TY - JOUR AU - Trinh, Simon AU - Skoll, Devin AU - Saxon, Ann Leslie PY - 2025/4/23 TI - Health Care 2025: How Consumer-Facing Devices Change Health Management and Delivery JO - J Med Internet Res SP - e60766 VL - 27 KW - decentralized KW - digital health KW - consumer KW - health care KW - COVID-19 KW - wearables KW - medical devices KW - health management KW - mHealth KW - wearable KW - well-being KW - care delivery UR - https://www.jmir.org/2025/1/e60766 UR - http://dx.doi.org/10.2196/60766 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/60766 ER - TY - JOUR AU - Hussein, Rada AU - Gyrard, Amelie AU - Abedian, Somayeh AU - Gribbon, Philip AU - Martínez, Alabart Sara PY - 2025/4/23 TI - 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 JO - J Med Internet Res SP - e69813 VL - 27 KW - artificial intelligence KW - European Health Data Space KW - European interoperability framework KW - healthcare standards interoperability KW - secondary use of health data UR - https://www.jmir.org/2025/1/e69813 UR - http://dx.doi.org/10.2196/69813 UR - http://www.ncbi.nlm.nih.gov/pubmed/40266673 ID - info:doi/10.2196/69813 ER - TY - JOUR AU - Kapitan, Daniel AU - Heddema, Femke AU - Dekker, André AU - Sieswerda, Melle AU - Verhoeff, Bart-Jan AU - Berg, Matt PY - 2025/4/15 TI - Data Interoperability in Context: The Importance of Open-Source Implementations When Choosing Open Standards JO - J Med Internet Res SP - e66616 VL - 27 KW - FHIR KW - OMOP KW - openEHR KW - health care informatics KW - information standards KW - secondary use KW - digital platform KW - data sharing KW - data interoperability KW - open source implementations KW - open standards KW - Fast Health Interoperability Resources KW - Observational Medical Outcomes Partnership KW - clinical care KW - data exchange KW - longitudinal analysis KW - low income KW - middle-income KW - LMIC KW - low and middle-income countries KW - developing countries KW - developing nations KW - health information exchange UR - https://www.jmir.org/2025/1/e66616 UR - http://dx.doi.org/10.2196/66616 UR - http://www.ncbi.nlm.nih.gov/pubmed/40232773 ID - info:doi/10.2196/66616 ER - TY - JOUR AU - AU - Caviglia, Marta PY - 2025/4/10 TI - Bridging Data Gaps in Emergency Care: The NIGHTINGALE Project and the Future of AI in Mass Casualty Management JO - J Med Internet Res SP - e67318 VL - 27 KW - AI KW - technology KW - mass casualty incident KW - incident management KW - artificial intelligence KW - emergency care KW - MCI KW - data gaps KW - tool UR - https://www.jmir.org/2025/1/e67318 UR - http://dx.doi.org/10.2196/67318 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/67318 ER - TY - JOUR AU - Templeton, Michael John AU - Poellabauer, Christian AU - Schneider, Sandra AU - Rahimi, Morteza AU - Braimoh, Taofeek AU - Tadamarry, Fhaheem AU - Margolesky, Jason AU - Burke, Shanna AU - Al Masry, Zeina PY - 2025/4/4 TI - Modernizing the Staging of Parkinson Disease Using Digital Health Technology JO - J Med Internet Res SP - e63105 VL - 27 KW - digital health KW - Parkinson disease KW - disease classification KW - wearables KW - personalized medicine KW - neurocognition KW - artificial intelligence KW - AI UR - https://www.jmir.org/2025/1/e63105 UR - http://dx.doi.org/10.2196/63105 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/63105 ER - TY - JOUR AU - Kim, Jaehyun AU - Oh, Hayoung AU - Yoon, Sungmin Anderson PY - 2025/3/27 TI - Mindfulness-Based Cognitive Therapy?Game: An Ironic Way to Treat Internet Gaming Disorder JO - J Med Internet Res SP - e65786 VL - 27 KW - cognitive behavior therapy KW - psychosocial intervention KW - video games KW - internet gaming disorder KW - internet addiction KW - mindfulness KW - mental health UR - https://www.jmir.org/2025/1/e65786 UR - http://dx.doi.org/10.2196/65786 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/65786 ER - TY - JOUR AU - Schmit, D. Cason AU - O?Connell, Curry Meghan AU - Shewbrooks, Sarah AU - Abourezk, Charles AU - Cochlin, J. Fallon AU - Doerr, Megan AU - Kum, Hye-Chung PY - 2025/3/26 TI - 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 JO - J Med Internet Res SP - e70983 VL - 27 KW - ethics KW - information dissemination KW - indigenous peoples KW - public health surveillance KW - privacy KW - data sharing KW - deidentification KW - data anonymization KW - public health ethics KW - data governance UR - https://www.jmir.org/2025/1/e70983 UR - http://dx.doi.org/10.2196/70983 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/70983 ER - TY - JOUR AU - Li, Lan AU - Back, Emma AU - Lee, Suna AU - Shipley, Rebecca AU - Mapitse, Néo AU - Elbe, Stefan AU - Smallman, Melanie AU - Wilson, James AU - Yasin, Ifat AU - Rees, Geraint AU - Gordon, Ben AU - Murray, Virginia AU - Roberts, L. Stephen AU - Cupani, Anna AU - Kostkova, Patty PY - 2025/3/25 TI - Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems JO - J Med Internet Res SP - e57237 VL - 27 KW - health policy KW - data sharing KW - digital healthcare KW - healthcare system KW - ecosystems KW - technologies KW - decision-making KW - data privacy KW - data protection KW - social media KW - application programming interfaces UR - https://www.jmir.org/2025/1/e57237 UR - http://dx.doi.org/10.2196/57237 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/57237 ER - TY - JOUR AU - Reed, Julie AU - Svedberg, Petra AU - Nygren, Jens PY - 2025/3/24 TI - Enhancing the Innovation Ecosystem: Overcoming Challenges to Introducing Information-Driven Technologies in Health Care JO - J Med Internet Res SP - e56836 VL - 27 KW - artificial intelligence KW - ecosystem KW - health care KW - implementation KW - technology adoption KW - improvement KW - complex-systems UR - https://www.jmir.org/2025/1/e56836 UR - http://dx.doi.org/10.2196/56836 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/56836 ER - TY - JOUR AU - Gyrard, Amelie AU - Abedian, Somayeh AU - Gribbon, Philip AU - Manias, George AU - van Nuland, Rick AU - Zatloukal, Kurt AU - Nicolae, Emilia Irina AU - Danciu, Gabriel AU - Nechifor, Septimiu AU - Marti-Bonmati, Luis AU - Mallol, Pedro AU - Dalmiani, Stefano AU - Autexier, Serge AU - Jendrossek, Mario AU - Avramidis, Ioannis AU - Garcia Alvarez, Eva AU - Holub, Petr AU - Blanquer, Ignacio AU - Boden, Anna AU - Hussein, Rada PY - 2025/3/24 TI - Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability JO - J Med Internet Res SP - e66273 VL - 27 KW - artificial intelligence KW - cancer KW - European Health Data Space KW - health care standards KW - interoperability KW - AI KW - health data KW - cancer use cases KW - IoT KW - Internet of Things KW - primary data KW - diagnosis KW - prognosis KW - decision-making UR - https://www.jmir.org/2025/1/e66273 UR - http://dx.doi.org/10.2196/66273 UR - http://www.ncbi.nlm.nih.gov/pubmed/40126534 ID - info:doi/10.2196/66273 ER - TY - JOUR AU - Schwarz, Julian AU - Meier-Diedrich, Eva AU - Scholten, Matthé AU - Stephenson, Lucy AU - Torous, John AU - Wurster, Florian AU - Blease, Charlotte PY - 2025/3/18 TI - Integration of Psychiatric Advance Directives Into the Patient-Accessible Electronic Health Record: Exploring the Promise and Limitations JO - J Med Internet Res SP - e68549 VL - 27 KW - advance statements KW - advance choice documents KW - advance care planning KW - mental health KW - online record access KW - patient accessible electronic health records KW - interoperability KW - fast healthcare interoperability eesources KW - FHIR KW - self-binding directives KW - mobile phone UR - https://www.jmir.org/2025/1/e68549 UR - http://dx.doi.org/10.2196/68549 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/68549 ER - TY - JOUR AU - Cresswell, Kathrin AU - Jahn, Franziska AU - Silsand, Line AU - Woods, Leanna AU - Postema, Tim AU - Logan, Marion AU - Malkic, Sevala AU - Ammenwerth, Elske PY - 2025/3/6 TI - Assessing Digital Maturity of Hospitals: Viewpoint Comparing National Approaches in Five Countries JO - J Med Internet Res SP - e57858 VL - 27 KW - digital maturity KW - hospitals KW - assessment KW - decision making KW - health systems KW - infancy KW - Australia KW - Australian KW - data collection KW - data KW - qualitative thematic analysis KW - self-reporting KW - practical feasibility KW - long-term tracking KW - local data KW - monitoring UR - https://www.jmir.org/2025/1/e57858 UR - http://dx.doi.org/10.2196/57858 UR - http://www.ncbi.nlm.nih.gov/pubmed/40053724 ID - info:doi/10.2196/57858 ER - TY - JOUR AU - Uddin, Jamal AU - Feng, Cheng AU - Xu, Junfang PY - 2025/3/6 TI - Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era JO - J Med Internet Res SP - e66032 VL - 27 KW - internet KW - generative AI KW - artificial intelligence KW - ChatGPT KW - health communication KW - health promotion KW - health disparity KW - health KW - communication KW - AI KW - generative KW - tool KW - genAI KW - gratification theory KW - gratification KW - public health KW - inequity KW - disparity UR - https://www.jmir.org/2025/1/e66032 UR - http://dx.doi.org/10.2196/66032 UR - http://www.ncbi.nlm.nih.gov/pubmed/40053755 ID - info:doi/10.2196/66032 ER - TY - JOUR AU - Tawfik, Daniel AU - Rule, Adam AU - Alexanian, Aram AU - Cross, Dori AU - Holmgren, Jay A. AU - Lou, S. Sunny AU - McPeek Hinz, Eugenia AU - Rose, Christian AU - Viswanadham, N. Ratnalekha V. AU - Mishuris, G. Rebecca AU - Rodríguez-Fernández, M. Jorge AU - Ford, W. Eric AU - Florig, T. Sarah AU - Sinsky, A. Christine AU - Apathy, C. Nate PY - 2025/3/6 TI - Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata JO - J Med Internet Res SP - e64721 VL - 27 KW - metadata KW - health services research KW - audit logs KW - event logs KW - electronic health record data KW - health care delivery KW - patient care KW - healthcare teams KW - clinician-patient