
year="2019",
month="Jul",
day="09",
volume="21",
number="7",
pages="e11672",
keywords="big data",
keywords="data work",
keywords="medical informatics",
keywords="internet",
keywords="data interpretation",
keywords="decision support systems",
doi="10.2196/11672",
url="https://www.jmir.org/2019/7/e11672/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31290397"
}


@Article{info:doi/10.2196/13576,
author="Yu, Xiaochu
and Han, Wei
and Jiang, Jingmei
and Wang, Yipeng
and Xin, Shijie
and Wu, Shizheng
and Sun, Hong
and Wang, Zixing
and Zhao, Yupei",
title="Key Issues in the Development of an Evidence-Based Stratified Surgical Patient Safety Improvement Information System: Experience From a Multicenter Surgical Safety Program",
journal="J Med Internet Res",
year="2019",
month="Jun",
day="24",
volume="21",
number="6",
pages="e13576",
keywords="surgery",
keywords="patient safety",
keywords="information system",
keywords="risk factors",
keywords="evidence-based practice",
doi="10.2196/13576",
url="http://www.jmir.org/2019/6/e13576/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31237241"
}


@Article{info:doi/10.2196/13303,
author="Khalili-Mahani, Najmeh
and De Schutter, Bob",
title="Affective Game Planning for Health Applications: Quantitative Extension of Gerontoludic Design Based on the Appraisal Theory of Stress and Coping",
journal="JMIR Serious Games",
year="2019",
month="Jun",
day="06",
volume="7",
number="2",
pages="e13303",
keywords="games",
keywords="user acceptance of health care",
keywords="psychology",
keywords="informatics",
keywords="aging",
keywords="adaptation",
keywords="rehabilitation",
doi="10.2196/13303",
url="http://games.jmir.org/2019/2/e13303/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31172966"
}


@Article{info:doi/10.2196/12382,
author="Schofield, Penelope
and Shaw, Tim
and Pascoe, Michaela",
title="Toward Comprehensive Patient-Centric Care by Integrating Digital Health Technology With Direct Clinical Contact in Australia",
journal="J Med Internet Res",
year="2019",
month="Jun",
day="04",
volume="21",
number="6",
pages="e12382",
keywords="health care",
keywords="health",
keywords="eHealth",
abstract="Background: There is an escalating crisis in health care, locally and internationally. The current health care model is unable to meet the increasing health care demands. Objective: The aim of this study was to reconceptualize the provision of health care to produce better outcomes at no greater cost, by placing individuals in the position of authority to direct their own care, in a personalized, integrated health care system. Methods: In this study, we used the Australian health care system as a model. We reviewed the current landscape of digital health in Australia and discussed how electronic medical records (EMRs) can be further developed into a personalized, integrated health care system. Results: Some components of an EMR and digital health system are already being used in Australia, but the systems are not linked. A personalized, integrated health care model that is responsive to consumer needs requires not just a passive repository of medical information; it would require a team approach, including the government, health care funders, industries, consumers and advocacy groups, health care professionals, community groups, and universities. Conclusions: Implementation of a personalized, integrated health care system can result in reduced pressure on the current health care system, and it can result in the delivery of best-practice health care, regardless of location. Importantly, a personalized, integrated health care system could serve as an education platform, ``upskilling'' not only clinicians but also, more importantly, patients and carers by providing them with accurate information about their condition, treatment options, medications, and management strategies. By proposing personalized, integrated health care, we offer an intelligent model of health care that is ubiquitous, efficient, and continuously improving. ",
doi="10.2196/12382",
url="https://www.jmir.org/2019/6/e12382/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31165713"
}


@Article{info:doi/10.2196/13313,
author="Colicchio, K. Tiago
and Cimino, J. James
and Del Fiol, Guilherme",
title="Unintended Consequences of Nationwide Electronic Health Record Adoption: Challenges and Opportunities in the Post-Meaningful Use Era",
journal="J Med Internet Res",
year="2019",
month="Jun",
day="03",
volume="21",
number="6",
pages="e13313",
keywords="meaningful use",
keywords="medical informatics applications",
keywords="adoption",
doi="10.2196/13313",
url="https://www.jmir.org/2019/6/e13313/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31162125"
}


@Article{info:doi/10.2196/12348,
author="Bracha, Yiscah
and Bagwell, Jacqueline
and Furberg, Robert
and Wald, S. Jonathan",
title="Consumer-Mediated Data Exchange for Research: Current State of US Law, Technology, and Trust",
journal="JMIR Med Inform",
year="2019",
month="Jun",
day="03",
volume="7",
number="2",
pages="e12348",
keywords="health records, personal",
keywords="electronic health records",
keywords="patient access to records",
keywords="research",
keywords="trust",
keywords="data collection",
keywords="consumer health information",
doi="10.2196/12348",
url="http://medinform.jmir.org/2019/2/e12348/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30946692"
}


@Article{info:doi/10.2196/12273,
author="Genevi{\`e}ve, Darryl Lester
and Martani, Andrea
and Wangmo, Tenzin
and Paolotti, Daniela
and Koppeschaar, Carl
and Kjels{\o}, Charlotte
and Guerrisi, Caroline
and Hirsch, Marco
and Woolley-Meza, Olivia
and Lukowicz, Paul
and Flahault, Antoine
and Elger, Simone Bernice",
title="Participatory Disease Surveillance Systems: Ethical Framework",
journal="J Med Internet Res",
year="2019",
month="May",
day="23",
volume="21",
number="5",
pages="e12273",
keywords="ethics",
keywords="research",
keywords="influenza, human",
keywords="smartphone",
keywords="public health surveillance",
doi="10.2196/12273",
url="https://www.jmir.org/2019/5/e12273/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31124466"
}


@Article{info:doi/10.2196/13047,
author="Kirkendall, Steven Eric
and Ni, Yizhao
and Lingren, Todd
and Leonard, Matthew
and Hall, S. Eric
and Melton, Kristin",
title="Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support",
journal="J Med Internet Res",
year="2019",
month="May",
day="22",
volume="21",
number="5",
pages="e13047",
keywords="decision support systems, clinical",
keywords="clinical decision support",
keywords="real-time systems",
keywords="electronic medical records",
keywords="electronic health records",
keywords="medical records systems, computerized",
keywords="informatics",
keywords="data science",
keywords="information science",
keywords="patient safety",
abstract="Background: The continued digitization and maturation of health care information technology has made access to real-time data easier and feasible for more health care organizations. With this increased availability, the promise of using data to algorithmically detect health care--related events in real-time has become more of a reality. However, as more researchers and clinicians utilize real-time data delivery capabilities, it has become apparent that simply gaining access to the data is not a panacea, and some unique data challenges have emerged to the forefront in the process. Objective: The aim of this viewpoint was to highlight some of the challenges that are germane to real-time processing of health care system--generated data and the accurate interpretation of the results. Methods: Distinct challenges related to the use and processing of real-time data for safety event detection were compiled and reported by several informatics and clinical experts at a quaternary pediatric academic institution. The challenges were collated from the experiences of the researchers implementing real-time event detection on more than half a dozen distinct projects. The challenges have been presented in a challenge category-specific challenge-example format. Results: In total, 8 major types of challenge categories were reported, with 13 specific challenges and 9 specific examples detailed to provide a context for the challenges. The examples reported are anchored to a specific project using medication order, medication administration record, and smart infusion pump data to detect discrepancies and errors between the 3 datasets. Conclusions: The use of real-time data to drive safety event detection and clinical decision support is extremely powerful, but it presents its own set of challenges that include data quality and technical complexity. These challenges must be recognized and accommodated for if the full promise of accurate, real-time safety event clinical decision support is to be realized. ",
doi="10.2196/13047",
url="http://www.jmir.org/2019/5/e13047/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31120022"
}


@Article{info:doi/10.2196/12412,
author="Hjollund, Ingvar Niels Henrik
and Valderas, Maria Jos{\'e}
and Kyte, Derek
and Calvert, Jane Melanie",
title="Health Data Processes: A Framework for Analyzing and Discussing Efficient Use and Reuse of Health Data With a Focus on Patient-Reported Outcome Measures",
journal="J Med Internet Res",
year="2019",
month="May",
day="21",
volume="21",
number="5",
pages="e12412",
keywords="medical informatics",
keywords="patient-reported outcome",
keywords="patient-physician relationship",
keywords="data collection",
doi="10.2196/12412",
url="https://www.jmir.org/2019/5/e12412/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31115347"
}


@Article{info:doi/10.2196/10318,
author="Bhattacharyya, Onil
and Mossman, Kathryn
and Gustafsson, Lovisa
and Schneider, C. Eric",
title="Using Human-Centered Design to Build a Digital Health Advisor for Patients With Complex Needs: Persona and Prototype Development",
journal="J Med Internet Res",
year="2019",
month="May",
day="09",
volume="21",
number="5",
pages="e10318",
keywords="chronic disease",
keywords="user-centered design",
keywords="medical applications",
abstract="Background: Twenty years ago, a ``Guardian Angel'' or comprehensive digital health advisor was proposed to empower patients to better manage their own health. This is now technically feasible, but most digital applications have narrow functions and target the relatively healthy, with few designed for those with the greatest needs. Objective: The goal of the research was to identify unmet needs and key features of a general digital health advisor for frail elderly and people with multiple chronic conditions and their caregivers. Methods: In-depth interviews were used to develop personas and use cases, and iterative feedback from participants informed the creation of a low-fidelity prototype of a digital health advisor. Results were shared with developers, investors, regulators, and health system leaders for suggestions on how this could be developed and disseminated. Results: Patients highlighted the following goals: ``live my life,'' ``love my life,'' ``manage my health,'' and ``feel understood.'' Patients and caregivers reported interest in four functions to address these goals: tracking and insights, advice and information, providing a holistic picture of the patient, and coordination and communication. Experts and system stakeholders felt the prototype was technically feasible, and that while health care delivery organizations could help disseminate such a tool, it should be done in partnership with consumer-focused organizations. Conclusions: This study describes the key features of a comprehensive digital health advisor, but to spur its development, we need to clarify the business case and address the policy, organizational, and cultural barriers to creating tools that put patients and their goals at the center of the health system. ",
doi="10.2196/10318",
url="https://www.jmir.org/2019/5/e10318/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31094334"
}


@Article{info:doi/10.2196/12317,
author="Hamel, M. Lauren
and Thompson, S. Hayley
and Albrecht, L. Terrance
and Harper, WK Felicity",
title="Designing and Testing Apps to Support Patients With Cancer: Looking to Behavioral Science to Lead the Way",
journal="JMIR Cancer",
year="2019",
month="Apr",
day="22",
volume="5",
number="1",
pages="e12317",
keywords="behavioral science",
keywords="cancer",
keywords="mobile apps",
keywords="evidence-based practice",
keywords="smartphone",
keywords="mHealth",
abstract="Background: Behavioral science has a long and strong tradition of rigorous experimental and applied methodologies, which have produced several influential and far-reaching theoretical frameworks and have guided countless inquiries of human behavior in various contexts. In cancer care, behavioral scientists have established a firm foundation of research focused on understanding the experience of cancer and using that understanding to design and implement theory- and evidenced-based interventions to help patients cope with the cancer experience. Given the rich behavioral research base in oncology, behavioral scientists are ideally positioned to lead the integration of evidence-based science on behavior and behavior change into the development of smartphone apps supporting patients with cancer. Smartphone apps are being disseminated to patients with cancer with claims of being able to help them negotiate areas of vulnerability in their cancer experience. However, the vast majority of these apps are developed without the rigor and expertise of behavioral scientists. Objective: In this article, we have illustrated the importance of behavioral science leading the development and evaluation of apps to support patients with cancer by providing an illustrative scientific process that our team of behavioral scientists, patient stakeholders, medical oncologists, and software developers used to empirically design and evaluate 2 patient-focused apps: the Discussion of Cost App (DISCO App) and MyPatientPal. Methods: Using a focused literature review and a descriptive roadmap of our team's process for designing and evaluating patient-focused behavioral apps for patients with cancer, we have demonstrated how behavioral scientists are integral to the development of empirically sound apps to help support patients with cancer. Specifically, we have illustrated the process by which our multidisciplinary team combined the established user-centered design principles and behavioral science theory and scientific rigor to design and evaluate 2 patient-focused apps. Results: On the basis of initial acceptability and feasibility testing among patients and providers, our team has demonstrated how critical behavioral science is for designing and evaluating app-based interventions for patients with cancer. Conclusions: Behavioral science can and should be coupled with user-centered design principles to provide theoretical guidance and the rigor of the scientific method, thereby adding the much-needed and critical evidence for these types of app-based interventions for patients with cancer. ",
doi="10.2196/12317",
url="http://cancer.jmir.org/2019/1/e12317/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31066691"
}