relationship KW - cognitive environment UR - https://www.jmir.org/2025/1/e64721 UR - http://dx.doi.org/10.2196/64721 UR - http://www.ncbi.nlm.nih.gov/pubmed/40053814 ID - info:doi/10.2196/64721 ER - TY - JOUR AU - Mandel, L. Hannah AU - Shah, N. Shruti AU - Bailey, Charles L. AU - Carton, Thomas AU - Chen, Yu AU - Esquenazi-Karonika, Shari AU - Haendel, Melissa AU - Hornig, Mady AU - Kaushal, Rainu AU - Oliveira, R. Carlos AU - Perlowski, A. Alice AU - Pfaff, Emily AU - Rao, Suchitra AU - Razzaghi, Hanieh AU - Seibert, Elle AU - Thomas, L. Gelise AU - Weiner, G. Mark AU - Thorpe, E. Lorna AU - Divers, Jasmin AU - PY - 2025/3/5 TI - Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative JO - J Med Internet Res SP - e59217 VL - 27 KW - COVID-19 KW - SARS-CoV-2 KW - Long COVID, post-acute COVID-19 syndrome KW - electronic health records KW - machine learning KW - public health surveillance KW - post-infection syndrome KW - medical informatics KW - electronic medical record KW - electronic health record network KW - electronic health record data KW - clinical research network KW - clinical data research network KW - common data model KW - digital health KW - infection KW - respiratory KW - infectious KW - epidemiological KW - pandemic UR - https://www.jmir.org/2025/1/e59217 UR - http://dx.doi.org/10.2196/59217 UR - http://www.ncbi.nlm.nih.gov/pubmed/40053748 ID - info:doi/10.2196/59217 ER - TY - JOUR AU - Parciak, Marcel AU - Pierlet, Noëlla AU - Peeters, M. Liesbet PY - 2025/3/4 TI - Empowering Health Care Actors to Contribute to the Implementation of Health Data Integration Platforms: Retrospective of the medEmotion Project JO - J Med Internet Res SP - e68083 VL - 27 KW - data science KW - health data integration KW - health data platform KW - real-world evidence KW - health care KW - health data KW - data KW - integration platforms KW - collaborative KW - platform KW - Belgium KW - Europe KW - personas KW - communication KW - health care providers KW - hospital-specific requirements KW - digital health UR - https://www.jmir.org/2025/1/e68083 UR - http://dx.doi.org/10.2196/68083 UR - http://www.ncbi.nlm.nih.gov/pubmed/40053761 ID - info:doi/10.2196/68083 ER - TY - JOUR AU - De la Torre, Katherine AU - Min, Sukhong AU - Lee, Hyobin AU - Kang, Daehee PY - 2025/2/27 TI - The Application of Preventive Medicine in the Future Digital Health Era JO - J Med Internet Res SP - e59165 VL - 27 KW - preventive medicine KW - personalized prevention KW - digital health technology KW - digital health KW - artificial intelligence KW - wearable devices KW - telemedicine UR - https://www.jmir.org/2025/1/e59165 UR - http://dx.doi.org/10.2196/59165 UR - http://www.ncbi.nlm.nih.gov/pubmed/40053712 ID - info:doi/10.2196/59165 ER - TY - JOUR AU - Ramesh, Harini Shri AU - Jull, Darwin AU - Fournier, Hélčne AU - Rajabiyazdi, Fateme PY - 2025/2/21 TI - Exploring Barriers to Patients? Progression in the Cardiac Rehabilitation Journey From Health Care Providers? Perspectives: Qualitative Study JO - Interact J Med Res SP - e66164 VL - 14 KW - cardiac rehabilitation KW - health care providers KW - CR patient journey KW - qualitative study KW - barriers KW - technology N2 - 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. UR - https://www.i-jmr.org/2025/1/e66164 UR - http://dx.doi.org/10.2196/66164 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/66164 ER - TY - JOUR AU - Smith, Samuel AU - Maisrikrod, Shalisa PY - 2025/2/10 TI - Wearable Electrocardiogram Technology: Help or Hindrance to the Modern Doctor? JO - JMIR Cardio SP - e62719 VL - 9 KW - mobile applications KW - electrocardiogram KW - wearable monitoring KW - app KW - wearable KW - electrocardiograph KW - ECG KW - electrocardiography KW - mobile app KW - tool KW - ischemic KW - arrhythmia KW - wearable ECG KW - doctor KW - smartwatch KW - atrial fibrillation UR - https://cardio.jmir.org/2025/1/e62719 UR - http://dx.doi.org/10.2196/62719 ID - info:doi/10.2196/62719 ER - TY - JOUR AU - Bakker, P. Jessie AU - McClenahan, J. Samantha AU - Fromy, Piper AU - Turner, Simon AU - Peterson, T. Barry AU - Vandendriessche, Benjamin AU - Goldsack, C. Jennifer PY - 2025/2/7 TI - A Hierarchical Framework for Selecting Reference Measures for the Analytical Validation of Sensor-Based Digital Health Technologies JO - J Med Internet Res SP - e58956 VL - 27 KW - digital health technologies KW - analytical validation KW - digital medicine KW - reference measures KW - fit-for-purpose digital clinical measures UR - https://www.jmir.org/2025/1/e58956 UR - http://dx.doi.org/10.2196/58956 UR - http://www.ncbi.nlm.nih.gov/pubmed/39918870 ID - info:doi/10.2196/58956 ER - TY - JOUR AU - de Ligt, M. Kelly AU - Hommes, Saar AU - Vromans, D. Ruben AU - Boomstra, Eva AU - van de Poll, V. Lonneke AU - Krahmer, J. Emiel PY - 2025/2/5 TI - Improving the Implementation of Patient-Reported Outcome Measure in Clinical Practice: Tackling Current Challenges With Innovative Digital Communication Technologies JO - J Med Internet Res SP - e60777 VL - 27 KW - patient reported outcome measures KW - quality of life KW - health communication KW - delivery of health care KW - digital sciences KW - clinical practice: patient reported outcomes KW - patient reported outcome KW - digital communication KW - communication KW - health management KW - digital technologies UR - https://www.jmir.org/2025/1/e60777 UR - http://dx.doi.org/10.2196/60777 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/60777 ER - TY - JOUR AU - Varghese, Julian AU - Bickmann, Lucas AU - Strünker, Timo AU - Neuhaus, Nina AU - Tüttelmann, Frank AU - Sandmann, Sarah PY - 2025/2/3 TI - Publication Counts in Context: Normalization Using Query and Reference Terms in PubMed JO - J Med Internet Res SP - e60616 VL - 27 KW - publication database KW - science communication KW - citation KW - H-index KW - normalization KW - publication KW - trend KW - scientometrics KW - scholarly UR - https://www.jmir.org/2025/1/e60616 UR - http://dx.doi.org/10.2196/60616 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/60616 ER - TY - JOUR AU - Werder, Karl AU - Cao, Lan AU - Park, Hee Eun AU - Ramesh, Balasubramaniam PY - 2025/1/31 TI - Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective JO - J Med Internet Res SP - e51785 VL - 27 KW - artificial intelligence KW - AI monitoring KW - emotion KW - resistance KW - health care UR - https://www.jmir.org/2025/1/e51785 UR - http://dx.doi.org/10.2196/51785 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/51785 ER - TY - JOUR AU - Figueroa, A. Caroline AU - Torkamaan, Helma AU - Bhattacharjee, Ananya AU - Hauptmann, Hanna AU - Guan, W. Kathleen AU - Sedrakyan, Gayane PY - 2025/1/30 TI - Designing Health Recommender Systems to Promote Health Equity: A Socioecological Perspective JO - J Med Internet Res SP - e60138 VL - 27 KW - digital health KW - health promotion KW - health recommender systems KW - artificial intelligence KW - health equity KW - AI KW - digital devices KW - socioecological KW - health inequities KW - health behavior KW - health behaviors KW - patient centric KW - digital health intervention UR - https://www.jmir.org/2025/1/e60138 UR - http://dx.doi.org/10.2196/60138 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/60138 ER - TY - JOUR AU - Lamprell, Klay AU - Pulido, Fajardo Diana AU - Arnolda, Gaston AU - Easpaig, Giolla Bróna Nic AU - Tran, Yvonne AU - Braithwaite, Jeffrey PY - 2025/1/23 TI - From Stories to Solutions: A Research Cycle Framework for Enhancing Trustworthiness in Studies of Online Patient Narratives JO - J Med Internet Res SP - e58310 VL - 27 KW - online research KW - exploratory study KW - patient experience KW - patient narratives KW - narrative analysis KW - mixed methods KW - young-onset colorectal cancer KW - cancer KW - oncology KW - internal medicine N2 - International Registered Report Identifier (IRRID): RR2-10.2196/25056 UR - https://www.jmir.org/2025/1/e58310 UR - http://dx.doi.org/10.2196/58310 UR - http://www.ncbi.nlm.nih.gov/pubmed/39847425 ID - info:doi/10.2196/58310 ER - TY - JOUR AU - Ivanova, Julia AU - Cummins, R. Mollie AU - Ong, Triton AU - Soni, Hiral AU - Barrera, Janelle AU - Wilczewski, Hattie AU - Welch, Brandon AU - Bunnell, Brian PY - 2025/1/23 TI - Regulation and Compliance in Telemedicine: Viewpoint JO - J Med Internet Res SP - e53558 VL - 27 KW - telemedicine KW - telehealth KW - policy KW - COVID-19 KW - PHE KW - rules and regulations KW - compliance KW - privacy and security KW - regulation KW - rule KW - public health KW - US KW - United States KW - implementation KW - regulatory KW - professional KW - organizational KW - ethical KW - concern KW - privacy KW - security KW - government literature KW - law KW - health care KW - patient UR - https://www.jmir.org/2025/1/e53558 UR - http://dx.doi.org/10.2196/53558 UR - http://www.ncbi.nlm.nih.gov/pubmed/39847413 ID - info:doi/10.2196/53558 ER - TY - JOUR AU - Bazzano, N. Alessandra AU - Mantsios, Andrea AU - Mattei, Nicholas AU - Kosorok, R. Michael AU - Culotta, Aron PY - 2025/1/22 TI - AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core JO - J Med Internet Res SP - e68198 VL - 27 KW - Artificial Intelligence KW - Generative Artificial Intelligence KW - Citizen Science KW - Community Participation KW - Innovation Diffusion UR - https://www.jmir.org/2025/1/e68198 UR - http://dx.doi.org/10.2196/68198 UR - http://www.ncbi.nlm.nih.gov/pubmed/39841529 ID - info:doi/10.2196/68198 ER - TY - JOUR AU - Ruby, Emma AU - Ramlawi, Serine AU - Bowie, Clare Alexa AU - Boyd, Stephanie AU - Dingwall-Harvey, Alysha AU - Rennicks White, Ruth AU - El-Chaâr, Darine AU - Walker, Mark PY - 2025/1/20 TI - Identifying Fraudulent Responses in a Study Exploring Delivery Options for Pregnancies