@Article{info:doi/10.2196/12390,
author="Wykes, Til
and Schueller, Stephen",
title="Why Reviewing Apps Is Not Enough: Transparency for Trust (T4T) Principles of Responsible Health App Marketplaces",
journal="J Med Internet Res",
year="2019",
month="May",
day="02",
volume="21",
number="5",
pages="e12390",
keywords="mobile health",
keywords="digital health applications",
keywords="consumer protection",
keywords="ehealth",
keywords="advertising standards",
keywords="digital mental health interventions",
keywords="digital health",
doi="10.2196/12390",
url="https://www.jmir.org/2019/5/e12390/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31045497"
}


@Article{info:doi/10.2196/12490,
author="Mesko, Bertalan
and Gy?rffy, Zsuzsa",
title="The Rise of the Empowered Physician in the Digital Health Era: Viewpoint",
journal="J Med Internet Res",
year="2019",
month="Mar",
day="26",
volume="21",
number="3",
pages="e12490",
keywords="e-physician",
keywords="e-patient",
keywords="empowerment",
keywords="doctor-patient relationship",
keywords="digital health",
keywords="technology",
doi="10.2196/12490",
url="http://www.jmir.org/2019/3/e12490/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30912758"
}


@Article{info:doi/10.2196/11014,
author="Moreno, A. Megan
and D'Angelo, Jonathan",
title="Social Media Intervention Design: Applying an Affordances Framework",
journal="J Med Internet Res",
year="2019",
month="Mar",
day="26",
volume="21",
number="3",
pages="e11014",
keywords="social media",
keywords="health",
keywords="adolescent",
keywords="research",
doi="10.2196/11014",
url="http://www.jmir.org/2019/3/e11014/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30912754"
}


@Article{info:doi/10.2196/12568,
author="Woods, Beau
and Coravos, Andrea
and Corman, David Joshua",
title="The Case for a Hippocratic Oath for Connected Medical Devices: Viewpoint",
journal="J Med Internet Res",
year="2019",
month="Mar",
day="19",
volume="21",
number="3",
pages="e12568",
keywords="ethics",
keywords="cybersecurity",
keywords="information technology",
keywords="delivery of health care",
keywords="connected devices",
doi="10.2196/12568",
url="http://www.jmir.org/2019/3/e12568/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30888323"
}


@Article{info:doi/10.2196/11732,
author="Bezemer, Tim
and de Groot, CH Mark
and Blasse, Enja
and ten Berg, J. Maarten
and Kappen, H. Teus
and Bredenoord, L. Annelien
and van Solinge, W. Wouter
and Hoefer, E. Imo
and Haitjema, Saskia",
title="A Human(e) Factor in Clinical Decision Support Systems",
journal="J Med Internet Res",
year="2019",
month="Mar",
day="19",
volume="21",
number="3",
pages="e11732",
keywords="clinical decision support",
keywords="big data",
keywords="artificial intelligence",
keywords="machine learning",
keywords="deep learning",
keywords="precision medicine",
keywords="expert systems",
keywords="data science",
keywords="health care providers",
doi="10.2196/11732",
url="http://www.jmir.org/2019/3/e11732/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30888324"
}


@Article{info:doi/10.2196/10019,
author="Cosco, D. Theodore
and Firth, Joseph
and Vahia, Ipsit
and Sixsmith, Andrew
and Torous, John",
title="Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities",
journal="JMIR Aging",
year="2019",
month="Mar",
day="19",
volume="2",
number="1",
pages="e10019",
keywords="mHealth",
keywords="older adults",
keywords="data collection",
keywords="digital divide",
doi="10.2196/10019",
url="http://aging.jmir.org/2019/1/e10019/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31518253"
}


@Article{info:doi/10.2196/10966,
author="Miller, Sascha
and Ainsworth, Ben
and Yardley, Lucy
and Milton, Alex
and Weal, Mark
and Smith, Peter
and Morrison, Leanne",
title="A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint",
journal="J Med Internet Res",
year="2019",
month="Feb",
day="15",
volume="21",
number="2",
pages="e10966",
keywords="behavioral research",
keywords="internet",
keywords="health",
keywords="patient engagement",
keywords="data analysis",
doi="10.2196/10966",
url="http://www.jmir.org/2019/2/e10966/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30767905"
}


@Article{info:doi/10.2196/12425,
author="Kang, Hyo-Jin
and Han, Jieun
and Kwon, Hyun Gyu",
title="An Ecological Approach to Smart Homes for Health Care Services: Conceptual Framework of a Smart Servicescape Wheel",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Feb",
day="08",
volume="7",
number="2",
pages="e12425",
keywords="health care information management",
keywords="system analysis, smart homes for health care services",
keywords="ecological approach",
keywords="conceptual framework",
keywords="smart servicescape wheel",
abstract="Background: Smart homes are considered effective solutions for home health care for the elderly, as smart home technologies can reduce care costs and improve elderly residents' independence. To develop a greater understanding of smart homes for health care services (SHHSs), this study accentuated the necessity of ecological approaches with an emphasis on environmental constraints. This study was based on 2 rationales: (1) users are inclined to perceive the service quality and service experience from environments (ie, servicescape) owing to the intangibility of health care and the pervasiveness of smart home technologies, and (2) both service domains are complex adaptive systems in which diversified and undefined service experiences---not only a few intended service flows---can be generated by complex combinations of servicescape elements. Objective: This study proposed the conceptual framework of a Smart Servicescape Wheel (SSW) as an ecological approach delineating the extensive spectrum of environmental constraints in SHHSs. Methods: The SSW framework was established based on a literature review. Results: Generally divided by perceptible and imperceptible servicescapes, the SSW consists of the perceptible Physical scape (ie, hardware components, environmental cues, and human states) and Social scape (ie, service relationships and social relationships) as well as the imperceptible Datascape (ie, computing intelligence, databases, and communication networks). Following the ecological approach, each category of the SSW is subdivided and defined at the level of components or functions. Conclusions: The SSW's strengths lie in the various application opportunities for SHHSs. In terms of service planning and development, the SSW can be utilized to (1) establish the requirements for SHHS development, (2) associate with work domain analysis by defining component layers, and (3) understand the real contexts of SHHSs for the enhanced prediction of diverse service experiences. Regarding service management, it can be applied to develop measurement items for the operation and evaluation of SHHSs. ",
doi="10.2196/12425",
url="http://mhealth.jmir.org/2019/2/e12425/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30735145"
}


@Article{info:doi/10.2196/12902,
author="Mandl, D. Kenneth
and Gottlieb, Daniel
and Ellis, Alyssa",
title="Beyond One-Off Integrations: A Commercial, Substitutable, Reusable, Standards-Based, Electronic Health Record--Connected App",
journal="J Med Internet Res",
year="2019",
month="Feb",
day="01",
volume="21",
number="2",
pages="e12902",
keywords="electronic medical records",
keywords="application programming interfaces",
doi="10.2196/12902",
url="http://www.jmir.org/2019/2/e12902/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30707097"
}


@Article{info:doi/10.2196/11752,
author="Hermes, DA Eric
and Lyon, R. Aaron
and Schueller, M. Stephen
and Glass, E. Joseph",
title="Measuring the Implementation of Behavioral Intervention Technologies: Recharacterization of Established Outcomes",
journal="J Med Internet Res",
year="2019",
month="Jan",
day="25",
volume="21",
number="1",
pages="e11752",
keywords="mobile applications",
keywords="behavior therapy",
keywords="technology",
keywords="internet",
keywords="telemedicine",
keywords="diffusion of innovation",
keywords="translational medical research",
keywords="outcome assessment (health care)",
keywords="review",
keywords="implementation",
keywords="behavioral intervention technology",
doi="10.2196/11752",
url="http://www.jmir.org/2019/1/e11752/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30681966"
}


@Article{info:doi/10.2196/11507,
author="Pisani, R. Anthony
and Kanuri, Nitya
and Filbin, Bob
and Gallo, Carlos
and Gould, Madelyn
and Lehmann, Soleymani Lisa
and Levine, Robert
and Marcotte, E. John
and Pascal, Brian
and Rousseau, David
and Turner, Shairi
and Yen, Shirley
and Ranney, L. Megan",
title="Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line",
journal="J Med Internet Res",
year="2019",
month="Jan",
day="17",
volume="21",
number="1",
pages="e11507",
keywords="data sharing",
keywords="privacy",
keywords="crisis intervention",
keywords="text messaging",
keywords="ethics, business",
keywords="technology",
keywords="industry",
keywords="cooperative behavior",
keywords="information dissemination",
doi="10.2196/11507",
url="https://www.jmir.org/2019/1/e11507/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30664452"
}


@Article{info:doi/10.2196/11848,
author="Jimenez, Geronimo
and Lum, Elaine
and Car, Josip",
title="Examining Diabetes Management Apps Recommended From a Google Search: Content Analysis",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Jan",
day="16",
volume="7",
number="1",
pages="e11848",
keywords="chronic diseases",
keywords="diabetes",
keywords="Google",
keywords="health apps",
keywords="mobile phone",
abstract="Background: The availability of smartphone health apps empowers people to manage their own health. Currently, there are over 300,000 health apps available in the market targeting a variety of user needs from weight loss to management of chronic conditions, with diabetes being the most commonly targeted condition. To date, health apps largely fall outside government regulation, and there are no official guidelines to help clinicians and patients in app selection. Patients commonly resort to the internet for suggestions on which diabetes app to use. Objective: The objective of this study was to investigate apps identified through a Google search and characterize these apps in terms of features that support diabetes management. Methods: We performed a Google search for the ``best diabetes apps 2017'' and explored the first 4 search results. We identified and compiled a list of the apps recommended in the returned search results, which were Web articles. Information about each app was extracted from the papers and corresponding app store descriptions. We examined the apps for the following diabetes management features: medication management, blood glucose self-management, physical activity, diet and nutrition, and weight management. Results: Overall, 26 apps were recommended in 4 papers. One app was listed in all 4 papers, and 3 apps appeared on 3 of the 4 lists. Apart from one paper, there were no explicit criteria to justify or explain the selection of apps. We found a wide variation in the type and the number of diabetes management features in the recommended apps. Five apps required payment to be used. Two-thirds of the apps had blood glucose management features, and less than half had medication management features. The most prevalent app features were nutrition or diet-related (19/24, 79\%) and physical activity tracking (14/24, 58\%). Conclusions: The ambiguity of app selection and the wide variability in key features of the apps recommended for diabetes management may pose difficulties for patients when selecting the most appropriate app. It is critical to involve patients, clinicians, relevant professional bodies, and policy makers to define the key features an app should have for it to be classified as a ``diabetes management'' app. The lessons learned here may be extrapolated for the development and recommendation of apps for the management of other chronic conditions. ",
doi="10.2196/11848",
url="http://mhealth.jmir.org/2019/1/e11848/"
}


@Article{info:doi/10.2196/11528,
author="Scholten, Hanneke
and Granic, Isabela",
title="Use of the Principles of Design Thinking to Address Limitations of Digital Mental Health Interventions for Youth: Viewpoint",
journal="J Med Internet Res",
year="2019",
month="Jan",
day="14",
volume="21",
number="1",
pages="e11528",
keywords="anxiety",
keywords="depression",
keywords="design thinking",
keywords="e-mental health",
keywords="youth",
doi="10.2196/11528",
url="https://www.jmir.org/2019/1/e11528/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31344671"
}