Impacted by Gestational Diabetes: Lessons Learned From a Web-Based Survey JO - J Med Internet Res SP - e58450 VL - 27 KW - research fraud KW - anonymous online research KW - data integrity KW - fraudulent responses KW - web-based survey KW - internet research KW - perinatal health KW - social media KW - patient participation KW - provider participation KW - fraudulent KW - fraud KW - pregnancy KW - gestational diabetes KW - diabetes KW - data analysis KW - survey KW - diabetes mellitus KW - patient KW - evidence-based UR - https://www.jmir.org/2025/1/e58450 UR - http://dx.doi.org/10.2196/58450 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58450 ER - TY - JOUR AU - Zhang, Lan AU - Bullen, Christopher AU - Chen, Jinsong PY - 2025/1/20 TI - Digital Health Innovations to Catalyze the Transition to Value-Based Health Care JO - JMIR Med Inform SP - e57385 VL - 13 KW - digital health KW - value-based health care KW - VBHC KW - patient-reported outcome measures KW - PROM KW - digital transformation KW - health care innovation KW - patient-centric care KW - health technology KW - patient-reported outcome KW - PRO KW - outcome measure KW - telehealth KW - telemedicine KW - eHealth KW - personalized KW - customized KW - engagement KW - patient-centered care KW - standardization KW - implementation UR - https://medinform.jmir.org/2025/1/e57385 UR - http://dx.doi.org/10.2196/57385 ID - info:doi/10.2196/57385 ER - TY - JOUR AU - Sezgin, Emre AU - Kocaballi, Baki Ahmet PY - 2025/1/20 TI - Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications JO - J Med Internet Res SP - e69007 VL - 27 KW - messaging apps KW - public health communication KW - language models KW - artificial intelligence KW - AI KW - generative AI KW - conversational AI UR - https://www.jmir.org/2025/1/e69007 UR - http://dx.doi.org/10.2196/69007 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/69007 ER - TY - JOUR AU - Gabrielli, Silvia AU - Mayora Ibarra, Oscar AU - Forti, Stefano PY - 2025/1/16 TI - A Holistic Digital Health Framework to Support Health Prevention Strategies in the First 1000 Days JO - JMIR Pediatr Parent SP - e55235 VL - 8 KW - digital health KW - digital therapeutics KW - behavioral intervention technology KW - prevention KW - citizen science KW - first 1000 days UR - https://pediatrics.jmir.org/2025/1/e55235 UR - http://dx.doi.org/10.2196/55235 ID - info:doi/10.2196/55235 ER - TY - JOUR AU - Gille, Felix AU - Maaß, Laura AU - Ho, Benjamin AU - Srivastava, Divya PY - 2025/1/15 TI - From Theory to Practice: Viewpoint on Economic Indicators for Trust in Digital Health JO - J Med Internet Res SP - e59111 VL - 27 KW - trust KW - economics KW - digital health KW - digital health innovation KW - artificial intelligence KW - AI KW - economic evaluation KW - public trust KW - health data KW - medical apps UR - https://www.jmir.org/2025/1/e59111 UR - http://dx.doi.org/10.2196/59111 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/59111 ER - TY - JOUR AU - Kip, Hanneke AU - Beerlage-de Jong, Nienke AU - van Gemert-Pijnen, C. Lisette J. E. W. AU - Kelders, M. Saskia PY - 2025/1/13 TI - The CeHRes Roadmap 2.0: Update of a Holistic Framework for Development, Implementation, and Evaluation of eHealth Technologies JO - J Med Internet Res SP - e59601 VL - 27 KW - eHealth development KW - eHealth implementation KW - CeHRes Roadmap KW - participatory development KW - human-centered design KW - persuasive design KW - eHealth framework UR - https://www.jmir.org/2025/1/e59601 UR - http://dx.doi.org/10.2196/59601 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/59601 ER - TY - JOUR AU - van den Broek-Altenburg, M. Eline AU - Atherly, J. Adam PY - 2025/1/10 TI - The Paradigm Shift From Patient to Health Consumer: 20 Years of Value Assessment in Health JO - J Med Internet Res SP - e60443 VL - 27 KW - value assessment KW - cost-effectiveness KW - quality-adjusted life-years KW - QALY KW - health consumer KW - health technology KW - value based KW - digital health KW - patient centered KW - preferences KW - health economics UR - https://www.jmir.org/2025/1/e60443 UR - http://dx.doi.org/10.2196/60443 UR - http://www.ncbi.nlm.nih.gov/pubmed/39793021 ID - info:doi/10.2196/60443 ER - TY - JOUR AU - Zhang, Kuo AU - Meng, Xiangbin AU - Yan, Xiangyu AU - Ji, Jiaming AU - Liu, Jingqian AU - Xu, Hua AU - Zhang, Heng AU - Liu, Da AU - Wang, Jingjia AU - Wang, Xuliang AU - Gao, Jun AU - Wang, Yuan-geng-shuo AU - Shao, Chunli AU - Wang, Wenyao AU - Li, Jiarong AU - Zheng, Ming-Qi AU - Yang, Yaodong AU - Tang, Yi-Da PY - 2025/1/7 TI - Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine JO - J Med Internet Res SP - e59069 VL - 27 KW - large language models KW - LLMs KW - digital health KW - medical diagnosis KW - treatment KW - multimodal data integration KW - technological fairness KW - artificial intelligence KW - AI KW - natural language processing KW - NLP UR - https://www.jmir.org/2025/1/e59069 UR - http://dx.doi.org/10.2196/59069 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/59069 ER - TY - JOUR AU - Bragazzi, Luigi Nicola AU - Garbarino, Sergio PY - 2024/12/27 TI - Understanding and Combating Misinformation: An Evolutionary Perspective JO - JMIR Infodemiology SP - e65521 VL - 4 KW - misinformation KW - infodemics KW - evolutionary theory KW - fake news KW - spoof news KW - fact-checking KW - digital platform KW - behavioral research KW - social cohesion KW - extrapolation KW - deformation KW - fabrication KW - disinformation KW - evolutionary paradox KW - adaptive qualities KW - strategic deception KW - intrapolation KW - health information KW - public health UR - https://infodemiology.jmir.org/2024/1/e65521 UR - http://dx.doi.org/10.2196/65521 UR - http://www.ncbi.nlm.nih.gov/pubmed/39466077 ID - info:doi/10.2196/65521 ER - TY - JOUR AU - Austin, A. Jodie AU - Lobo, H. Elton AU - Samadbeik, Mahnaz AU - Engstrom, Teyl AU - Philip, Reji AU - Pole, D. Jason AU - Sullivan, M. Clair PY - 2024/12/20 TI - Decades in the Making: The Evolution of Digital Health Research Infrastructure Through Synthetic Data, Common Data Models, and Federated Learning JO - J Med Internet Res SP - e58637 VL - 26 KW - real-world data KW - digital health research KW - synthetic data KW - common data models KW - federated learning KW - university-industry collaboration UR - https://www.jmir.org/2024/1/e58637 UR - http://dx.doi.org/10.2196/58637 UR - http://www.ncbi.nlm.nih.gov/pubmed/39705072 ID - info:doi/10.2196/58637 ER - TY - JOUR AU - Dobson, Rosie AU - Whittaker, Robyn AU - Abroms, C. Lorien AU - Bramley, Dale AU - Free, Caroline AU - McRobbie, Hayden AU - Stowell, Melanie AU - Rodgers, Anthony PY - 2024/12/17 TI - Don?t Forget the Humble Text Message: 25 Years of Text Messaging in Health JO - J Med Internet Res SP - e59888 VL - 26 KW - text messaging KW - messaging KW - SMS KW - texting KW - mHealth KW - mobile health UR - https://www.jmir.org/2024/1/e59888 UR - http://dx.doi.org/10.2196/59888 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/59888 ER - TY - JOUR AU - Hardesty, J. Jeffrey AU - Crespi, Elizabeth AU - Sinamo, K. Joshua AU - Nian, Qinghua AU - Breland, Alison AU - Eissenberg, Thomas AU - Kennedy, David Ryan AU - Cohen, E. Joanna PY - 2024/12/16 TI - From Doubt to Confidence?Overcoming Fraudulent Submissions by Bots and Other Takers of a Web-Based Survey JO - J Med Internet Res SP - e60184 VL - 26 KW - fake data KW - recruitment KW - online survey KW - internet survey KW - challenges KW - data integrity KW - data quality KW - e-cigs KW - tobacco control KW - longitudinal survey KW - web-based survey KW - e-cigarette KW - vaping KW - smoking KW - smoke KW - cessation KW - prevalence KW - data collection KW - United States KW - US KW - adult KW - VAPER KW - Vaping and Patterns of E-cigarette Use Research UR - https://www.jmir.org/2024/1/e60184 UR - http://dx.doi.org/10.2196/60184 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/60184 ER - TY - JOUR AU - Bragazzi, Luigi Nicola AU - Garbarino, Sergio PY - 2024/12/13 TI - The Complex Interaction Between Sleep-Related Information, Misinformation, and Sleep Health: Call for Comprehensive Research on Sleep Infodemiology and Infoveillance JO - JMIR Infodemiology SP - e57748 VL - 4 KW - sleep health KW - sleep-related clinical public health KW - sleep information KW - health information KW - infodemiology KW - infoveillance KW - social media KW - myth KW - misconception KW - circadian KW - chronobiology KW - insomnia KW - eHealth KW - digital health KW - public health informatics KW - sleep data KW - health data KW - well-being KW - patient information KW - lifestyle UR - https://infodemiology.jmir.org/2024/1/e57748 UR - http://dx.doi.org/10.2196/57748 UR - http://www.ncbi.nlm.nih.gov/pubmed/39475424 ID - info:doi/10.2196/57748 ER - TY - JOUR AU - Naccarella, Lucio AU - Rawstorn, Charles Jonathan AU - Kelly, Jaimon AU - Quested, Eleanor AU - Jenkinson, Stuart AU - Kwasnicka, Dominika PY - 2024/12/10 TI - Unlocking the Potential for Implementation of Equitable, Digitally Enabled Citizen Science: Multidisciplinary Digital Health Perspective JO - J Med Internet Res SP - e50491 VL - 26 KW - citizen science KW - digital health KW - equity KW - implementation science KW - community KW - research KW - health inequality KW - health equity KW - health integration KW - mental well-being KW - well-being UR - https://www.jmir.org/2024/1/e50491 UR - http://dx.doi.org/10.2196/50491 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/50491 ER - TY - JOUR AU - Spethmann, Sebastian AU - Hindricks, Gerhard AU - Koehler, Kerstin AU - Stoerk, Stefan AU - Angermann, E. Christiane AU - Böhm, Michael AU - Assmus, Birgit AU - Winkler, Sebastian AU - Möckel, Martin AU - Mittermaier, Mirja AU - Lelgemann, Monika