@Article{info:doi/10.2196/12449,
author="Barteit, Sandra
and Jahn, Albrecht
and Banda, S. Sekelani
and B{\"a}rnighausen, Till
and Bowa, Annel
and Chileshe, Geoffrey
and Guzek, Dorota
and Jorge, Mendes Margarida
and L{\"u}ders, Sigrid
and Malunga, Gregory
and Neuhann, Florian",
title="E-Learning for Medical Education in Sub-Saharan Africa and Low-Resource Settings: Viewpoint",
journal="J Med Internet Res",
year="2019",
month="Jan",
day="09",
volume="21",
number="1",
pages="e12449",
keywords="medical e-learning",
keywords="technology-enhanced learning",
keywords="blended learning",
keywords="health workers",
keywords="health system strengthening",
keywords="universal health coverage",
keywords="medical education",
keywords="mHealth",
keywords="eHealth",
keywords="developing countries",
keywords="sub-Saharan Africa",
keywords="low-resource countries",
doi="10.2196/12449",
url="http://www.jmir.org/2019/1/e12449/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30626565"
}


@Article{info:doi/10.2196/11293,
author="McMillan, Brian
and Eastham, Robert
and Brown, Benjamin
and Fitton, Richard
and Dickinson, David",
title="Primary Care Patient Records in the United Kingdom: Past, Present, and Future Research Priorities",
journal="J Med Internet Res",
year="2018",
month="Dec",
day="19",
volume="20",
number="12",
pages="e11293",
keywords="primary care",
keywords="access to records",
keywords="medical records",
keywords="computerized records",
doi="10.2196/11293",
url="http://www.jmir.org/2018/12/e11293/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30567695"
}


@Article{info:doi/10.2196/11519,
author="Tang, Chunlei
and Plasek, M. Joseph
and Bates, W. David",
title="Rethinking Data Sharing at the Dawn of a Health Data Economy: A Viewpoint",
journal="J Med Internet Res",
year="2018",
month="Nov",
day="22",
volume="20",
number="11",
pages="e11519",
keywords="economics, hospital",
keywords="machine learning",
keywords="models, economic",
keywords="precision medicine",
doi="10.2196/11519",
url="http://www.jmir.org/2018/11/e11519/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30467103"
}


@Article{info:doi/10.2196/11871,
author="Brinker, Josef Titus
and Hekler, Achim
and von Kalle, Christof
and Schadendorf, Dirk
and Esser, Stefan
and Berking, Carola
and Zacher, T. Martina
and Sondermann, Wiebke
and Grabe, Niels
and Steeb, Theresa
and Utikal, Sven Jochen
and French, E. Lars
and Enk, H. Alexander",
title="Teledermatology: Comparison of Store-and-Forward Versus Live Interactive Video Conferencing",
journal="J Med Internet Res",
year="2018",
month="Oct",
day="24",
volume="20",
number="10",
pages="e11871",
keywords="teledermatology",
keywords="live video conferencing",
keywords="store-and-forward teledermatology",
keywords="mobile phone",
keywords="wait time",
keywords="live interactive",
doi="10.2196/11871",
url="http://www.jmir.org/2018/10/e11871/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30355564"
}


@Article{info:doi/10.2196/11160,
author="Fletcher, Kathryn
and Foley, Fiona
and Murray, Greg",
title="Web-Based Self-Management Programs for Bipolar Disorder: Insights From the Online, Recovery-Oriented Bipolar Individualised Tool Project",
journal="J Med Internet Res",
year="2018",
month="Oct",
day="24",
volume="20",
number="10",
pages="e11160",
keywords="Web-based intervention",
keywords="bipolar disorder",
keywords="self-management",
abstract="Background: Bipolar disorder (BD) is a complex, relapsing mood disorder characterized by considerable morbidity and mortality. Web-based self-management interventions provide marked opportunities for several chronic mental health conditions. However, Web-based self-management programs targeting BD are underrepresented compared with programs targeting other psychiatric conditions. Objective: This paper aims at facilitating future research in the area of self-management of BD and draws insights from the development of one such intervention---the Online, Recovery-Oriented Bipolar Individualised Tool (ORBIT)---that is aimed at improving the quality of life of people with BD. Methods: We have discussed the opportunities and challenges in developing an engaging, evidence-based, safe intervention within the context of the following three nested domains: (1) intervention development; (2) scientific testing of the intervention; and (3) ethical framework including risk management. Results: We gained the following insights across the three abovementioned overlapping domains: Web-based interventions can be optimized through (1) codesign with consumers with lived experience to ensure relevance and appropriateness to the target audience; (2) novel content development processes that iteratively combine evidence-based information with lived experience perspectives, capitalizing on multimedia (eg, videos) that the digital health space provides; and (3) incorporating Web-based communities to connect end users and promote constructive engagement by access to a Web-based coach. Conclusions: Self-management is effective in BD, even for those on the more severe end of the spectrum. While there are challenges to be aware of, guided self-management programs, such as those offered by the ORBIT project, which are specifically developed for Web-based delivery provide highly accessible, engaging, and potentially provocative treatments for chronically ill populations who may otherwise have never engaged with treatment. Key questions about engagement, effectiveness, and cost-effectiveness will be answered by the ORBIT project over the next 18 months. ",
doi="10.2196/11160",
url="http://www.jmir.org/2018/10/e11160/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30355553"
}


@Article{info:doi/10.2196/11140,
author="Lewis, D. Jaime
and Fane, E. Kathleen
and Ingraham, M. Angela
and Khan, Ayesha
and Mills, M. Anne
and Pitt, C. Susan
and Ramo, Danielle
and Wu, I. Roseann
and Pollart, M. Susan",
title="Expanding Opportunities for Professional Development: Utilization of Twitter by Early Career Women in Academic Medicine and Science",
journal="JMIR Med Educ",
year="2018",
month="Jul",
day="23",
volume="4",
number="2",
pages="e11140",
keywords="female",
keywords="leadership",
keywords="social media",
keywords="academic success",
keywords="professional development",
doi="10.2196/11140",
url="http://mededu.jmir.org/2018/2/e11140/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30037788"
}


@Article{info:doi/10.2196/10108,
author="Sartor, Francesco
and Papini, Gabriele
and Cox, Elisabeth Lieke Gertruda
and Cleland, John",
title="Methodological Shortcomings of Wrist-Worn Heart Rate Monitors Validations",
journal="J Med Internet Res",
year="2018",
month="Jul",
day="02",
volume="20",
number="7",
pages="e10108",
keywords="sensor technology",
keywords="accuracy",
keywords="wearable",
keywords="telemonitoring",
doi="10.2196/10108",
url="http://www.jmir.org/2018/7/e10108/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29967000"
}


@Article{info:doi/10.2196/jmir.8882,
author="Sarkar, Urmimala
and Le, M. Gem
and Lyles, R. Courtney
and Ramo, Danielle
and Linos, Eleni
and Bibbins-Domingo, Kirsten",
title="Using Social Media to Target Cancer Prevention in Young Adults: Viewpoint",
journal="J Med Internet Res",
year="2018",
month="Jun",
day="05",
volume="20",
number="6",
pages="e203",
keywords="cancer",
keywords="prevention \& control",
keywords="young adult",
keywords="behavior",
keywords="social media",
doi="10.2196/jmir.8882",
url="http://www.jmir.org/2018/6/e203/"
}


@Article{info:doi/10.2196/jmir.9732,
author="Ahmadvand, Alireza
and Gatchel, Robert
and Brownstein, John
and Nissen, Lisa",
title="The Biopsychosocial-Digital Approach to Health and Disease: Call for a Paradigm Expansion",
journal="J Med Internet Res",
year="2018",
month="May",
day="18",
volume="20",
number="5",
pages="e189",
keywords="digital health",
keywords="digital technologies",
keywords="Biopsychosocial Model to Health and Disease",
keywords="human resources for health",
doi="10.2196/jmir.9732",
url="http://www.jmir.org/2018/5/e189/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29776900"
}


@Article{info:doi/10.2196/jmir.9434,
author="Grande, W. Stuart
and Sherman, D. Ledric",
title="Too Important to Ignore: Leveraging Digital Technology to Improve Chronic Illness Management Among Black Men",
journal="J Med Internet Res",
year="2018",
month="May",
day="14",
volume="20",
number="5",
pages="e182",
keywords="black men",
keywords="digital health",
keywords="chronic illness",
doi="10.2196/jmir.9434",
url="http://www.jmir.org/2018/5/e182/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29759956"
}


@Article{info:doi/10.2196/10160,
author="Brinker, Josef Titus
and Rudolph, Stefanie
and Richter, Daniela
and von Kalle, Christof",
title="Patient-Centered Mobile Health Data Management Solution for the German Health Care System (The DataBox Project)",
journal="JMIR Cancer",
year="2018",
month="May",
day="11",
volume="4",
number="1",
pages="e10160",
keywords="medical informatics",
keywords="health data management",
doi="10.2196/10160",
url="http://cancer.jmir.org/2018/1/e10160/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29752255"
}


@Article{info:doi/10.2196/10062,
author="Smischney, J. Nathan
and Pannu, Jasleen
and Hinds, F. Richard
and McCormick, B. Jennifer",
title="Community Consultation for Planned Emergent Use Research: Experiences From an Academic Medical Center",
journal="JMIR Res Protoc",
year="2018",
month="May",
day="02",
volume="7",
number="5",
pages="e10062",
keywords="qualitative research",
keywords="research design",
keywords="research ethics",
abstract="Background: Emergent use research---research involving human subjects that have a life-threatening medical condition and who are unlikely to provide informed consent---in critical illness is fraught with challenges related to obtaining informed consent. Per federal regulations, to meet criteria to conduct such trials, the investigators have to seek community consultations. Effective ways of obtaining this consultation remains ill-defined. Objective: We sought to describe methods, interpretations, and our experiences of conducting community consultation in a planned emergent use randomized controlled trial. Methods: As part of a planned emergent use clinical trial in our study, community consultation consisted of four focus groups sessions with members from the community in which the clinical trial was conducted. Three focus group sessions were conducted with members who had an affiliation to Mayo Clinic, and the other focus group session was conducted with non-Mayo affiliation members. The feedback from the focus group sessions led to the creation of the public notification plan. The public was notified of the trial through community meetings as well as social media. Results: As compared to community meetings, focus group sessions resulted in greater attendance with more interactive discussions. Moreover, focus group sessions resulted in greater in-depth conversations leading to institutional acceptance of the clinical trial under study. Conclusions: Exception from informed consent can be acceptable to the community. Focus groups provided better participation and valuable interactive insight as compared to community meetings in our study. This could serve as a valuable guide for investigators pursuing exception from informed consent in their research studies. ",
doi="10.2196/10062",
url="http://www.researchprotocols.org/2018/5/e10062/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29720360"
}


@Article{info:doi/10.2196/jmir.8563,
author="Young, D. Sean",
title="Social Media as a New Vital Sign: Commentary",
journal="J Med Internet Res",
year="2018",
month="Apr",
day="30",
volume="20",
number="4",
pages="e161",
keywords="social media",
keywords="big data",
keywords="personal health records",
doi="10.2196/jmir.8563",
url="http://www.jmir.org/2018/4/e161/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29712631"
}


@Article{info:doi/10.2196/jmir.8480,
author="Santarossa, Sara
and Kane, Deborah
and Senn, Y. Charlene
and Woodruff, J. Sarah",
title="Exploring the Role of In-Person Components for Online Health Behavior Change Interventions: Can a Digital Person-to-Person Component Suffice?",
journal="J Med Internet Res",
year="2018",
month="Apr",
day="11",
volume="20",
number="4",
pages="e144",
keywords="digital person-to-person",
keywords="in-person",
keywords="online intervention",
keywords="behavior change",
keywords="health, digital media",
keywords="health care",
doi="10.2196/jmir.8480",
url="http://www.jmir.org/2018/4/e144/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29643048"
}