AU - Reuter, Daniel AU - Bosch, Ralph AU - Albrecht, Alexander AU - von Haehling, Stephan AU - Helms, M. Thomas AU - Sack, Stefan AU - Bekfani, Tarek AU - Gröschel, Wolfgang Jan AU - Koehler, Magdalena AU - Melzer, Christoph AU - Wintrich, Jan AU - Zippel-Schultz, Bettina AU - Ertl, Georg AU - Vogelmeier, Claus AU - Dagres, Nikolaos AU - Zernikow, Jasmin AU - Koehler, Friedrich PY - 2024/12/4 TI - Telemonitoring for Chronic Heart Failure: Narrative Review of the 20-Year Journey From Concept to Standard Care in Germany JO - J Med Internet Res SP - e63391 VL - 26 KW - telemedicine KW - e-counseling KW - heart decompensation KW - Europe KW - patient care management N2 - 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. UR - https://www.jmir.org/2024/1/e63391 UR - http://dx.doi.org/10.2196/63391 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/63391 ER - TY - JOUR AU - Benjamin, Jennifer AU - Pillow, Tyson AU - MacNeill, Heather AU - Masters, Ken AU - Agrawal, Anoop AU - Mehta, Neil PY - 2024/12/3 TI - Reflections From the Pandemic: Is Connectivism the Panacea for Clinicians? JO - J Med Internet Res SP - e53344 VL - 26 KW - learning theory KW - learning framework KW - connectivism KW - panacea KW - COVID-19 KW - generative artificial intelligence KW - GAI KW - health care community KW - clinician KW - health care KW - airborne disease KW - learning KW - information KW - misinformation KW - autonomy KW - diversity UR - https://www.jmir.org/2024/1/e53344 UR - http://dx.doi.org/10.2196/53344 UR - http://www.ncbi.nlm.nih.gov/pubmed/39625749 ID - info:doi/10.2196/53344 ER - TY - JOUR AU - Chen, You AU - Lehmann, U. Christoph AU - Malin, Bradley PY - 2024/12/2 TI - Digital Information Ecosystems in Modern Care Coordination and Patient Care Pathways and the Challenges and Opportunities for AI Solutions JO - J Med Internet Res SP - e60258 VL - 26 KW - patient care pathway KW - care journey KW - care coordination KW - digital information ecosystem KW - digital technologies KW - artificial intelligence KW - information interoperability KW - information silos KW - workload KW - information retrieval KW - care transitions KW - patient-reported outcome measures KW - clinical workflow KW - usability KW - user experience workflow KW - health care information systems KW - networks of health care professionals KW - patient information flow UR - https://www.jmir.org/2024/1/e60258 UR - http://dx.doi.org/10.2196/60258 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/60258 ER - TY - JOUR AU - Allers, Sanne AU - Carboni, Chiara AU - Eijkenaar, Frank AU - Wehrens, Rik PY - 2024/12/2 TI - A Cross-Disciplinary Analysis of the Complexities of Scaling Up eHealth Innovation JO - J Med Internet Res SP - e58007 VL - 26 KW - innovation KW - eHealth KW - remote patient monitoring KW - scale-up KW - cross-disciplinary KW - qualitative case study KW - health care systems KW - adaptation KW - complexity KW - health care KW - framework KW - ecological perspective KW - barriers and facilitators UR - https://www.jmir.org/2024/1/e58007 UR - http://dx.doi.org/10.2196/58007 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58007 ER - TY - JOUR AU - Harrison Ginsberg, Kristin AU - Babbott, Katie AU - Serlachius, Anna PY - 2024/11/28 TI - Exploring Participants? Experiences of Digital Health Interventions With Qualitative Methods: Guidance for Researchers JO - J Med Internet Res SP - e62761 VL - 26 KW - qualitative methods KW - content analysis KW - thematic analysis KW - digital health evaluation KW - user engagement KW - user experience KW - digital health intervention KW - innovation KW - patient experience KW - health care KW - researcher KW - technology KW - mobile health KW - mHealth KW - telemedicine KW - digital health KW - behavior change KW - usability KW - tutorial KW - research methods KW - qualitative research KW - study design UR - https://www.jmir.org/2024/1/e62761 UR - http://dx.doi.org/10.2196/62761 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/62761 ER - TY - JOUR AU - Yi, Siyan AU - Yam, Yan Esabelle Lo AU - Cheruvettolil, Kochukoshy AU - Linos, Eleni AU - Gupta, Anshika AU - Palaniappan, Latha AU - Rajeshuni, Nitya AU - Vaska, Gopal Kiran AU - Schulman, Kevin AU - Eggleston, N. Karen PY - 2024/11/25 TI - Perspectives of Digital Health Innovations in Low- and Middle-Income Health Care Systems From South and Southeast Asia JO - J Med Internet Res SP - e57612 VL - 26 KW - digital health innovations KW - public health KW - South and Southeast Asia KW - health care challenges KW - low- and middle-income countries KW - LMICs KW - global health KW - health AI KW - artificial intelligence KW - public health responses KW - global health contexts KW - digital health UR - https://www.jmir.org/2024/1/e57612 UR - http://dx.doi.org/10.2196/57612 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/57612 ER - TY - JOUR AU - Jefferson, Emily AU - Milligan, Gordon AU - Johnston, Jenny AU - Mumtaz, Shahzad AU - Cole, Christian AU - Best, Joseph AU - Giles, Charles Thomas AU - Cox, Samuel AU - Masood, Erum AU - Horban, Scott AU - Urwin, Esmond AU - Beggs, Jillian AU - Chuter, Antony AU - Reilly, Gerry AU - Morris, Andrew AU - Seymour, David AU - Hopkins, Susan AU - Sheikh, Aziz AU - Quinlan, Philip PY - 2024/11/20 TI - 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 JO - J Med Internet Res SP - e50235 VL - 26 KW - COVID-19 KW - infrastructure KW - trusted research environments KW - safe havens KW - feasibility analysis KW - cohort discovery KW - federated analytics KW - federated discovery KW - lessons learned KW - population wide KW - data KW - public health KW - analysis KW - CO-CONNECT KW - challenges KW - data transformation UR - https://www.jmir.org/2024/1/e50235 UR - http://dx.doi.org/10.2196/50235 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/50235 ER - TY - JOUR AU - Piera-Jiménez, Jordi AU - Carot-Sans, Gerard AU - Ramiro-Pareta, Marina AU - Nogueras, Mercedes Maria AU - Folguera-Profitós, Júlia AU - Ródenas, Pepi AU - Jiménez-Rueda, Alba AU - de Pando Navarro, Thais AU - Mira Palacios, Antoni Josep AU - Fajardo, Carles Joan AU - Ustrell Campillo, Joan AU - Vela, Emili AU - Monterde, David AU - Valero-Bover, Damiŕ AU - Bonet, Tara AU - Tarrasó-Urios, Guillermo AU - Cantenys-Sabŕ, Roser AU - Fabregat-Fabregat, Pau AU - Gómez Oliveros, Beatriz AU - Berdún, Jesús AU - Michelena, Xabier AU - Cano, Isaac AU - González-Colom, Rubčn AU - Roca, Josep AU - Solans, Oscar AU - Pontes, Caridad AU - Pérez-Sust, Pol PY - 2024/11/18 TI - A 25-Year Retrospective of Health IT Infrastructure Building: The Example of the Catalonia Region JO - J Med Internet Res SP - e58933 VL - 26 KW - health ITs KW - eHealth KW - integrated care KW - open platforms KW - interoperability KW - Catalonia KW - digitalization KW - health care structure KW - health care delivery KW - integrated pathway KW - integrated treatment plan KW - process management UR - https://www.jmir.org/2024/1/e58933 UR - http://dx.doi.org/10.2196/58933 UR - http://www.ncbi.nlm.nih.gov/pubmed/39556831 ID - info:doi/10.2196/58933 ER - TY - JOUR AU - Stevens, R. Elizabeth AU - Elmaleh-Sachs, Arielle AU - Lofton, Holly AU - Mann, M. Devin PY - 2024/11/14 TI - Lightening the Load: Generative AI to Mitigate the Burden of the New Era of Obesity Medical Therapy JO - JMIR Diabetes SP - e58680 VL - 9 KW - obesity KW - artificial intelligence KW - AI KW - clinical management KW - GLP-1 KW - glucagon-like peptide 1 KW - medical therapy KW - antiobesity KW - diabetes KW - medication KW - agonists KW - glucose-dependent insulinotropic polypeptide KW - treatment KW - clinician KW - health care delivery system KW - incretin mimetic UR - https://diabetes.jmir.org/2024/1/e58680 UR - http://dx.doi.org/10.2196/58680 ID - info:doi/10.2196/58680 ER - TY - JOUR AU - Nagarajan, Radha AU - Kondo, Midori AU - Salas, Franz AU - Sezgin, Emre AU - Yao, Yuan AU - Klotzman, Vanessa AU - Godambe, A. Sandip AU - Khan, Naqi AU - Limon, Alfonso AU - Stephenson, Graham AU - Taraman, Sharief AU - Walton, Nephi AU - Ehwerhemuepha, Louis AU - Pandit, Jay AU - Pandita, Deepti AU - Weiss, Michael AU - Golden, Charles AU - Gold, Adam AU - Henderson, John AU - Shippy, Angela AU - Celi, Anthony Leo AU - Hogan, R. William AU - Oermann, K. Eric AU - Sanger, Terence AU - Martel, Steven PY - 2024/11/14 TI - Economics and Equity of Large Language Models: Health Care Perspective JO - J Med Internet Res SP - e64226 VL - 26 KW - large language model KW - LLM KW - health care KW - economics KW - equity KW - cloud service providers KW - cloud KW - health outcome KW - implementation KW - democratization UR - https://www.jmir.org/2024/1/e64226 UR - http://dx.doi.org/10.2196/64226 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/64226 ER - TY - JOUR AU - Subramanian, Hemang AU - Sengupta, Arijit AU - Xu, Yilin PY - 2024/11/6 TI - Patient Health Record Protection Beyond the Health Insurance Portability and Accountability Act: Mixed Methods Study JO - J Med Internet Res SP - e59674 VL - 26 KW - security KW - privacy KW - security breach KW - breach report KW - health care KW - health care infrastructure KW - regulatory KW - law enforcement KW - Omnibus Rule KW - qualitative analysis KW - AI-generated data KW - artificial intelligence KW - difference-in-differences KW - best practice KW - data privacy KW - safe practice N2 - 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. UR - https://www.jmir.org/2024/1/e59674 UR - http://dx.doi.org/10.2196/59674 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/59674 ER - TY - JOUR AU - Nachman, Sophie AU - Ortiz-Prado, Esteban AU - Tucker, D. Joseph PY - 2024/11/4 TI - Video Abstracts in Research JO - J Med Internet Res SP - e64221 VL - 26 KW - video