@Article{info:doi/10.2196/jmir.9110,
author="Swinkels, Sophia Ilse Catharina
and Huygens, Johanna Martine Wilhelmina
and Schoenmakers, M. Tim
and Oude Nijeweme-D'Hollosy, Wendy
and van Velsen, Lex
and Vermeulen, Joan
and Schoone-Harmsen, Marian
and Jansen, JFM Yvonne
and van Schayck, CP Onno
and Friele, Roland
and de Witte, Luc",
title="Lessons Learned From a Living Lab on the Broad Adoption of eHealth in Primary Health Care",
journal="J Med Internet Res",
year="2018",
month="Mar",
day="29",
volume="20",
number="3",
pages="e83",
keywords="telemedicine",
keywords="primary health care",
keywords="implementation",
keywords="patient involvement",
keywords="entrepreneurship",
keywords="health personnel",
keywords="policy makers",
abstract="Background: Electronic health (eHealth) solutions are considered to relieve current and future pressure on the sustainability of primary health care systems. However, evidence of the effectiveness of eHealth in daily practice is missing. Furthermore, eHealth solutions are often not implemented structurally after a pilot phase, even if successful during this phase. Although many studies on barriers and facilitators were published in recent years, eHealth implementation still progresses only slowly. To further unravel the slow implementation process in primary health care and accelerate the implementation of eHealth, a 3-year Living Lab project was set up. In the Living Lab, called eLabEL, patients, health care professionals, small- and medium-sized enterprises (SMEs), and research institutes collaborated to select and integrate fully mature eHealth technologies for implementation in primary health care. Seven primary health care centers, 10 SMEs, and 4 research institutes participated. Objective: This viewpoint paper aims to show the process of adoption of eHealth in primary care from the perspective of different stakeholders in a qualitative way. We provide a real-world view on how such a process occurs, including successes and failures related to the different perspectives. Methods: Reflective and process-based notes from all meetings of the project partners, interview data, and data of focus groups were analyzed systematically using four theoretical models to study the adoption of eHealth in primary care. Results: The results showed that large-scale implementation of eHealth depends on the efforts of and interaction and collaboration among 4 groups of stakeholders: patients, health care professionals, SMEs, and those responsible for health care policy (health care insurers and policy makers). These stakeholders are all acting within their own contexts and with their own values and expectations. We experienced that patients reported expected benefits regarding the use of eHealth for self-management purposes, and health care professionals stressed the potential benefits of eHealth and were interested in using eHealth to distinguish themselves from other care organizations. In addition, eHealth entrepreneurs valued the collaboration among SMEs as they were not big enough to enter the health care market on their own and valued the collaboration with research institutes. Furthermore, health care insurers and policy makers shared the ambition and need for the development and implementation of an integrated eHealth infrastructure. Conclusions: For optimal and sustainable use of eHealth, patients should be actively involved, primary health care professionals need to be reinforced in their management, entrepreneurs should work closely with health care professionals and patients, and the government needs to focus on new health care models stimulating innovations. Only when all these parties act together, starting in local communities with a small range of eHealth tools, the potential of eHealth will be enforced. ",
doi="10.2196/jmir.9110",
url="http://www.jmir.org/2018/3/e83/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29599108"
}


@Article{info:doi/10.2196/mhealth.8518,
author="Argent, Rob
and Daly, Ailish
and Caulfield, Brian",
title="Patient Involvement With Home-Based Exercise Programs: Can Connected Health Interventions Influence Adherence?",
journal="JMIR Mhealth Uhealth",
year="2018",
month="Mar",
day="01",
volume="6",
number="3",
pages="e47",
keywords="patient compliance",
keywords="rehabilitation",
keywords="exercise therapy",
keywords="biomedical technology",
keywords="review",
doi="10.2196/mhealth.8518",
url="https://mhealth.jmir.org/2018/3/e47/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29496655"
}


@Article{info:doi/10.2196/jmir.8249,
author="Pan, Chih-Long
and Lin, Chih-Hao
and Lin, Yan-Ren
and Wen, Hsin-Yu
and Wen, Jet-Chau",
title="The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks",
journal="J Med Internet Res",
year="2018",
month="Feb",
day="02",
volume="20",
number="2",
pages="e39",
keywords="social media",
keywords="mass casualty incident",
keywords="internet",
keywords="sensor",
doi="10.2196/jmir.8249",
url="https://www.jmir.org/2018/2/e39/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29396388"
}


@Article{info:doi/10.2196/jmir.7558,
author="Partridge, R. Stephanie
and Gallagher, Patrick
and Freeman, Becky
and Gallagher, Robyn",
title="Facebook Groups for the Management of Chronic Diseases",
journal="J Med Internet Res",
year="2018",
month="Jan",
day="17",
volume="20",
number="1",
pages="e21",
keywords="social media, prevention, intervention, Facebook",
doi="10.2196/jmir.7558",
url="http://www.jmir.org/2018/1/e21/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29343460"
}


@Article{info:doi/10.2196/jmir.8309,
author="Loiselle, G. Carmen
and Ahmed, Saima",
title="Is Connected Health Contributing to a Healthier Population?",
journal="J Med Internet Res",
year="2017",
month="Nov",
day="10",
volume="19",
number="11",
pages="e386",
keywords="connected health",
keywords="mHealth",
keywords="eHealth",
keywords="uHealth",
keywords="ubiquitous health",
doi="10.2196/jmir.8309",
url="http://www.jmir.org/2017/11/e386/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29127077"
}


@Article{info:doi/10.2196/jmir.8743,
author="Brinker, Josef Titus
and Enk, Alexander
and Gatzka, Martina
and Nakamura, Yasuhiro
and Sondermann, Wiebke
and Omlor, Joachim Albert
and Petri, Philip Maximilian
and Karoglan, Ante
and Seeger, Werner
and Klode, Joachim
and von Kalle, Christof
and Schadendorf, Dirk",
title="A Dermatologist's Ammunition in the War Against Smoking: A Photoaging App",
journal="J Med Internet Res",
year="2017",
month="Sep",
day="21",
volume="19",
number="9",
pages="e326",
keywords="dermatology",
keywords="smoking",
keywords="apps",
keywords="photoaging",
keywords="face",
keywords="skin",
keywords="tobacco",
keywords="tobacco cessation",
keywords="tobacco prevention",
doi="10.2196/jmir.8743",
url="http://www.jmir.org/2017/9/e326/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28935619"
}


@Article{info:doi/10.2196/jmir.6937,
author="Payne, Philip
and Lele, Omkar
and Johnson, Beth
and Holve, Erin",
title="Enabling Open Science for Health Research: Collaborative Informatics Environment for Learning on Health Outcomes (CIELO)",
journal="J Med Internet Res",
year="2017",
month="Jul",
day="31",
volume="19",
number="7",
pages="e276",
keywords="healthcare research",
keywords="information dissemination",
keywords="open access to information",
keywords="social networking",
keywords="reproducibility of results",
abstract="Background: There is an emergent and intensive dialogue in the United States with regard to the accessibility, reproducibility, and rigor of health research. This discussion is also closely aligned with the need to identify sustainable ways to expand the national research enterprise and to generate actionable results that can be applied to improve the nation's health. The principles and practices of Open Science offer a promising path to address both goals by facilitating (1) increased transparency of data and methods, which promotes research reproducibility and rigor; and (2) cumulative efficiencies wherein research tools and the output of research are combined to accelerate the delivery of new knowledge in proximal domains, thereby resulting in greater productivity and a reduction in redundant research investments. Objectives: AcademyHealth's Electronic Data Methods (EDM) Forum implemented a proof-of-concept open science platform for health research called the Collaborative Informatics Environment for Learning on Health Outcomes (CIELO). Methods: The EDM Forum conducted a user-centered design process to elucidate important and high-level requirements for creating and sustaining an open science paradigm. Results: By implementing CIELO and engaging a variety of potential users in its public beta testing, the EDM Forum has been able to elucidate a broad range of stakeholder needs and requirements related to the use of an open science platform focused on health research in a variety of ``real world'' settings. Conclusions: Our initial design and development experience over the course of the CIELO project has provided the basis for a vigorous dialogue between stakeholder community members regarding the capabilities that will add the greatest value to an open science platform for the health research community. A number of important questions around user incentives, sustainability, and scalability will require further community dialogue and agreement. ",
doi="10.2196/jmir.6937",
url="http://www.jmir.org/2017/7/e276/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28760728"
}


@Article{info:doi/10.2196/diabetes.6751,
author="Sheon, R. Amy
and Bolen, D. Shari
and Callahan, Bill
and Shick, Sarah
and Perzynski, T. Adam",
title="Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use",
journal="JMIR Diabetes",
year="2017",
month="Jul",
day="13",
volume="2",
number="2",
pages="e16",
keywords="diabetes",
keywords="chronic illness",
keywords="vulnerable populations",
keywords="digital divide",
keywords="community health workers",
keywords="healthcare disparities",
keywords="patient portals",
keywords="patient engagement",
keywords="meaningful use",
keywords="health literacy",
doi="10.2196/diabetes.6751",
url="http://diabetes.jmir.org/2017/2/e16/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30291090"
}


@Article{info:doi/10.2196/jmir.7126,
author="Michie, Susan
and Yardley, Lucy
and West, Robert
and Patrick, Kevin
and Greaves, Felix",
title="Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop",
journal="J Med Internet Res",
year="2017",
month="Jun",
day="29",
volume="19",
number="6",
pages="e232",
keywords="health behavior",
keywords="psychological theory",
keywords="mobile applications",
keywords="behavioral medicine",
keywords="mHealth",
keywords="eHealth",
doi="10.2196/jmir.7126",
url="http://www.jmir.org/2017/6/e232/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28663162"
}


@Article{info:doi/10.2196/resprot.7245,
author="Chen, Yuzen Robert
and Feltes, Robert Jordan
and Tzeng, Shun William
and Lu, Yunzhu Zoe
and Pan, Michael
and Zhao, Nan
and Talkin, Rebecca
and Javaherian, Kavon
and Glowinski, Anne
and Ross, Will",
title="Phone-Based Interventions in Adolescent Psychiatry: A Perspective and Proof of Concept Pilot Study With a Focus on Depression and Autism",
journal="JMIR Res Protoc",
year="2017",
month="Jun",
day="16",
volume="6",
number="6",
pages="e114",
keywords="telemedicine",
keywords="depression",
keywords="autistic disorder",
keywords="mobile applications",
keywords="text messaging",
keywords="child",
keywords="mental health",
abstract="Background: Telemedicine has emerged as an innovative platform to diagnose and treat psychiatric disorders in a cost-effective fashion. Previous studies have laid the functional framework for monitoring and treating child psychiatric disorders electronically using videoconferencing, mobile phones (smartphones), and Web-based apps. However, phone call and text message (short message service, SMS) interventions in adolescent psychiatry are less studied than other electronic platforms. Further investigations on the development of these interventions are needed. Objective: The aim of this paper was to explore the utility of text message interventions in adolescent psychiatry and describe a user feedback-driven iterative design process for text message systems. Methods: We developed automated text message interventions using a platform for both depression (EpxDepression) and autism spectrum disorder (ASD; EpxAutism) and conducted 2 pilot studies for each intervention (N=3 and N=6, respectively). The interventions were prescribed by and accessible to the patients' healthcare providers. EpxDepression and EpxAutism utilized an automated system to triage patients into 1 of 3 risk categories based on their text responses and alerted providers directly via phone and an online interface when patients met provider-specified risk criteria. Rapid text-based feedback from participants and interviews with providers allowed for quick iterative cycles to improve interventions. Results: Patients using EpxDepression had high weekly response rates (100\% over 2 to 4 months), but exhibited message fatigue with daily prompts with mean (SD) overall response rates of 66.3\% (21.6\%) and 64.7\% (8.2\%) for mood and sleep questionnaires, respectively. In contrast, parents using EpxAutism displayed both high weekly and overall response rates (100\% and 85\%, respectively, over 1 to 4 months) that did not decay significantly with time. Monthly participant feedback surveys for EpxDepression (7 surveys) and EpxAutism (18 surveys) preliminarily indicated that for both interventions, daily messages constituted the ``perfect amount'' of contact and that EpxAutism, but not EpxDepression, improved patient communication with providers. Notably, EpxDepression detected thoughts of self-harm in patients before their case managers or caregivers were aware of such ideation. Conclusions: Text-message interventions in adolescent psychiatry can provide a cost-effective and engaging method to track symptoms, behavior, and ideation over time. Following the collection of pilot data and feedback from providers and patients, larger studies are already underway to validate the clinical utility of EpxDepression and EpxAutism. Trial Registration: Clinicaltrials.gov NCT03002311; https://clinicaltrials.gov/ct2/show/NCT03002311 (Archived by WebCite at http://www.webcitation.org/6qQtlCIS0) ",
doi="10.2196/resprot.7245",
url="http://www.researchprotocols.org/2017/6/e114/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28623183"
}