abstract KW - abstract KW - dissemination KW - public engagement KW - online KW - videos KW - public audience KW - communication KW - infographics KW - health literacy KW - patient education KW - public health UR - https://www.jmir.org/2024/1/e64221 UR - http://dx.doi.org/10.2196/64221 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/64221 ER - TY - JOUR AU - Köhler, Charlotte AU - Bartschke, Alexander AU - Fürstenau, Daniel AU - Schaaf, Thorsten AU - Salgado-Baez, Eduardo PY - 2024/10/25 TI - The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research JO - J Med Internet Res SP - e58936 VL - 26 KW - consumer devices KW - smartwatches KW - value-based health care KW - monitoring KW - nudging KW - predicting KW - mobile phone UR - https://www.jmir.org/2024/1/e58936 UR - http://dx.doi.org/10.2196/58936 UR - http://www.ncbi.nlm.nih.gov/pubmed/39356287 ID - info:doi/10.2196/58936 ER - TY - JOUR AU - Brogden, Josephine AU - de Haan, Zsofi AU - Gorban, Carla AU - Hockey, J. Samuel AU - Hutcheon, Alexis AU - Iorfino, Frank AU - Song, C. Yun Ju AU - Scott, Elizabeth AU - Hickie, B. Ian AU - McKenna, Sarah PY - 2024/10/18 TI - Enhancing Research Involvement of Young People With Lived Expertise: Reflecting on Experiences in Digital Mental Health Research JO - J Med Internet Res SP - e55441 VL - 26 KW - youth mental health KW - digital mental health KW - lived expertise KW - young people KW - youth KW - adolescence KW - technologies KW - university KW - universities KW - Sydney KW - real-world KW - engagement KW - work environment UR - https://www.jmir.org/2024/1/e55441 UR - http://dx.doi.org/10.2196/55441 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/55441 ER - TY - JOUR AU - Miller, M. Lyndsey AU - Kaye, Jeffrey AU - Lindauer, Allison AU - Au-Yeung, M. Wan-Tai AU - Rodrigues, K. Nathaniel AU - Czaja, J. Sara PY - 2024/10/18 TI - Remote Passive Sensing of Older Adults? Activities and Function: User-Centered Design Considerations for Behavioral Interventions Conducted in the Home Setting JO - J Med Internet Res SP - e54709 VL - 26 KW - user-centered design KW - remote passive sensing KW - remote monitoring KW - behavioral interventions KW - caregiving KW - dementia KW - Alzheimer KW - monitoring KW - gerontology KW - geriatrics KW - older adult KW - aging KW - usability KW - acceptability KW - trust KW - behavioral UR - https://www.jmir.org/2024/1/e54709 UR - http://dx.doi.org/10.2196/54709 UR - http://www.ncbi.nlm.nih.gov/pubmed/39423003 ID - info:doi/10.2196/54709 ER - TY - JOUR AU - You, Guan-Ting Jacqueline AU - Leung, I. Tiffany AU - Pandita, Deepti AU - Sakumoto, Matthew PY - 2024/10/15 TI - Primary Care Informatics: Vitalizing the Bedrock of Health Care JO - J Med Internet Res SP - e60081 VL - 26 KW - health care delivery KW - primary care KW - primary health care KW - primary prevention KW - quality of health care KW - holistic care KW - holistic medicine KW - people-centric care KW - person-centric care KW - medical informatics applications KW - primary care informatics KW - medical informatics KW - health informatics KW - information science KW - data science UR - https://www.jmir.org/2024/1/e60081 UR - http://dx.doi.org/10.2196/60081 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/60081 ER - TY - JOUR AU - Wright, L. Amy AU - Willett, Jayne Ysabella AU - Ferron, Mae Era AU - Kumarasamy, Vithusa AU - Lem, M. Sarah AU - Ahmed, Ossaid PY - 2024/10/11 TI - Using Social Media to Recruit Participants in Health Care Research: Case Study JO - J Med Internet Res SP - e51751 VL - 26 KW - social media KW - qualitative methods KW - recruitment strategies KW - healthcare research KW - digital health KW - internet KW - UR - https://www.jmir.org/2024/1/e51751 UR - http://dx.doi.org/10.2196/51751 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/51751 ER - TY - JOUR AU - Wilkes, Matt AU - Kramer, Annabel AU - Pugmire, Juliana AU - Pilkington, Christopher AU - Zaniello, Benjamin AU - Zahradka, Nicole PY - 2024/10/11 TI - 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 JO - J Med Internet Res SP - e58888 VL - 26 KW - telemedicine KW - implementation science KW - hospital-to-home transition KW - remote patient monitoring KW - digital health KW - transition of care KW - accuracy KW - acceptability UR - https://www.jmir.org/2024/1/e58888 UR - http://dx.doi.org/10.2196/58888 UR - http://www.ncbi.nlm.nih.gov/pubmed/39331537 ID - info:doi/10.2196/58888 ER - TY - JOUR AU - Trinkley, E. Katy AU - Maw, M. Anna AU - Torres, Huebner Cristina AU - Huebschmann, G. Amy AU - Glasgow, E. Russell PY - 2024/10/7 TI - Applying Implementation Science to Advance Electronic Health Record?Driven Learning Health Systems: Case Studies, Challenges, and Recommendations JO - J Med Internet Res SP - e55472 VL - 26 KW - learning health systems KW - implementation science KW - chronic care KW - electronic health record KW - evidence-based medicine KW - information technology KW - research and technology UR - https://www.jmir.org/2024/1/e55472 UR - http://dx.doi.org/10.2196/55472 UR - http://www.ncbi.nlm.nih.gov/pubmed/39374069 ID - info:doi/10.2196/55472 ER - TY - JOUR AU - Li, Xingang AU - Guo, Heng AU - Li, Dandan AU - Zheng, Yingming PY - 2024/10/4 TI - Engine of Innovation in Hospital Pharmacy: Applications and Reflections of ChatGPT JO - J Med Internet Res SP - e51635 VL - 26 KW - ChatGPT KW - hospital pharmacy KW - natural language processing KW - drug information KW - drug therapy KW - drug interaction KW - scientific research KW - innovation KW - pharmacy KW - quality KW - safety KW - pharmaceutical care KW - tool KW - medical care quality UR - https://www.jmir.org/2024/1/e51635 UR - http://dx.doi.org/10.2196/51635 UR - http://www.ncbi.nlm.nih.gov/pubmed/39365643 ID - info:doi/10.2196/51635 ER - TY - JOUR AU - AlSaad, Rawan AU - Abd-alrazaq, Alaa AU - Boughorbel, Sabri AU - Ahmed, Arfan AU - Renault, Max-Antoine AU - Damseh, Rafat AU - Sheikh, Javaid PY - 2024/9/25 TI - Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook JO - J Med Internet Res SP - e59505 VL - 26 KW - artificial intelligence KW - large language models KW - multimodal large language models KW - multimodality KW - multimodal generative artificial intelligence KW - multimodal generative AI KW - generative artificial intelligence KW - generative AI KW - health care UR - https://www.jmir.org/2024/1/e59505 UR - http://dx.doi.org/10.2196/59505 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/59505 ER - TY - JOUR AU - Robinson, Athena AU - Flom, Megan AU - Forman-Hoffman, L. Valerie AU - Histon, Trina AU - Levy, Monique AU - Darcy, Alison AU - Ajayi, Toluwalase AU - Mohr, C. David AU - Wicks, Paul AU - Greene, Carolyn AU - Montgomery, M. Robert PY - 2024/9/24 TI - Equity in Digital Mental Health Interventions in the United States: Where to Next? JO - J Med Internet Res SP - e59939 VL - 26 KW - Digital Mental Health Interventions KW - mental health KW - health equity KW - access to health care KW - health plan implementations UR - https://www.jmir.org/2024/1/e59939 UR - http://dx.doi.org/10.2196/59939 UR - http://www.ncbi.nlm.nih.gov/pubmed/39316436 ID - info:doi/10.2196/59939 ER - TY - JOUR AU - Fitzpatrick, Skye AU - Crenshaw, O. Alexander AU - Donkin, Victoria AU - Collins, Alexis AU - Xiang, Angela AU - Earle, A. Elizabeth AU - Goenka, Kamya AU - Varma, Sonya AU - Bushe, Julianne AU - McFadden, Tara AU - Librado, Andrea AU - Monson, Candice PY - 2024/9/19 TI - We Have Spent Time, Money, and Effort Making Self-Help Digital Mental Health Interventions: Is Anyone Going to Come to the Party? JO - J Med Internet Res SP - e58198 VL - 26 KW - online interventions KW - self-help KW - digital interventions KW - mental health KW - psychotherapy KW - intervention desirability UR - https://www.jmir.org/2024/1/e58198 UR - http://dx.doi.org/10.2196/58198 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58198 ER - TY - JOUR AU - Elliot, J. Alex AU - Hughes, E. Helen AU - Harcourt, E. Sally AU - Smith, Sue AU - Loveridge, Paul AU - Morbey, A. Roger AU - Bains, Amardeep AU - Edeghere, Obaghe AU - Jones, R. Natalia AU - Todkill, Daniel AU - Smith, E. Gillian PY - 2024/9/17 TI - From Fax to Secure File Transfer Protocol: The 25-Year Evolution of Real-Time Syndromic Surveillance in England JO - J Med Internet Res SP - e58704 VL - 26 KW - epidemiology KW - population surveillance KW - sentinel surveillance KW - public health surveillance KW - bioterrorism KW - mass gathering KW - pandemics UR - https://www.jmir.org/2024/1/e58704 UR - http://dx.doi.org/10.2196/58704 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58704 ER - TY - JOUR AU - Hall, L. Charlotte AU - Gómez Bergin, D. Aislinn AU - Rennick-Egglestone, Stefan PY - 2024/9/9 TI - Research Into Digital Health Intervention for Mental Health: 25-Year Retrospective on the Ethical and Legal Challenges JO - J Med Internet Res SP - e58939 VL - 26 KW - digital mental health intervention KW - research ethics KW - compliance KW - regulation KW - digital health KW - mobile health KW - mhealth KW - intervention KW - interventions KW - mental health KW - retrospective KW - ethical KW - legal KW - challenge KW - challenges UR - https://www.jmir.org/2024/1/e58939 UR - http://dx.doi.org/10.2196/58939 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58939 ER - TY - JOUR AU - Copland, R. Rachel AU - Hanke, Sten AU - Rogers, Amy AU - Mpaltadoros, Lampros AU - Lazarou, Ioulietta AU - Zeltsi, Alexandra AU - Nikolopoulos, Spiros AU - MacDonald, M. Thomas AU - Mackenzie, S. Isla PY - 2024/9/3 TI - The Digital Platform and Its Emerging Role in Decentralized Clinical Trials JO - J Med Internet Res SP - e47882 VL - 26 KW - decentralized clinical trials KW - digital platform KW - digitalization KW - clinical trials KW - mobile phone UR - https://www.jmir.org/2024/1/e47882 UR - http://dx.doi.org/10.2196/47882 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/47882 ER - TY - JOUR AU - Xu, Tianhui AU - Weng, Huiting AU - Liu, Fang AU - Yang, Li AU - Luo, Yuanyuan AU - Ding, Ziwei AU - Wang, Qin PY - 2024/8/28 TI - Current Status of ChatGPT Use in Medical Education: Potentials, Challenges, and Strategies JO - J Med Internet Res SP - e57896 VL - 26 KW - chat generative pretrained transformer KW - ChatGPT KW - artificial intelligence KW - medical education KW - natural language processing KW - clinical practice UR - https://www.jmir.org/2024/1/e57896 UR - http://dx.doi.org/10.2196/57896 UR - http://www.ncbi.nlm.nih.gov/pubmed/39196640 ID - info:doi/10.2196/57896 ER - TY - JOUR AU - Suffoletto, Brian PY - 2024/8/27 TI - Deceptively Simple yet Profoundly Impactful: Text Messaging Interventions to Support Health JO - J Med Internet Res SP - e58726 VL - 26 KW - SMS intervention KW - behavior KW - intervention KW - review KW - text messaging KW - SMS KW - interventions KW - behaviors KW - behaviour KW - behaviours KW - effectiveness KW - development KW - impact KW - narrative review KW - physical activity KW - diet KW - weight loss KW - mental health KW - substance use KW - meta-analysis KW - chatbot KW - chatbots KW - large language model KW - LLM KW - large language models KW - mobile phone UR - https://www.jmir.org/2024/1/e58726 UR - http://dx.doi.org/10.2196/58726 UR - http://www.ncbi.nlm.nih.gov/pubmed/39190427 ID - info:doi/10.2196/58726 ER - TY - JOUR AU - Cresswell, Kathrin AU - de Keizer, Nicolette AU - Magrabi, Farah AU - Williams, Robin AU - Rigby, Michael AU - Prgomet, Mirela AU - Kukhareva, Polina AU - Wong, Shui-Yee Zoie AU - Scott, Philip AU - Craven, K. Catherine AU - Georgiou, Andrew AU - Medlock, Stephanie AU - Brender McNair, Jytte AU - Ammenwerth, Elske PY - 2024/8/7 TI - Evaluating Artificial Intelligence in Clinical Settings?Let Us Not Reinvent the Wheel JO - J Med Internet Res SP - e46407 VL - 26 KW - artificial intelligence KW - evaluation KW - theory KW - patient safety KW - optimisation KW - health care KW - optimization UR - https://www.jmir.org/2024/1/e46407 UR - http://dx.doi.org/10.2196/46407 UR - http://www.ncbi.nlm.nih.gov/pubmed/39110494 ID - info:doi/10.2196/46407 ER - TY - JOUR AU - Ortiz, Abigail AU - Mulsant, H. Benoit PY - 2024/8/5 TI - Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry? JO - J Med Internet Res SP - e59826 VL - 26 KW - digital phenotype KW - digital phenotyping KW - prediction KW - predictions KW - mental health KW - mental illness KW - mental illnesses KW - mental disorder KW - mental disorders KW - US National Institute of Mental Health KW - NIMH KW - psychiatry KW - psychiatrist KW - psychiatrists UR - https://www.jmir.org/2024/1/e59826 UR - http://dx.doi.org/10.2196/59826 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/59826 ER - TY - JOUR AU - Zhui, Li AU - Fenghe, Li AU - Xuehu, Wang AU - Qining, Fu AU - Wei, Ren PY - 2024/8/1 TI - Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint JO - J Med Internet Res SP - e60083 VL - 26 KW - medical education KW - artificial intelligence KW - large language models KW - medical ethics KW - AI KW - LLMs KW - ethics KW - academic integrity KW - privacy and data risks KW - data security KW - data protection KW - intellectual property rights KW - educational research UR - https://www.jmir.org/2024/1/e60083 UR - http://dx.doi.org/10.2196/60083 UR - http://www.ncbi.nlm.nih.gov/pubmed/38971715 ID - info:doi/10.2196/60083 ER - TY - JOUR AU - Han Sr, Wei AU - Li 2nd, Yuanting AU - Chen 3rd, Changgen AU - Huang, Danni AU - Wang, Junchao AU - Li, Xiang AU - Ji, Zhongliang AU - Li, Qin AU - Li, Zhuang PY - 2024/8/1 TI - 5G Key Technologies for Helicopter Aviation Medical Rescue JO - J Med Internet Res SP - e50355 VL - 26 KW - low airspace KW - helicopters KW - medical aid KW - 5G technology KW - aeronautical engineering UR - https://www.jmir.org/2024/1/e50355 UR - http://dx.doi.org/10.2196/50355 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/50355 ER - TY - JOUR AU - Kepper, M. Maura AU - Fowler, A. Lauren AU - Kusters, S. Isabelle AU - Davis, W. Jean AU - Baqer, Manal AU - Sagui-Henson, Sara AU - Xiao, Yunyu AU - Tarfa, Adati AU - Yi, C. Jean AU - Gibson, Bryan AU - Heron, E. Kristin AU - Alberts, M. Nicole AU - Burgermaster, Marissa AU - Njie-Carr, PS Veronica AU - Klesges, M. Lisa PY - 2024/8/1 TI - Expanding a Behavioral View on Digital Health Access: Drivers and Strategies to Promote Equity JO - J Med Internet Res SP - e51355 VL - 26 KW - digital health KW - health equity KW - mobile health KW - mHealth KW - health care access KW - digital divide KW - behavioral medicine KW - implementation KW - mobile phone UR - https://www.jmir.org/2024/1/e51355 UR - http://dx.doi.org/10.2196/51355 UR - http://www.ncbi.nlm.nih.gov/pubmed/39088246 ID - info:doi/10.2196/51355 ER - TY - JOUR AU - Lokker, Cynthia AU - McKibbon, Ann K. AU - Afzal, Muhammad AU - Navarro, Tamara AU - Linkins, Lori-Ann AU - Haynes, Brian R. AU - Iorio, Alfonso PY - 2024/7/31 TI - The McMaster Health Information Research Unit: Over a Quarter-Century of Health Informatics Supporting Evidence-Based Medicine JO - J Med Internet Res SP - e58764 VL - 26 KW - health informatics KW - evidence-based medicine KW - information retrieval KW - evidence-based KW - health information KW - Boolean KW - natural language processing KW - NLP KW - journal KW - article KW - Health Information Research Unit KW - HiRU UR - https://www.jmir.org/2024/1/e58764 UR - http://dx.doi.org/10.2196/58764 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58764 ER - TY - JOUR AU - Herold, Fabian AU - Theobald, Paula AU - Gronwald, Thomas AU - Kaushal, Navin AU - Zou, Liye AU - de Bruin, D. Eling AU - Bherer, Louis AU - Müller, G. Notger PY - 2024/7/31 TI - The Best of Two Worlds to Promote Healthy Cognitive Aging: Definition and Classification Approach of Hybrid Physical Training Interventions JO - JMIR Aging SP - e56433 VL - 7 KW - physical activity KW - dementia prevention KW - cognitive health KW - hybrid: aging in place KW - active KW - exercises KW - exercising KW - healthy lifestyle KW - dementia KW - dementia onset KW - dementia care KW - preventive KW - prevention KW - cognition KW - cognitive KW - hybrid KW - hybrid model UR - https://aging.jmir.org/2024/1/e56433 UR - http://dx.doi.org/10.2196/56433 UR - http://www.ncbi.nlm.nih.gov/pubmed/39083334 ID - info:doi/10.2196/56433 ER - TY - JOUR AU - Sweeting, Anna AU - Warncken, A. Katie AU - Patel, Martyn PY - 2024/7/30 TI - The Role of Assistive Technology in Enabling Older Adults to Achieve Independent Living: Past and Future JO - J Med Internet Res SP - e58846 VL - 26 KW - assistive technology KW - older adults KW - users KW - aging KW - aging in place KW - UK KW - cocreation KW - research trial KW - independent living KW - North Norfolk KW - disability KW - injury KW - tool KW - use KW - design KW - barrier UR - https://www.jmir.org/2024/1/e58846 UR - http://dx.doi.org/10.2196/58846 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58846 ER - TY - JOUR AU - Cai, Yu-Qing AU - Gong, Da-Xin AU - Tang, Li-Ying AU - Cai, Yue AU - Li, Hui-Jun AU - Jing, Tian-Ci AU - Gong, Mengchun AU - Hu, Wei AU - Zhang, Zhen-Wei AU - Zhang, Xingang AU - Zhang, Guang-Wei PY - 2024/7/26 TI - Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions JO - J Med Internet Res SP - e47645 VL - 26 KW - cardiovascular diseases KW - risk prediction models KW - machine learning KW - problem KW - solution UR - https://www.jmir.org/2024/1/e47645 UR - http://dx.doi.org/10.2196/47645 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/47645 ER - TY - JOUR AU - Adrien, Vladimir AU - Bosc, Nicolas AU - Peccia Galletto, Claire AU - Diot, Thomas AU - Claverie, Damien AU - Reggente, Nicco AU - Trousselard, Marion AU - Bui, Eric AU - Baubet, Thierry AU - Schoeller, Félix PY - 2024/7/1 TI - Enhancing Agency in Posttraumatic Stress Disorder Therapies Through Sensorimotor Technologies JO - J Med Internet Res SP - e58390 VL - 26 KW - posttraumatic stress disorder KW - PTSD KW - agency KW - proprioception KW - trauma KW - self-control KW - sensorimotor technology KW - enactive perspective KW - peritraumatic dissociation KW - proprioceptive reafferent fibers KW - gesture sonification devices UR - https://www.jmir.org/2024/1/e58390 UR - http://dx.doi.org/10.2196/58390 UR - http://www.ncbi.nlm.nih.gov/pubmed/38742989 ID - info:doi/10.2196/58390 ER - TY - JOUR AU - Sáez, Carlos AU - Ferri, Pablo AU - García-Gómez, M. Juan PY - 2024/6/28 TI - Resilient Artificial Intelligence in Health: Synthesis and Research Agenda Toward Next-Generation Trustworthy Clinical Decision Support JO - J Med Internet Res SP - e50295 VL - 26 KW - artificial intelligence KW - clinical decision support KW - resilience KW - clinical medicine KW - machine learning KW - data quality KW - fairness KW - trustworthy AI KW - regulation KW - AI regulation KW - AI Act KW - EHDS KW - European Health Data Space KW - emergency medical dispatch KW - clinical decision support systems UR - https://www.jmir.org/2024/1/e50295 UR - http://dx.doi.org/10.2196/50295 UR - http://www.ncbi.nlm.nih.gov/pubmed/38941134 ID - info:doi/10.2196/50295 ER - TY - JOUR AU - Salmi, Liz AU - Peereboom, Danielle AU - Dorr, A. David AU - Graham, R. Leilani AU - Wolff, L. Jennifer AU - DesRoches, M. Catherine PY - 2024/6/27 TI - Patient Portals Fail to Collect Structured Information About Who Else is Involved in a Person?s Care JO - J Med Internet Res SP - e49394 VL - 26 KW - patient portals KW - shared access KW - proxy access KW - portal delegates KW - caregivers KW - care partners KW - health IT KW - electronic health records