@Article{info:doi/10.2196/jmir.7463,
author="Muench, Frederick
and Baumel, Amit",
title="More Than a Text Message: Dismantling Digital Triggers to Curate Behavior Change in Patient-Centered Health Interventions",
journal="J Med Internet Res",
year="2017",
month="May",
day="26",
volume="19",
number="5",
pages="e147",
keywords="alerts",
keywords="digital triggers",
keywords="text messaging",
keywords="haptic triggers",
keywords="reminder systems",
keywords="push alerts",
keywords="mHealth",
keywords="mobile health",
keywords="engagement",
keywords="marketing",
keywords="behavior change",
keywords="behavioral medicine",
doi="10.2196/jmir.7463",
url="http://www.jmir.org/2017/5/e147/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28550001"
}


@Article{info:doi/10.2196/jmir.7310,
author="Gr{\"o}nqvist, Helena
and Olsson, Gustaf Erik Martin
and Johansson, Birgitta
and Held, Claes
and Sj{\"o}str{\"o}m, Jonas
and Lindahl Norberg, Annika
and Hov{\'e}n, Emma
and Sanderman, Robbert
and van Achterberg, Theo
and von Essen, Louise",
title="Fifteen Challenges in Establishing a Multidisciplinary Research Program on eHealth Research in a University Setting: A Case Study",
journal="J Med Internet Res",
year="2017",
month="May",
day="23",
volume="19",
number="5",
pages="e173",
keywords="organization and administration",
keywords="eHealth",
keywords="interdisciplinary studies",
abstract="Background: U-CARE is a multidisciplinary eHealth research program that involves the disciplines of caring science, clinical psychology, health economics, information systems, and medical science. It was set up from scratch in a university setting in 2010, funded by a governmental initiative. While establishing the research program, many challenges were faced. Systematic documentation of experiences from establishing new research environments is scarce. Objective: The aim of this paper was to describe the challenges of establishing a publicly funded multidisciplinary eHealth research environment. Methods: Researchers involved in developing the research program U-CARE identified challenges in the formal documentation and by reflecting on their experience of developing the program. The authors discussed the content and organization of challenges into themes until consensus was reached. Results: The authors identified 15 major challenges, some general to establishing a new research environment and some specific for multidisciplinary eHealth programs. The challenges were organized into 6 themes: Organization, Communication, Implementation, Legislation, Software development, and Multidisciplinarity. Conclusions: Several challenges were faced during the development of the program and several accomplishments were made. By sharing our experience, we hope to help other research groups embarking on a similar journey to be prepared for some of the challenges they are likely to face on their way. ",
doi="10.2196/jmir.7310",
url="http://www.jmir.org/2017/5/e173/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28536090"
}


@Article{info:doi/10.2196/jmir.7725,
author="Mohr, C. David
and Lyon, R. Aaron
and Lattie, G. Emily
and Reddy, Madhu
and Schueller, M. Stephen",
title="Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment",
journal="J Med Internet Res",
year="2017",
month="May",
day="10",
volume="19",
number="5",
pages="e153",
keywords="eHealth",
keywords="mHealth",
keywords="methodology",
doi="10.2196/jmir.7725",
url="http://www.jmir.org/2017/5/e153/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28490417"
}


@Article{info:doi/10.2196/jmir.7622,
author="Ellis, A. Jennifer",
title="Leveraging Mobile Phones for Monitoring Risks for Noncommunicable Diseases in the Future",
journal="J Med Internet Res",
year="2017",
month="May",
day="05",
volume="19",
number="5",
pages="e137",
keywords="mHealth",
keywords="low- and middle-income countries",
keywords="noncommunicable diseases",
keywords="health systems strengthening",
doi="10.2196/jmir.7622",
url="http://www.jmir.org/2017/5/e137/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28476721"
}


@Article{info:doi/10.2196/jmir.7039,
author="Tarzia, Laura
and Valpied, Jodie
and Koziol-McLain, Jane
and Glass, Nancy
and Hegarty, Kelsey",
title="Methodological and Ethical Challenges in a Web-Based Randomized Controlled Trial of a Domestic Violence Intervention",
journal="J Med Internet Res",
year="2017",
month="Mar",
day="28",
volume="19",
number="3",
pages="e94",
keywords="eHealth",
keywords="domestic violence",
keywords="web-based trials",
keywords="research design",
keywords="ethics, research",
doi="10.2196/jmir.7039",
url="http://www.jmir.org/2017/3/e94/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28351830"
}


@Article{info:doi/10.2196/jmir.6663,
author="Cahan, Amos
and Cimino, J. James",
title="A Learning Health Care System Using Computer-Aided Diagnosis",
journal="J Med Internet Res",
year="2017",
month="Mar",
day="08",
volume="19",
number="3",
pages="e54",
keywords="diagnostic errors",
keywords="diagnosis, computer-assisted",
keywords="decision support systems, clinical",
keywords="pattern recognition, automated",
keywords="knowledge bases",
keywords="knowledge management",
keywords="diagnosis support systems",
keywords="crowdsourcing",
keywords="structured knowledge representation",
doi="10.2196/jmir.6663",
url="http://www.jmir.org/2017/3/e54/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28274905"
}


@Article{info:doi/10.2196/jmir.7108,
author="Rumbold, Michael John Mark
and Pierscionek, Barbara",
title="The Effect of the General Data Protection Regulation on Medical Research",
journal="J Med Internet Res",
year="2017",
month="Feb",
day="24",
volume="19",
number="2",
pages="e47",
keywords="pseudonymity",
keywords="anonymity",
keywords="untraceability",
keywords="privacy-preserving protocols",
keywords="informatics",
keywords="data reporting",
keywords="data protection",
keywords="research ethics",
abstract="Background: The enactment of the General Data Protection Regulation (GDPR) will impact on European data science. Particular concerns relating to consent requirements that would severely restrict medical data research have been raised. Objective: Our objective is to explain the changes in data protection laws that apply to medical research and to discuss their potential impact. Methods: Analysis of ethicolegal requirements imposed by the GDPR. Results: The GDPR makes the classification of pseudonymised data as personal data clearer, although it has not been entirely resolved. Biomedical research on personal data where consent has not been obtained must be of substantial public interest. Conclusions: The GDPR introduces protections for data subjects that aim for consistency across the EU. The proposed changes will make little impact on biomedical data research. ",
doi="10.2196/jmir.7108",
url="http://www.jmir.org/2017/2/e47/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28235748"
}


@Article{info:doi/10.2196/jmir.6793,
author="Torous, John
and Nebeker, Camille",
title="Navigating Ethics in the Digital Age: Introducing Connected and Open Research Ethics (CORE), a Tool for Researchers and Institutional Review Boards",
journal="J Med Internet Res",
year="2017",
month="Feb",
day="08",
volume="19",
number="2",
pages="e38",
keywords="ethics, research",
keywords="mHealth",
keywords="research",
keywords="mobile technologies",
keywords="telemedicine",
doi="10.2196/jmir.6793",
url="http://www.jmir.org/2017/2/e38/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28179216"
}


@Article{info:doi/10.2196/jmir.6634,
author="Bloss, Cinnamon
and Nebeker, Camille
and Bietz, Matthew
and Bae, Deborah
and Bigby, Barbara
and Devereaux, Mary
and Fowler, James
and Waldo, Ann
and Weibel, Nadir
and Patrick, Kevin
and Klemmer, Scott
and Melichar, Lori",
title="Reimagining Human Research Protections for 21st Century Science",
journal="J Med Internet Res",
year="2016",
month="Dec",
day="22",
volume="18",
number="12",
pages="e329",
keywords="ethics committees, research",
keywords="biomedical research",
keywords="telemedicine",
keywords="informed consent",
keywords="behavioral research",
abstract="Background: Evolving research practices and new forms of research enabled by technological advances require a redesigned research oversight system that respects and protects human research participants. Objective: Our objective was to generate creative ideas for redesigning our current human research oversight system. Methods: A total of 11 researchers and institutional review board (IRB) professionals participated in a January 2015 design thinking workshop to develop ideas for redesigning the IRB system. Results: Ideas in 5 major domains were generated. The areas of focus were (1) improving the consent form and process, (2) empowering researchers to protect their participants, (3) creating a system to learn from mistakes, (4) improving IRB efficiency, and (5) facilitating review of research that leverages technological advances. Conclusions: We describe the impetus for and results of a design thinking workshop to reimagine a human research protections system that is responsive to 21st century science. ",
doi="10.2196/jmir.6634",
url="http://www.jmir.org/2016/12/e329/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28007687"
}


@Article{info:doi/10.2196/jmir.6400,
author="Celi, Anthony Leo
and Davidzon, Guido
and Johnson, EW Alistair
and Komorowski, Matthieu
and Marshall, C. Dominic
and Nair, S. Sunil
and Phillips, T. Colin
and Pollard, J. Tom
and Raffa, D. Jesse
and Salciccioli, D. Justin
and Salgueiro, Muge Francisco
and Stone, J. David",
title="Bridging the Health Data Divide",
journal="J Med Internet Res",
year="2016",
month="Dec",
day="20",
volume="18",
number="12",
pages="e325",
keywords="electronic health records",
keywords="machine learning",
keywords="health care policy",
keywords="medical education",
keywords="collaboration",
doi="10.2196/jmir.6400",
url="http://www.jmir.org/2016/12/e325/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27998877"
}


@Article{info:doi/10.2196/jmir.5927,
author="Mummah, Ann Sarah
and Robinson, N. Thomas
and King, C. Abby
and Gardner, D. Christopher
and Sutton, Stephen",
title="IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior",
journal="J Med Internet Res",
year="2016",
month="Dec",
day="16",
volume="18",
number="12",
pages="e317",
keywords="health behavior",
keywords="design thinking",
keywords="user-centered design",
keywords="behavioral theory",
keywords="behavior change techniques",
keywords="digital interventions",
keywords="mobile phones",
keywords="digital health",
keywords="telemedicine",
keywords="diet",
keywords="exercise",
keywords="weight loss",
keywords="smoking cessation",
keywords="medication adherence",
keywords="sleep",
keywords="obesity",
doi="10.2196/jmir.5927",
url="http://www.jmir.org/2016/12/e317/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27986647"
}


@Article{info:doi/10.2196/medinform.6372,
author="Colorafi, Karen
and Bailey, Bryan",
title="It's Time for Innovation in the Health Insurance Portability and Accountability Act (HIPAA)",
journal="JMIR Med Inform",
year="2016",
month="Nov",
day="02",
volume="4",
number="4",
pages="e34",
keywords="innovation",
keywords="HIPAA",
keywords="electronic health record demonstration",
doi="10.2196/medinform.6372",
url="http://medinform.jmir.org/2016/4/e34/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27806923"
}


@Article{info:doi/10.2196/publichealth.5880,
author="Kesse-Guyot, Emmanuelle
and Assmann, Karen
and Andreeva, Valentina
and Castetbon, Katia
and M{\'e}jean, Caroline
and Touvier, Mathilde
and Salanave, Beno{\^i}t
and Deschamps, Val{\'e}rie
and P{\'e}neau, Sandrine
and Fezeu, L{\'e}opold
and Julia, Chantal
and All{\`e}s, Benjamin
and Galan, Pilar
and Hercberg, Serge",
title="Lessons Learned From Methodological Validation Research in E-Epidemiology",
journal="JMIR Public Health Surveill",
year="2016",
month="Oct",
day="18",
volume="2",
number="2",
pages="e160",
keywords="cohort studies",
keywords="bias, epidemiology",
abstract="Background: Traditional epidemiological research methods exhibit limitations leading to high logistics, human, and financial burden. The continued development of innovative digital tools has the potential to overcome many of the existing methodological issues. Nonetheless, Web-based studies remain relatively uncommon, partly due to persistent concerns about validity and generalizability. Objective: The objective of this viewpoint is to summarize findings from methodological studies carried out in the NutriNet-Sant{\'e} study, a French Web-based cohort study. Methods: On the basis of the previous findings from the NutriNet-Sant{\'e} e-cohort (>150,000 participants are currently included), we synthesized e-epidemiological knowledge on sample representativeness, advantageous recruitment strategies, and data quality. Results: Overall, the reported findings support the usefulness of Web-based studies in overcoming common methodological deficiencies in epidemiological research, in particular with regard to data quality (eg, the concordance for body mass index [BMI] classification was 93\%), reduced social desirability bias, and access to a wide range of participant profiles, including the hard-to-reach subgroups such as young (12.30\% [15,118/122,912], <25 years) and old people (6.60\% [8112/122,912], ?65 years), unemployed or homemaker (12.60\% [15,487/122,912]), and low educated (38.50\% [47,312/122,912]) people. However, some selection bias remained (78.00\% (95,871/122,912) of the participants were women, and 61.50\% (75,590/122,912) had postsecondary education), which is an inherent aspect of cohort study inclusion; other specific types of bias may also have occurred. Conclusions: Given the rapidly growing access to the Internet across social strata, the recruitment of participants with diverse socioeconomic profiles and health risk exposures was highly feasible. Continued efforts concerning the identification of specific biases in e-cohorts and the collection of comprehensive and valid data are still needed. This summary of methodological findings from the NutriNet-Sant{\'e} cohort may help researchers in the development of the next generation of high-quality Web-based epidemiological studies. ",
doi="10.2196/publichealth.5880",
url="http://publichealth.jmir.org/2016/2/e160/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27756715"
}


@Article{info:doi/10.2196/jmir.5534,
author="Pathipati, S. Akhilesh
and Azad, D. Tej
and Jethwani, Kamal",
title="Telemedical Education: Training Digital Natives in Telemedicine",
journal="J Med Internet Res",
year="2016",
month="Jul",
day="12",
volume="18",
number="7",
pages="e193",
keywords="telemedicine",
keywords="medical education",
keywords="medical school",
keywords="curriculum reform",
doi="10.2196/jmir.5534",
url="http://www.jmir.org/2016/7/e193/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27405323"
}


@Article{info:doi/10.2196/jmir.5549,
author="Van Poucke, Sven
and Thomeer, Michiel
and Heath, John
and Vukicevic, Milan",
title="Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics",
journal="J Med Internet Res",
year="2016",
month="Jul",
day="06",
volume="18",
number="7",
pages="e185",
keywords="randomized controlled trials",
keywords="data mining",
keywords="big data",
keywords="predictive analytics",
keywords="algorithm",
keywords="modeling",
keywords="ensemble methods",
doi="10.2196/jmir.5549",
url="http://www.jmir.org/2016/7/e185/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27383622"
}


@Article{info:doi/10.2196/jmir.5486,
author="Watson, Bekeela
and Robinson, H.Z Dana
and Harker, Laura
and Arriola, Jacob Kimberly R.",
title="The Inclusion of African-American Study Participants in Web-Based Research Studies: Viewpoint",
journal="J Med Internet Res",
year="2016",
month="Jun",
day="22",
volume="18",
number="6",
pages="e168",
keywords="Web-based interventions",
keywords="African-Americans",
keywords="social media",
keywords="Internet",
keywords="research techniques",
doi="10.2196/jmir.5486",
url="http://www.jmir.org/2016/6/e168/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27334683"
}


@Article{info:doi/10.2196/medinform.5571,
author="Lea, Christopher Nathan
and Nicholls, Jacqueline
and Dobbs, Christine
and Sethi, Nayha
and Cunningham, James
and Ainsworth, John
and Heaven, Martin
and Peacock, Trevor
and Peacock, Anthony
and Jones, Kerina
and Laurie, Graeme
and Kalra, Dipak",
title="Data Safe Havens and Trust: Toward a Common Understanding of Trusted Research Platforms for Governing Secure and Ethical Health Research",
journal="JMIR Med Inform",
year="2016",
month="Jun",
day="21",
volume="4",
number="2",
pages="e22",
keywords="trusted research platforms",
keywords="data safe havens",
keywords="trusted researchers",
keywords="legislative and regulatory compliance",
keywords="public engagement",
keywords="public involvement",
keywords="clinical research support",
keywords="health record linkage supported research",
keywords="genomics research support",
doi="10.2196/medinform.5571",
url="http://medinform.jmir.org/2016/2/e22/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27329087"
}


@Article{info:doi/10.2196/jmir.5432,
author="Hong, Alicia Yan",
title="Medical Tourism and Telemedicine: A New Frontier of an Old Business",
journal="J Med Internet Res",
year="2016",
month="May",
day="23",
volume="18",
number="5",
pages="e115",
keywords="E-hospital",
keywords="medical tourism",
keywords="telemedicine",
keywords="ethics",
doi="10.2196/jmir.5432",
url="http://www.jmir.org/2016/5/e115/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27215230"
}


@Article{info:doi/10.2196/jmir.5357,
author="Allen, Nelson Luke
and Christie, Pepall Gillian",
title="The Emergence of Personalized Health Technology",
journal="J Med Internet Res",
year="2016",
month="May",
day="10",
volume="18",
number="5",
pages="e99",
keywords="personalized health technology",
keywords="population health",
keywords="frugal innovation",
keywords="ethics",
keywords="socioeconomic factors, inequalities",
keywords="technology, health",
doi="10.2196/jmir.5357",
url="http://www.jmir.org/2016/5/e99/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27165944"
}


@Article{info:doi/10.2196/ijmr.5199,
author="Collins, Heather
and Calvo, Sherri
and Greenberg, Kathleen
and Forman Neall, Lisa
and Morrison, Stephanie",
title="Information Needs in the Precision Medicine Era: How Genetics Home Reference Can Help",
journal="Interact J Med Res",
year="2016",
month="Apr",
day="27",
volume="5",
number="2",
pages="e13",
keywords="individualized medicine",
keywords="patient education as topic",
keywords="databases, genetic",
keywords="health resources",
doi="10.2196/ijmr.5199",
url="http://www.i-jmr.org/2016/2/e13/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27122232"
}


@Article{info:doi/10.2196/medinform.4326,
author="Bosworth, B. Hayden
and Zullig, L. Leah
and Mendys, Phil
and Ho, Michael
and Trygstad, Troy
and Granger, Christopher
and Oakes, M. Megan
and Granger, B. Bradi",
title="Health Information Technology: Meaningful Use and Next Steps to Improving Electronic Facilitation of Medication Adherence",
journal="JMIR Med Inform",
year="2016",
month="Mar",
day="15",
volume="4",
number="1",
pages="e9",
keywords="medication adherence",
keywords="compliance",
keywords="health information technology",
abstract="Background: The use of health information technology (HIT) may improve medication adherence, but challenges for implementation remain. Objective: The aim of this paper is to review the current state of HIT as it relates to medication adherence programs, acknowledge the potential barriers in light of current legislation, and provide recommendations to improve ongoing medication adherence strategies through the use of HIT. Methods: We describe four potential HIT barriers that may impact interoperability and subsequent medication adherence. Legislation in the United States has incentivized the use of HIT to facilitate and enhance medication adherence. The Health Information Technology for Economic and Clinical Health (HITECH) was recently adopted and establishes federal standards for the so-called ``meaningful use'' of certified electronic health record (EHR) technology that can directly impact medication adherence. Results: The four persistent HIT barriers to medication adherence include (1) underdevelopment of data reciprocity across clinical, community, and home settings, limiting the capture of data necessary for clinical care; (2) inconsistent data definitions and lack of harmonization of patient-focused data standards, making existing data difficult to use for patient-centered outcomes research; (3) inability to effectively use the national drug code information from the various electronic health record and claims datasets for adherence purposes; and (4) lack of data capture for medication management interventions, such as medication management therapy (MTM) in the EHR. Potential recommendations to address these issues are discussed. Conclusion: To make meaningful, high quality data accessible, and subsequently improve medication adherence, these challenges will need to be addressed to fully reach the potential of HIT in impacting one of our largest public health issues. ",
doi="10.2196/medinform.4326",
url="http://medinform.jmir.org/2016/1/e9/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26980270"
}


@Article{info:doi/10.2196/publichealth.5018,
author="Kunkle, Sarah
and Christie, Gillian
and Yach, Derek
and El-Sayed, M. Abdulrahman",
title="The Importance of Computer Science for Public Health Training: An Opportunity and Call to Action",
journal="JMIR Public Health Surveill",
year="2016",
month="Mar",
day="14",
volume="2",
number="1",
pages="e10",
keywords="digital health",
keywords="public health",
keywords="machine learning",
keywords="computer science",
keywords="health technology",
keywords="chronic disease",
doi="10.2196/publichealth.5018",
url="http://publichealth.jmir.org/2016/1/e10/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27227145"
}


@Article{info:doi/10.2196/jmir.5257,
author="Dinesen, Birthe
and Nonnecke, Brandie
and Lindeman, David
and Toft, Egon
and Kidholm, Kristian
and Jethwani, Kamal
and Young, M. Heather
and Spindler, Helle
and Oestergaard, Ugilt Claus
and Southard, A. Jeffrey
and Gutierrez, Mario
and Anderson, Nick
and Albert, M. Nancy
and Han, J. Jay
and Nesbitt, Thomas",
title="Personalized Telehealth in the Future: A Global Research Agenda",
journal="J Med Internet Res",
year="2016",
month="Mar",
day="01",
volume="18",
number="3",
pages="e53",
keywords="telehealth",
keywords="research",
keywords="individualized medicine",
keywords="telemonitoring",
keywords="prevention",
keywords="mobile phone",
doi="10.2196/jmir.5257",
url="http://www.jmir.org/2016/3/e53/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26932229"
}


@Article{info:doi/10.2196/jmir.5094,
author="Gay, Valerie
and Leijdekkers, Peter",
title="Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability",
journal="J Med Internet Res",
year="2015",
month="Nov",
day="18",
volume="17",
number="11",
pages="e260",
keywords="health informatics",
keywords="connected health",
keywords="pervasive and mobile computing",
keywords="ubiquitous and mobile devices",
abstract="Background: A transformation is underway regarding how we deal with our health. Mobile devices make it possible to have continuous access to personal health information. Wearable devices, such as Fitbit and Apple's smartwatch, can collect data continuously and provide insights into our health and fitness. However, lack of interoperability and the presence of data silos prevent users and health professionals from getting an integrated view of health and fitness data. To provide better health outcomes, a complete picture is needed which combines informal health and fitness data collected by the user together with official health records collected by health professionals. Mobile apps are well positioned to play an important role in the aggregation since they can tap into these official and informal health and data silos. Objective: The objective of this paper is to demonstrate that a mobile app can be used to aggregate health and fitness data and can enable interoperability. It discusses various technical interoperability challenges encountered while integrating data into one place. Methods: For 8 years, we have worked with third-party partners, including wearable device manufacturers, electronic health record providers, and app developers, to connect an Android app to their (wearable) devices, back-end servers, and systems. Results: The result of this research is a health and fitness app called myFitnessCompanion, which enables users to aggregate their data in one place. Over 6000 users use the app worldwide to aggregate their health and fitness data. It demonstrates that mobile apps can be used to enable interoperability. Challenges encountered in the research process included the different wireless protocols and standards used to communicate with wireless devices, the diversity of security and authorization protocols used to be able to exchange data with servers, and lack of standards usage, such as Health Level Seven, for medical information exchange. Conclusions: By limiting the negative effects of health data silos, mobile apps can offer a better holistic view of health and fitness data. Data can then be analyzed to offer better and more personalized advice and care. ",
doi="10.2196/jmir.5094",
url="http://www.jmir.org/2015/11/e260/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26581920"
}


@Article{info:doi/10.2196/resprot.4404,
author="Avis, LS Jillian
and van Mierlo, Trevor
and Fournier, Rachel
and Ball, DC Geoff",
title="Lessons Learned From Using Focus Groups to Refine Digital Interventions",
journal="JMIR Res Protoc",
year="2015",
month="Jul",
day="31",
volume="4",
number="3",
pages="e95",
keywords="data collection",
keywords="digital interventions",
keywords="focus groups",
keywords="health care",
keywords="Internet",
keywords="qualitative research",
doi="10.2196/resprot.4404",
url="http://www.researchprotocols.org/2015/3/e95/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26232313"
}


@Article{info:doi/10.2196/jmir.4201,
author="Ludden, DS Geke
and van Rompay, JL Thomas
and Kelders, M. Saskia
and van Gemert-Pijnen, EWC Julia",
title="How to Increase Reach and Adherence of Web-Based Interventions: A Design Research Viewpoint",
journal="J Med Internet Res",
year="2015",
month="Jul",
day="10",
volume="17",
number="7",
pages="e172",
keywords="Web-based interventions",
keywords="adherence",
keywords="design for well-being",
keywords="metaphors",
keywords="personalization",
keywords="ambient information",
doi="10.2196/jmir.4201",
url="http://www.jmir.org/2015/7/e172/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26163456"
}