UR - https://www.jmir.org/2024/1/e49394 UR - http://dx.doi.org/10.2196/49394 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/49394 ER - TY - JOUR AU - Hägglund, Maria AU - Kharko, Anna AU - Bärkĺs, Annika AU - Blease, Charlotte AU - Cajander, Ĺsa AU - DesRoches, Catherine AU - Fagerlund, Johansen Asbjřrn AU - Hagström, Josefin AU - Huvila, Isto AU - Hörhammer, Iiris AU - Kane, Bridget AU - Klein, O. Gunnar AU - Kristiansen, Eli AU - Moll, Jonas AU - Muli, Irene AU - Rexhepi, Hanife AU - Riggare, Sara AU - Ross, Peeter AU - Scandurra, Isabella AU - Simola, Saija AU - Soone, Hedvig AU - Wang, Bo AU - Ghorbanian Zolbin, Maedeh AU - Ĺhlfeldt, Rose-Mharie AU - Kujala, Sari AU - Johansen, Alise Monika PY - 2024/6/27 TI - A Nordic Perspective on Patient Online Record Access and the European Health Data Space JO - J Med Internet Res SP - e49084 VL - 26 KW - patients? online record access KW - open notes KW - electronic health records KW - EHR KW - patient portals KW - European Health Data Space KW - digital health KW - health care KW - patient access UR - https://www.jmir.org/2024/1/e49084 UR - http://dx.doi.org/10.2196/49084 UR - http://www.ncbi.nlm.nih.gov/pubmed/38935430 ID - info:doi/10.2196/49084 ER - TY - JOUR AU - Luo, Xufei AU - Chen, Fengxian AU - Zhu, Di AU - Wang, Ling AU - Wang, Zijun AU - Liu, Hui AU - Lyu, Meng AU - Wang, Ye AU - Wang, Qi AU - Chen, Yaolong PY - 2024/6/25 TI - Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses JO - J Med Internet Res SP - e56780 VL - 26 KW - large language model KW - ChatGPT KW - systematic review KW - chatbot KW - meta-analysis UR - https://www.jmir.org/2024/1/e56780 UR - http://dx.doi.org/10.2196/56780 UR - http://www.ncbi.nlm.nih.gov/pubmed/38819655 ID - info:doi/10.2196/56780 ER - TY - JOUR AU - Bolinger, Elaina AU - Tyl, Benoit PY - 2024/6/17 TI - Key Considerations for Designing Clinical Studies to Evaluate Digital Health Solutions JO - J Med Internet Res SP - e54518 VL - 26 KW - evidence generation KW - clinical robustness KW - clinical trials KW - digital health KW - solutions KW - digital health solutions KW - DHS KW - health care system KW - patients KW - patient KW - individuals KW - individual KW - healthcare system KW - control arm adaptations KW - randomization methods KW - real-world data KW - platform research UR - https://www.jmir.org/2024/1/e54518 UR - http://dx.doi.org/10.2196/54518 UR - http://www.ncbi.nlm.nih.gov/pubmed/38885020 ID - info:doi/10.2196/54518 ER - TY - JOUR AU - Collins, Luke AU - Nicholson, Niamh AU - Lidbetter, Nicky AU - Smithson, Dave AU - Baker, Paul PY - 2024/6/17 TI - Implementation of Anxiety UK?s Ask Anxia Chatbot Service: Lessons Learned JO - JMIR Hum Factors SP - e53897 VL - 11 KW - chatbots KW - anxiety disorders KW - corpus linguistics KW - conversational agents KW - web-based care UR - https://humanfactors.jmir.org/2024/1/e53897 UR - http://dx.doi.org/10.2196/53897 UR - http://www.ncbi.nlm.nih.gov/pubmed/38885016 ID - info:doi/10.2196/53897 ER - TY - JOUR AU - Ball, Robert AU - Talal, H. Andrew AU - Dang, Oanh AU - Muńoz, Monica AU - Markatou, Marianthi PY - 2024/6/6 TI - 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 JO - J Med Internet Res SP - e50274 VL - 26 KW - drug safety KW - artificial intelligence KW - machine learning KW - natural language processing KW - causal inference KW - case-based reasoning KW - clinical decision support UR - https://www.jmir.org/2024/1/e50274 UR - http://dx.doi.org/10.2196/50274 UR - http://www.ncbi.nlm.nih.gov/pubmed/38842929 ID - info:doi/10.2196/50274 ER - TY - JOUR AU - Zawati, H. Ma'n AU - Lang, Michael PY - 2024/6/5 TI - Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility JO - J Med Internet Res SP - e50344 VL - 26 KW - artificial intelligence KW - applications KW - mobile health KW - mHealth KW - bias KW - biases KW - professional obligations KW - professional obligation KW - app KW - apps KW - application KW - symptom checker KW - symptom checkers KW - diagnose KW - diagnosis KW - self-diagnose KW - self-diagnosis KW - ethic KW - ethics KW - ethical KW - regulation KW - regulations KW - legal KW - law KW - laws KW - safety KW - mobile phone UR - https://www.jmir.org/2024/1/e50344 UR - http://dx.doi.org/10.2196/50344 UR - http://www.ncbi.nlm.nih.gov/pubmed/38838309 ID - info:doi/10.2196/50344 ER - TY - JOUR AU - Janssen, Anna AU - Donnelly, Candice AU - Shaw, Tim PY - 2024/5/31 TI - A Taxonomy for Health Information Systems JO - J Med Internet Res SP - e47682 VL - 26 KW - eHealth KW - digital health KW - electronic health data KW - data revolution KW - actionable data KW - mobile phone UR - https://www.jmir.org/2024/1/e47682 UR - http://dx.doi.org/10.2196/47682 UR - http://www.ncbi.nlm.nih.gov/pubmed/38820575 ID - info:doi/10.2196/47682 ER - TY - JOUR AU - Lee, Vien V. AU - van der Lubbe, C. Stephanie C. AU - Goh, Hoon Lay AU - Valderas, Maria Jose PY - 2024/5/31 TI - Harnessing ChatGPT for Thematic Analysis: Are We Ready? JO - J Med Internet Res SP - e54974 VL - 26 KW - ChatGPT KW - thematic analysis KW - natural language processing KW - NLP KW - medical research KW - qualitative research KW - qualitative data KW - technology KW - viewpoint KW - efficiency UR - https://www.jmir.org/2024/1/e54974 UR - http://dx.doi.org/10.2196/54974 UR - http://www.ncbi.nlm.nih.gov/pubmed/38819896 ID - info:doi/10.2196/54974 ER - TY - JOUR AU - Claggett, Jennifer AU - Petter, Stacie AU - Joshi, Amol AU - Ponzio, Todd AU - Kirkendall, Eric PY - 2024/5/30 TI - An Infrastructure Framework for Remote Patient Monitoring Interventions and Research JO - J Med Internet Res SP - e51234 VL - 26 KW - remote patient monitoring KW - eHealth KW - telehealth KW - telemonitoring KW - telemedicine KW - digital infrastructure KW - clinical decision-making UR - https://www.jmir.org/2024/1/e51234 UR - http://dx.doi.org/10.2196/51234 UR - http://www.ncbi.nlm.nih.gov/pubmed/38815263 ID - info:doi/10.2196/51234 ER - TY - JOUR AU - Wang, Guanyi AU - Chen, Chen AU - Jiang, Ziyu AU - Li, Gang AU - Wu, Can AU - Li, Sheng PY - 2024/5/28 TI - Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology JO - J Med Internet Res SP - e46160 VL - 26 KW - NFTs KW - biobanks KW - blockchains KW - health care KW - medical big data KW - sustainability KW - blockchain platform KW - platform KW - tracing KW - virtual KW - biomedical data KW - transformation KW - development KW - promoted UR - https://www.jmir.org/2024/1/e46160 UR - http://dx.doi.org/10.2196/46160 UR - http://www.ncbi.nlm.nih.gov/pubmed/38805706 ID - info:doi/10.2196/46160 ER - TY - JOUR AU - MacPherson, Megan AU - Rourke, Sarah PY - 2024/5/22 TI - The Power of Rapid Reviews for Bridging the Knowledge-to-Action Gap in Evidence-Based Virtual Health Care JO - J Med Internet Res SP - e54821 VL - 26 KW - virtual health care KW - rapid reviews KW - evidence synthesis KW - evidence-informed decision-making KW - knowledge translation UR - https://www.jmir.org/2024/1/e54821 UR - http://dx.doi.org/10.2196/54821 UR - http://www.ncbi.nlm.nih.gov/pubmed/38776542 ID - info:doi/10.2196/54821 ER - TY - JOUR AU - Vallée, Alexandre PY - 2024/5/13 TI - Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins JO - J Med Internet Res SP - e50204 VL - 26 KW - digital health KW - digital twin KW - personalized medicine KW - prevention KW - prediction KW - health care system UR - https://www.jmir.org/2024/1/e50204 UR - http://dx.doi.org/10.2196/50204 UR - http://www.ncbi.nlm.nih.gov/pubmed/38739913 ID - info:doi/10.2196/50204 ER - TY - JOUR AU - Weiß, Martin AU - Gründahl, Marthe AU - Jachnik, Annalena AU - Lampe, Caya Emilia AU - Malik, Ishitaa AU - Rittner, Lydia Heike AU - Sommer, Claudia AU - Hein, Grit PY - 2024/4/30 TI - The Effect of Everyday-Life Social Contact on Pain JO - J Med Internet Res SP - e53830 VL - 26 KW - social contact KW - pain KW - ecological momentary assessment UR - https://www.jmir.org/2024/1/e53830 UR - http://dx.doi.org/10.2196/53830 UR - http://www.ncbi.nlm.nih.gov/pubmed/38687594 ID - info:doi/10.2196/53830 ER - TY - JOUR AU - Choudhury, Avishek AU - Chaudhry, Zaira PY - 2024/4/25 TI - Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals JO - J Med Internet Res SP - e56764 VL - 26 KW - trust KW - ChatGPT KW - human factors KW - healthcare KW - LLMs KW - large language models KW - LLM user trust KW - AI accountability KW - artificial intelligence KW - AI technology KW - technologies KW - effectiveness KW - policy KW - medical student KW - medical students KW - risk factor KW - quality of care KW - healthcare professional KW - healthcare professionals KW - human element UR - https://www.jmir.org/2024/1/e56764 UR - http://dx.doi.org/10.2196/56764 UR - http://www.ncbi.nlm.nih.gov/pubmed/38662419 ID - info:doi/10.2196/56764 ER - TY - JOUR AU - Huguet, Nathalie AU - Chen, Jinying AU - Parikh, B. Ravi AU - Marino, Miguel AU - Flocke, A. Susan AU - Likumahuwa-Ackman, Sonja AU - Bekelman, Justin AU - DeVoe, E. Jennifer PY - 2024/4/22 TI - Applying Machine Learning Techniques to Implementation Science JO - Online J Public Health Inform SP - e50201 VL - 16 KW - implementation science KW - machine learning KW - implementation strategies KW - techniques KW - implementation KW - prediction KW - adaptation KW - acceptance KW - challenges KW - scientist UR - https://ojphi.jmir.org/2024/1/e50201 UR - http://dx.doi.org/10.2196/50201 UR - http://www.ncbi.nlm.nih.gov/pubmed/38648094 ID - info:doi/10.2196/50201 ER - TY - JOUR AU - Washington, Peter PY - 2024/4/11 TI - A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health JO - J Med Internet Res SP - e51138 VL - 26 KW - crowdsourcing KW - digital medicine KW - human-in-the-loop KW - human in the loop KW - human-AI collaboration KW - machine learning KW - precision health KW - artificial