@Article{info:doi/10.2196/jmir.3973,
author="Li, Jingquan",
title="A Privacy Preservation Model for Health-Related Social Networking Sites",
journal="J Med Internet Res",
year="2015",
month="Jul",
day="08",
volume="17",
number="7",
pages="e168",
keywords="social networks",
keywords="privacy",
keywords="security",
keywords="threat modeling",
keywords="privacy preservation model",
keywords="electronic health records",
keywords="health care",
doi="10.2196/jmir.3973",
url="http://www.jmir.org/2015/7/e168/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26155953"
}


@Article{info:doi/10.2196/jmir.3817,
author="Carey, Mariko
and Noble, Natasha
and Mansfield, Elise
and Waller, Amy
and Henskens, Frans
and Sanson-Fisher, Rob",
title="The Role of eHealth in Optimizing Preventive Care in the Primary Care Setting",
journal="J Med Internet Res",
year="2015",
month="May",
day="22",
volume="17",
number="5",
pages="e126",
keywords="eHealth",
keywords="Internet",
keywords="prevention",
keywords="general practice",
keywords="family practice",
keywords="evidence-based practice",
doi="10.2196/jmir.3817",
url="http://www.jmir.org/2015/5/e126/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26001983"
}


@Article{info:doi/10.2196/jmir.3530,
author="Pugh, A. Carys
and Summers, M. Kim
and Bronsvoort, C. B. Mark
and Handel, G. Ian
and Clements, N. Dylan",
title="Validity of Internet-Based Longitudinal Study Data: The Elephant in the Virtual Room",
journal="J Med Internet Res",
year="2015",
month="Apr",
day="16",
volume="17",
number="4",
pages="e96",
keywords="epidemiology",
keywords="validation studies as topic",
keywords="Internet",
keywords="questionnaires",
keywords="longitudinal studies",
keywords="health",
keywords="canine",
abstract="Background: Internet-based data collection relies on well-designed and validated questionnaires. The theory behind designing and validating questionnaires is well described, but few practical examples of how to approach validation are available in the literature. Objective: We aimed to validate data collected in an ongoing Internet-based longitudinal health study through direct visits to participants and recall of their health records. We demonstrate that despite extensive pre-planning, social desirability can still affect data in unexpected ways and that anticipation of poor quality data may be confounded by positive validation. Methods: Dogslife is a large-scale, Web-based longitudinal study of canine health, in which owners of Labrador Retrievers were recruited and questioned at regular intervals about the lifestyle and health of their dogs using an Internet-based questionnaire. The Dogslife questionnaire predominantly consists of closed-answer questions. In our work, two separate validation methodologies were used: (1) direct interviews with 43 participants during visits to their households and (2) comparison of owner-entered health reports with 139 historical health records. Results: Our results indicate that user-derived measures should not be regarded as a single category; instead, each measurement should be considered separately as each presents its own challenge to participants. We recommend trying to ascertain the extent of recall decay within a study and, if necessary, using this to guide data collection timepoints and analyses. Finally, we recommend that multiple methods of communication facilitate validation studies and aid cohort engagement. Conclusions: Our study highlighted how the theory underpinning online questionnaire design and validation translates into practical data issues when applied to Internet-based studies. Validation should be regarded as an extension of questionnaire design, and that validation work should commence as soon as sufficient data are available. We believe that validation is a crucial step and hope our suggested guidelines will help facilitate validation of other Internet-based cohort studies. ",
doi="10.2196/jmir.3530",
url="http://www.jmir.org/2015/4/e96/",
url="http://www.ncbi.nlm.nih.gov/pubmed/25887101"
}


@Article{info:doi/10.2196/jmir.3082,
author="Tillmann, Taavi
and Gibson, R. Alexander
and Scott, Gregory
and Harrison, Oliver
and Dominiczak, Anna
and Hanlon, Phil",
title="Systems Medicine 2.0: Potential Benefits of Combining Electronic Health Care Records With Systems Science Models",
journal="J Med Internet Res",
year="2015",
month="Mar",
day="23",
volume="17",
number="3",
pages="e64",
keywords="gene-environment interaction",
keywords="systems theory",
keywords="electronic health records",
keywords="epidemiology",
keywords="online social networks",
keywords="crowd-sourcing",
keywords="Web 2.0",
abstract="Background: The global burden of disease is increasingly dominated by non-communicable diseases.These diseases are less amenable to curative and preventative interventions than communicable disease. This presents a challenge to medical practice and medical research, both of which are experiencing diminishing returns from increasing investment. Objective: Our aim was to (1) review how medical knowledge is generated, and its limitations, (2) assess the potential for emerging technologies and ideas to improve medical research, and (3) suggest solutions and recommendations to increase medical research efficiency on non-communicable diseases. Methods: We undertook an unsystematic review of peer-reviewed literature and technology websites. Results: Our review generated the following conclusions and recommendations. (1) Medical knowledge continues to be generated in a reductionist paradigm. This oversimplifies our models of disease, rendering them ineffective to sufficiently understand the complex nature of non-communicable diseases. (2) Some of these failings may be overcome by adopting a ``Systems Medicine'' paradigm, where the human body is modeled as a complex adaptive system. That is, a system with multiple components and levels interacting in complex ways, wherein disease emerges from slow changes to the system set-up. Pursuing systems medicine research will require larger datasets. (3) Increased data sharing between researchers, patients, and clinicians could provide this unmet need for data. The recent emergence of electronic health care records (EHR) could potentially facilitate this in real-time and at a global level. (4) Efforts should continue to aggregate anonymous EHR data into large interoperable data silos and release this to researchers. However, international collaboration, data linkage, and obtaining additional information from patients will remain challenging. (5) Efforts should also continue towards ``Medicine 2.0''. Patients should be given access to their personal EHR data. Subsequently, online communities can give researchers the opportunity to ask patients for direct access to the patient's EHR data and request additional study-specific information. However, selection bias towards patients who use Web 2.0 technology may be difficult to overcome. Conclusions: Systems medicine, when combined with large-scale data sharing, has the potential to raise our understanding of non-communicable diseases, foster personalized medicine, and make substantial progress towards halting, curing, and preventing non-communicable diseases. Large-scale data amalgamation remains a core challenge and needs to be supported. A synthesis of ``Medicine 2.0'' and ``Systems Science'' concepts into ``Systems Medicine 2.0'' could take decades to materialize but holds much promise. ",
doi="10.2196/jmir.3082",
url="http://www.jmir.org/2015/3/e64/",
url="http://www.ncbi.nlm.nih.gov/pubmed/25831125"
}


@Article{info:doi/10.2196/jmir.3773,
author="Badran, Hani
and Pluye, Pierre
and Grad, Roland",
title="Advantages and Disadvantages of Educational Email Alerts for Family Physicians: Viewpoint",
journal="J Med Internet Res",
year="2015",
month="Feb",
day="27",
volume="17",
number="2",
pages="e49",
keywords="theory of planned behavior",
keywords="continuing medical education",
keywords="educational email alerts",
keywords="electronic knowledge resources",
keywords="family physicians",
keywords="health informatics",
keywords="knowledge translation",
keywords="primary health care",
abstract="Background: Electronic knowledge resources constitute an important channel for accredited Continuing Medical Education (CME) activities. However, email usage for educational purposes is controversial. On the one hand, family physicians become aware of new information, confirm what they already know, and obtain reassurance by reading educational email alerts. Email alerts can also encourage physicians to search Web-based resources. On the other hand, technical difficulties and privacy issues are common obstacles. Objective: The purpose of this discussion paper, informed by a literature review and a small qualitative study, was to understand family physicians' knowledge, attitudes, and behavior in regard to email in general and educational emails in particular, and to explore the advantages and disadvantages of educational email alerts. In addition, we documented participants' suggestions to improve email alert services for CME. Methods: We conducted a qualitative descriptive study using the ``Knowledge, Attitude, Behavior'' model. We conducted semi-structured face-to-face interviews with 15 family physicians. We analyzed the collected data using inductive-deductive thematic qualitative data analysis. Results: All 15 participants scanned and prioritized their email, and 13 of them checked their email daily. Participants mentioned (1) advantages of educational email alerts such as saving time, convenience and valid information, and (2) disadvantages such as an overwhelming number of emails and irrelevance. They offered suggestions to improve educational email. Conclusions: The advantages of email alerts seem to compensate for their disadvantages. Suggestions proposed by family physicians can help to improve educational email alerts. ",
doi="10.2196/jmir.3773",
url="http://www.jmir.org/2015/2/e49/",
url="http://www.ncbi.nlm.nih.gov/pubmed/25803184"
}


@Article{info:doi/10.2196/games.3825,
author="Graafland, Maurits
and Dankbaar, Mary
and Mert, Agali
and Lagro, Joep
and De Wit-Zuurendonk, Laura
and Schuit, Stephanie
and Schaafstal, Alma
and Schijven, Marlies",
title="How to Systematically Assess Serious Games Applied to Health Care",
journal="JMIR Serious Games",
year="2014",
month="Nov",
day="11",
volume="2",
number="2",
pages="e11",
keywords="consensus",
keywords="serious game",
keywords="applied game",
keywords="telehealth",
keywords="mobile health",
keywords="video game",
doi="10.2196/games.3825",
url="http://games.jmir.org/2014/2/e11/",
url="http://www.ncbi.nlm.nih.gov/pubmed/25654163"
}


@Article{info:doi/10.2196/jmir.3871,
author="Moseley, T. Edward
and Hsu, J. Douglas
and Stone, J. David
and Celi, Anthony Leo",
title="Beyond Open Big Data: Addressing Unreliable Research",
journal="J Med Internet Res",
year="2014",
month="Nov",
day="11",
volume="16",
number="11",
pages="e259",
keywords="open data",
keywords="unreliable research",
keywords="collaborative learning",
keywords="knowledge discovery",
keywords="peer review",
keywords="research culture",
doi="10.2196/jmir.3871",
url="http://www.jmir.org/2014/11/e259/",
url="http://www.ncbi.nlm.nih.gov/pubmed/25405277"
}


@Article{info:doi/10.2196/jmir.2849,
author="Smits, Rochelle
and Bryant, Jamie
and Sanson-Fisher, Rob
and Tzelepis, Flora
and Henskens, Frans
and Paul, Christine
and Stevenson, William",
title="Tailored and Integrated Web-Based Tools for Improving Psychosocial Outcomes of Cancer Patients: The DoTTI Development Framework",
journal="J Med Internet Res",
year="2014",
month="Mar",
day="14",
volume="16",
number="3",
pages="e76",
keywords="Internet",
keywords="consumer health information",
keywords="health literacy",
keywords="medical informatics",
keywords="neoplasms",
keywords="communication",
abstract="Background: Effective communication with cancer patients and their families about their disease, treatment options, and possible outcomes may improve psychosocial outcomes. However, traditional approaches to providing information to patients, including verbal information and written booklets, have a number of shortcomings centered on their limited ability to meet patient preferences and literacy levels. New-generation Web-based technologies offer an innovative and pragmatic solution for overcoming these limitations by providing a platform for interactive information seeking, information sharing, and user-centered tailoring. Objective: The primary goal of this paper is to discuss the advantages of comprehensive and iterative Web-based technologies for health information provision and propose a four-phase framework for the development of Web-based information tools. Methods: The proposed framework draws on our experience of constructing a Web-based information tool for hematological cancer patients and their families. The framework is based on principles for the development and evaluation of complex interventions and draws on the Agile methodology of software programming that emphasizes collaboration and iteration throughout the development process. Results: The DoTTI framework provides a model for a comprehensive and iterative approach to the development of Web-based informational tools for patients. The process involves 4 phases of development: (1) Design and development, (2) Testing early iterations, (3) Testing for effectiveness, and (4) Integration and implementation. At each step, stakeholders (including researchers, clinicians, consumers, and programmers) are engaged in consultations to review progress, provide feedback on versions of the Web-based tool, and based on feedback, determine the appropriate next steps in development. Conclusions: This 4-phase framework is evidence-informed and consumer-centered and could be applied widely to develop Web-based programs for a diverse range of diseases. ",
doi="10.2196/jmir.2849",
url="http://www.jmir.org/2014/3/e76/",
url="http://www.ncbi.nlm.nih.gov/pubmed/24641991"
}


@Article{info:doi/10.2196/jmir.2925,
author="Baker, B. Timothy
and Gustafson, H. David
and Shah, Dhavan",
title="How Can Research Keep Up With eHealth? Ten Strategies for Increasing the Timeliness and Usefulness of eHealth Research",
journal="J Med Internet Res",
year="2014",
month="Feb",
day="19",
volume="16",
number="2",
pages="e36",
keywords="social media",
keywords="Internet",
keywords="randomized clinical trials",
keywords="experimental designs",
keywords="research techniques",
keywords="patient education",
keywords="patient engagement",
keywords="health communication",
keywords="telemedicine",
abstract="Background: eHealth interventions appear and change so quickly that they challenge the way we conduct research. By the time a randomized trial of a new intervention is published, technological improvements and clinical discoveries may make the intervention dated and unappealing. This and the spate of health-related apps and websites may lead consumers, patients, and caregivers to use interventions that lack evidence of efficacy. Objective: This paper aims to offer strategies for increasing the speed and usefulness of eHealth research. Methods: The paper describes two types of strategies based on the authors' own research and the research literature: those that improve the efficiency of eHealth research, and those that improve its quality. Results: Efficiency strategies include: (1) think small: conduct small studies that can target discrete but significant questions and thereby speed knowledge acquisition; (2) use efficient designs: use such methods as fractional-factorial and quasi-experimental designs and surrogate endpoints, and experimentally modify and evaluate interventions and delivery systems already in use; (3) study universals: focus on timeless behavioral, psychological, and cognitive principles and systems; (4) anticipate the next big thing: listen to voices outside normal practice and connect different perspectives for new insights; (5) improve information delivery systems: researchers should apply their communications expertise to enhance inter-researcher communication, which could synergistically accelerate progress and capitalize upon the availability of ``big data''; and  (6) develop models, including mediators and moderators: valid models are remarkably generative, and tests of moderation and mediation should elucidate boundary conditions of effects and treatment mechanisms. Quality strategies include: (1) continuous quality improvement:  researchers need to borrow engineering practices such as the continuous enhancement of interventions to incorporate clinical and technological progress; (2) help consumers identify quality: consumers, clinicians, and others all need to easily identify quality, suggesting the need to efficiently and publicly index intervention quality; (3) reduce the costs of care: concern with health care costs can drive intervention adoption and use and lead to novel intervention effects (eg, reduced falls in the elderly); and (4) deeply understand users: a rigorous evaluation of the consumer's needs is a key starting point for intervention development. Conclusions: The challenges of distinguishing and distributing scientifically validated interventions are formidable. The strategies described are meant to spur discussion and further thinking, which are important, given the potential of eHealth interventions to help patients and families. ",
doi="10.2196/jmir.2925",
url="http://www.jmir.org/2014/2/e36/",
url="http://www.ncbi.nlm.nih.gov/pubmed/24554442"
}


@Article{info:doi/10.2196/jmir.2452,
author="Putora, Martin Paul
and Oldenburg, Jan",
title="Swarm-Based Medicine",
journal="J Med Internet Res",
year="2013",
month="Sep",
day="19",
volume="15",
number="9",
pages="e207",
keywords="swarm",
keywords="evidence",
keywords="eminence",
keywords="guidelines",
keywords="recommendations",
doi="10.2196/jmir.2452",
url="http://www.jmir.org/2013/9/e207/",
url="http://www.ncbi.nlm.nih.gov/pubmed/24052454"
}


@Article{info:doi/10.2196/jmir.2366,
author="Brumen, Bostjan
and Heri{\v c}ko, Marjan
and Rozman, Ivan
and H{\"o}lbl, Marko",
title="Security Analysis and Improvements to the PsychoPass Method",
journal="J Med Internet Res",
year="2013",
month="Aug",
day="13",
volume="15",
number="8",
pages="e161",
keywords="security",
keywords="passwords",
keywords="cryptanalysis",
abstract="Background: In a recent paper, Pietro Cipresso et al proposed the PsychoPass method, a simple way to create strong passwords that are easy to remember. However, the method has some security issues that need to be addressed. Objective: To perform a security analysis on the PsychoPass method and outline the limitations of and possible improvements to the method. Methods: We used the brute force analysis and dictionary attack analysis of the PsychoPass method to outline its weaknesses. Results: The first issue with the Psychopass method is that it requires the password reproduction on the same keyboard layout as was used to generate the password. The second issue is a security weakness: although the produced password is 24 characters long, the password is still weak. We elaborate on the weakness and propose a solution that produces strong passwords. The proposed version first requires the use of the SHIFT and ALT-GR keys in combination with other keys, and second, the keys need to be 1-2 distances apart. Conclusions: The proposed improved PsychoPass method yields passwords that can be broken only in hundreds of years based on current computing powers. The proposed  PsychoPass method requires 10 keys, as opposed to 20 keys in the original method, for comparable password strength. ",
doi="10.2196/jmir.2366",
url="http://www.jmir.org/2013/8/e161/",
url="http://www.ncbi.nlm.nih.gov/pubmed/23942458"
}


@Article{info:doi/10.2196/jmir.2250,
author="Scott, E. Richard
and Mars, Maurice",
title="Principles and Framework for eHealth Strategy Development",
journal="J Med Internet Res",
year="2013",
month="Jul",
day="30",
volume="15",
number="7",
pages="e155",
keywords="eHealth strategy",
keywords="eHealth strategy development framework",
keywords="eHealth",
keywords="telehealth",
keywords="telemedicine",
keywords="e-learning",
doi="10.2196/jmir.2250",
url="http://www.jmir.org/2013/7/e155/",
url="http://www.ncbi.nlm.nih.gov/pubmed/23900066"
}


@Article{info:doi/10.2196/mhealth.2654,
author="Zhong, Daidi
and Kirwan, J. Michael
and Duan, Xiaolian",
title="Regulatory Barriers Blocking Standardization of Interoperability",
journal="JMIR Mhealth Uhealth",
year="2013",
month="Jul",
day="12",
volume="1",
number="2",
pages="e13",
keywords="medical device regulation",
keywords="device interoperability",
keywords="personal health device",
keywords="standardization",
doi="10.2196/mhealth.2654",
url="http://mhealth.jmir.org/2013/2/e13/",
url="http://www.ncbi.nlm.nih.gov/pubmed/25098204"
}


@Article{info:doi/10.2196/jmir.1674,
author="van Limburg, Maarten
and van Gemert-Pijnen, EWC Julia
and Nijland, Nicol
and Ossebaard, C. Hans
and Hendrix, MG Ron
and Seydel, R. Erwin",
title="Why Business Modeling is Crucial in the Development of eHealth Technologies",
journal="J Med Internet Res",
year="2011",
month="Dec",
day="28",
volume="13",
number="4",
pages="e124",
keywords="Business model",
keywords="cocreation",
keywords="collaboration",
keywords="eHealth",
keywords="implementation",
keywords="multidisciplinary",
keywords="stakeholder",
keywords="sustainability",
keywords="value creation",
abstract="The impact and uptake of information and communication technologies that support health care are rather low. Current frameworks for eHealth development suffer from a lack of fitting infrastructures, inability to find funding, complications with scalability, and uncertainties regarding effectiveness and sustainability. These issues can be addressed by defining a better implementation strategy early in the development of eHealth technologies. A business model, and thus business modeling, help to determine such an implementation strategy by involving all important stakeholders in a value-driven dialogue on what the technology should accomplish. This idea also seems promising to eHealth, as it can contribute to the whole development of eHealth technology. We therefore suggest that business modeling can be used as an effective approach to supporting holistic development of eHealth technologies. The contribution of business modeling is elaborated in this paper through a literature review that covers the latest business model research, concepts from the latest eHealth and persuasive technology research, evaluation and insights from our prior eHealth research, as well as the review conducted in the first paper of this series. Business modeling focuses on generating a collaborative effort of value cocreation in which all stakeholders reflect on the value needs of the others. The resulting business model acts as the basis for implementation. The development of eHealth technology should focus more on the context by emphasizing what this technology should contribute in practice to the needs of all involved stakeholders. Incorporating the idea of business modeling helps to cocreate and formulate a set of critical success factors that will influence the sustainability and effectiveness of eHealth technology. ",
doi="10.2196/jmir.1674",
url="http://www.jmir.org/2011/4/e124/",
url="http://www.ncbi.nlm.nih.gov/pubmed/22204896"
}


@Article{info:doi/10.2196/jmir.1672,
author="van Gemert-Pijnen, EWC Julia
and Nijland, Nicol
and van Limburg, Maarten
and Ossebaard, C. Hans
and Kelders, M. Saskia
and Eysenbach, Gunther
and Seydel, R. Erwin",
title="A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies",
journal="J Med Internet Res",
year="2011",
month="Dec",
day="13",
volume="13",
number="4",
pages="e111",
keywords="eHealth",
keywords="design",
keywords="participation",
keywords="implementation",
keywords="evaluation",
keywords="multidisciplinary approach",
keywords="Health 2.0",
keywords="Wiki",
keywords="e-collaboration",
abstract="Background: Many eHealth technologies are not successful in realizing sustainable innovations in health care practices. One of the reasons for this is that the current development of eHealth technology often disregards the interdependencies between technology, human characteristics, and the socioeconomic environment, resulting in technology that has a low impact in health care practices. To overcome the hurdles with eHealth design and implementation, a new, holistic approach to the development of eHealth technologies is needed, one that takes into account the complexity of health care and the rituals and habits of patients and other stakeholders. Objective: The aim of this viewpoint paper is to improve the uptake and impact of eHealth technologies by advocating a holistic approach toward their development and eventual integration in the health sector. Methods: To identify the potential and limitations of current eHealth frameworks (1999--2009), we carried out a literature search in the following electronic databases: PubMed, ScienceDirect, Web of Knowledge, PiCarta, and Google Scholar. Of the 60 papers that were identified, 44 were selected for full review. We excluded those papers that did not describe hands-on guidelines or quality criteria for the design, implementation, and evaluation of eHealth technologies (28 papers). From the results retrieved, we identified 16 eHealth frameworks that matched the inclusion criteria. The outcomes were used to posit strategies and principles for a holistic approach toward the development of eHealth technologies; these principles underpin our holistic eHealth framework. Results: A total of 16 frameworks qualified for a final analysis, based on their theoretical backgrounds and visions on eHealth, and the strategies and conditions for the research and development of eHealth technologies. Despite their potential, the relationship between the visions on eHealth, proposed strategies, and research methods is obscure, perhaps due to a rather conceptual approach that focuses on the rationale behind the frameworks rather than on practical guidelines. In addition, the Web 2.0 technologies that call for a more stakeholder-driven approach are beyond the scope of current frameworks. To overcome these limitations, we composed a holistic framework based on a participatory development approach, persuasive design techniques, and business modeling. Conclusions: To demonstrate the impact of eHealth technologies more effectively, a fresh way of thinking is required about how technology can be used to innovate health care. It also requires new concepts and instruments to develop and implement technologies in practice. The proposed framework serves as an evidence-based roadmap. ",
doi="10.2196/jmir.1672",
url="http://www.jmir.org/2011/4/e111/",
url="http://www.ncbi.nlm.nih.gov/pubmed/22155738"
}


@Article{info:doi/10.2196/jmir.1669,
author="Zanaboni, Paolo
and Lettieri, Emanuele",
title="Institutionalizing Telemedicine Applications: The Challenge of Legitimizing Decision-Making",
journal="J Med Internet Res",
year="2011",
month="Sep",
day="28",
volume="13",
number="3",
pages="e72",
keywords="Telemedicine",
keywords="decision making",
keywords="institutionalization",
keywords="technology assessment",
keywords="implementation",
keywords="program sustainability",
doi="10.2196/jmir.1669",
url="http://www.jmir.org/2011/3/e72/",
url="http://www.ncbi.nlm.nih.gov/pubmed/21955510"
}


@Article{info:doi/10.2196/jmir.1867,
author="Kuo, Mu-Hsing Alex",
title="Opportunities and Challenges of Cloud Computing to Improve Health Care Services",
journal="J Med Internet Res",
year="2011",
month="Sep",
day="21",
volume="13",
number="3",
pages="e67",
keywords="Health care",
keywords="electronic health record",
keywords="cloud computing",
keywords="bioinformatics",
keywords="quality improvement",
doi="10.2196/jmir.1867",
url="http://www.jmir.org/2011/3/e67/",
url="http://www.ncbi.nlm.nih.gov/pubmed/21937354"
}