intelligence KW - AI UR - https://www.jmir.org/2024/1/e51138 UR - http://dx.doi.org/10.2196/51138 UR - http://www.ncbi.nlm.nih.gov/pubmed/38602750 ID - info:doi/10.2196/51138 ER - TY - JOUR AU - Sun, Wan-Na AU - Kao, Chi-Yin PY - 2024/4/1 TI - The Challenges in Using eHealth Decision Resources for Surrogate Decision-Making in the Intensive Care Unit JO - J Med Internet Res SP - e47017 VL - 26 KW - decision-making KW - eHealth KW - intensive care unit KW - literacy KW - surrogate KW - mobile phone UR - https://www.jmir.org/2024/1/e47017 UR - http://dx.doi.org/10.2196/47017 UR - http://www.ncbi.nlm.nih.gov/pubmed/38557504 ID - info:doi/10.2196/47017 ER - TY - JOUR AU - Ulfsdotter Gunnarsson, Katarina AU - Henriksson, Martin AU - Bendtsen, Marcus PY - 2024/3/27 TI - 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 JO - J Med Internet Res SP - e44574 VL - 26 KW - alcohol KW - health economics KW - telemedicine KW - psychological harm KW - eHealth KW - digital intervention KW - decision-making UR - https://www.jmir.org/2024/1/e44574 UR - http://dx.doi.org/10.2196/44574 UR - http://www.ncbi.nlm.nih.gov/pubmed/38536228 ID - info:doi/10.2196/44574 ER - TY - JOUR AU - Shaw, James AU - Glover, Wiljeana PY - 2024/3/26 TI - The Political Economy of Digital Health Equity: Structural Analysis JO - J Med Internet Res SP - e46971 VL - 26 KW - digital health equity KW - health equity KW - health policy KW - telemedicine KW - digital care KW - political economy KW - race KW - ethnicity KW - socioeconomic KW - policy UR - https://www.jmir.org/2024/1/e46971 UR - http://dx.doi.org/10.2196/46971 UR - http://www.ncbi.nlm.nih.gov/pubmed/38530341 ID - info:doi/10.2196/46971 ER - TY - JOUR AU - Tretter, Max PY - 2024/3/25 TI - Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies JO - J Med Internet Res SP - e48493 VL - 26 KW - stress KW - anxiety KW - reproductive technologies KW - fetal health KW - epistemology KW - ethics UR - https://www.jmir.org/2024/1/e48493 UR - http://dx.doi.org/10.2196/48493 UR - http://www.ncbi.nlm.nih.gov/pubmed/38526554 ID - info:doi/10.2196/48493 ER - TY - JOUR AU - Chen, Yan AU - Esmaeilzadeh, Pouyan PY - 2024/3/8 TI - Generative AI in Medical Practice: In-Depth Exploration of Privacy and Security Challenges JO - J Med Internet Res SP - e53008 VL - 26 KW - artificial intelligence KW - AI KW - generative artificial intelligence KW - generative AI KW - medical practices KW - potential benefits KW - security and privacy threats UR - https://www.jmir.org/2024/1/e53008 UR - http://dx.doi.org/10.2196/53008 UR - http://www.ncbi.nlm.nih.gov/pubmed/38457208 ID - info:doi/10.2196/53008 ER - TY - JOUR AU - Reynolds, Kelly AU - Tejasvi, Trilokraj PY - 2024/3/6 TI - Potential Use of ChatGPT in Responding to Patient Questions and Creating Patient Resources JO - JMIR Dermatol SP - e48451 VL - 7 KW - artificial intelligence KW - AI KW - ChatGPT KW - patient resources KW - patient handouts KW - natural language processing software KW - language model KW - language models KW - natural language processing KW - chatbot KW - chatbots KW - conversational agent KW - conversational agents KW - patient education KW - educational resource KW - educational UR - https://derma.jmir.org/2024/1/e48451 UR - http://dx.doi.org/10.2196/48451 UR - http://www.ncbi.nlm.nih.gov/pubmed/38446541 ID - info:doi/10.2196/48451 ER - TY - JOUR AU - Kim, Meelim AU - Patrick, Kevin AU - Nebeker, Camille AU - Godino, Job AU - Stein, Spencer AU - Klasnja, Predrag AU - Perski, Olga AU - Viglione, Clare AU - Coleman, Aaron AU - Hekler, Eric PY - 2024/3/5 TI - The Digital Therapeutics Real-World Evidence Framework: An Approach for Guiding Evidence-Based Digital Therapeutics Design, Development, Testing, and Monitoring JO - J Med Internet Res SP - e49208 VL - 26 KW - accessible KW - decision making KW - decision KW - decision-based evidence-making KW - development KW - digital therapeutics KW - medication adherence KW - monitoring KW - pharmaceuticals KW - public health KW - real-world data KW - real-world evidence KW - safe KW - testing KW - therapeutics UR - https://www.jmir.org/2024/1/e49208 UR - http://dx.doi.org/10.2196/49208 UR - http://www.ncbi.nlm.nih.gov/pubmed/38441954 ID - info:doi/10.2196/49208 ER - TY - JOUR AU - Bhargava, Hansa AU - Salomon, Carmela AU - Suresh, Srinivasan AU - Chang, Anthony AU - Kilian, Rachel AU - Stijn, van Diana AU - Oriol, Albert AU - Low, Daniel AU - Knebel, Ashley AU - Taraman, Sharief PY - 2024/2/29 TI - Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics JO - J Med Internet Res SP - e49022 VL - 26 KW - artificial intelligence KW - pediatrics KW - autism spectrum disorder KW - ASD KW - disparities KW - pediatric KW - youth KW - child KW - children KW - autism KW - autistic KW - barrier KW - barriers KW - clinical application KW - clinical applications KW - professional development KW - continuing education KW - continuing medical education KW - CME KW - implementation UR - https://www.jmir.org/2024/1/e49022 UR - http://dx.doi.org/10.2196/49022 UR - http://www.ncbi.nlm.nih.gov/pubmed/38421690 ID - info:doi/10.2196/49022 ER - TY - JOUR AU - Dong, Pei AU - Mao, Ayan AU - Qiu, Wuqi AU - Li, Guanglin PY - 2024/2/27 TI - Improvement of Cancer Prevention and Control: Reflection on the Role of Emerging Information Technologies JO - J Med Internet Res SP - e50000 VL - 26 KW - emerging information technologies KW - cancer KW - prevention and control UR - https://www.jmir.org/2024/1/e50000 UR - http://dx.doi.org/10.2196/50000 UR - http://www.ncbi.nlm.nih.gov/pubmed/38412009 ID - info:doi/10.2196/50000 ER - TY - JOUR AU - Chen, Chih-Wei AU - Walter, Paul AU - Wei, Cheng-Chung James PY - 2024/2/27 TI - Using ChatGPT-Like Solutions to Bridge the Communication Gap Between Patients With Rheumatoid Arthritis and Health Care Professionals JO - JMIR Med Educ SP - e48989 VL - 10 KW - rheumatoid arthritis KW - ChatGPT KW - artificial intelligence KW - communication gap KW - privacy KW - data management UR - https://mededu.jmir.org/2024/1/e48989 UR - http://dx.doi.org/10.2196/48989 UR - http://www.ncbi.nlm.nih.gov/pubmed/38412022 ID - info:doi/10.2196/48989 ER - TY - JOUR AU - Jeong, Yejin AU - Crowell, Trevor AU - Devon-Sand, Anna AU - Sakata, Theadora AU - Sattler, Amelia AU - Shah, Shreya AU - Tsai, Timothy AU - Lin, Steven PY - 2024/2/23 TI - Building Pandemic-Resilient Primary Care Systems: Lessons Learned From COVID-19 JO - J Med Internet Res SP - e47667 VL - 26 KW - barrier KW - COVID-19 KW - digital health KW - implementation KW - internet-based care KW - pandemic KW - primary care KW - resilience KW - resilient system KW - telehealth KW - telemedicine UR - https://www.jmir.org/2024/1/e47667 UR - http://dx.doi.org/10.2196/47667 UR - http://www.ncbi.nlm.nih.gov/pubmed/38393776 ID - info:doi/10.2196/47667 ER - TY - JOUR AU - Benton, S. Jack AU - French, P. David PY - 2024/2/21 TI - Untapped Potential of Unobtrusive Observation for Studying Health Behaviors JO - JMIR Public Health Surveill SP - e46638 VL - 10 KW - health behavior KW - environments KW - context KW - unobtrusive observation KW - video technology KW - computer vision UR - https://publichealth.jmir.org/2024/1/e46638 UR - http://dx.doi.org/10.2196/46638 UR - http://www.ncbi.nlm.nih.gov/pubmed/38381483 ID - info:doi/10.2196/46638 ER - TY - JOUR AU - Stendal, Karen AU - Bernabe, C. Rosemarie D. L. PY - 2024/2/13 TI - Extended Reality?New Opportunity for People With Disability? Practical and Ethical Considerations JO - J Med Internet Res SP - e41670 VL - 26 KW - extended reality KW - virtual worlds KW - virtual reality KW - disability KW - practical KW - ethical KW - technology KW - virtual KW - reality KW - development KW - research KW - challenges UR - https://www.jmir.org/2024/1/e41670 UR - http://dx.doi.org/10.2196/41670 UR - http://www.ncbi.nlm.nih.gov/pubmed/38349731 ID - info:doi/10.2196/41670 ER - TY - JOUR AU - Yedinak, Jesse AU - Krieger, S. Maxwell AU - Joseph, Raynald AU - Levin, Stacey AU - Edwards, Sarah AU - Bailer, A. Dennis AU - Goyer, Jonathan AU - Daley Ndoye, Colleen AU - Schultz, Cathy AU - Koziol, Jennifer AU - Elmaleh, Rachael AU - Hallowell, D. Benjamin AU - Hampson, Todd AU - Duong, Ellen AU - Shihipar, Abdullah AU - Goedel, C. William AU - Marshall, DL Brandon PY - 2024/2/12 TI - Public Health Dashboards in Overdose Prevention: The Rhode Island Approach to Public Health Data Literacy, Partnerships, and Action JO - J Med Internet Res SP - e51671 VL - 26 KW - community engagement KW - data dashboards KW - data literacy KW - health literacy KW - overdose KW - public health communication KW - public health surveillance UR - https://www.jmir.org/2024/1/e51671 UR - http://dx.doi.org/10.2196/51671 UR - http://www.ncbi.nlm.nih.gov/pubmed/38345849 ID - info:doi/10.2196/51671 ER - TY - JOUR AU - Sharma, Yashoda AU - Saha, Anindita AU - Goldsack, C. Jennifer PY - 2024/2/9 TI - Defining the Dimensions of Diversity to Promote Inclusion in the Digital Era of Health Care: A Lexicon JO - JMIR Public Health Surveill SP - e51980 VL - 10 KW - digital medicine KW - inclusion KW - digital health technology/product KW - digital health KW - digital technology KW - health care system KW - innovation KW - equity KW - quality KW - disparity KW - digital era KW - digital access KW - digital literacy UR - https://publichealth.jmir.org/2024/1/e51980 UR - http://dx.doi.org/10.2196/51980 UR - http://www.ncbi.nlm.nih.gov/pubmed/38335013 ID - info:doi/10.2196/51980 ER - TY - JOUR AU - Sezgin, Emre PY - 2024/1/19 TI - Redefining Virtual Assistants in Health Care: The Future With Large Language Models JO - J Med Internet Res SP - e53225 VL - 26 KW - large language models KW - voice assistants KW - virtual assistants KW - chatbots KW - conversational agents KW - health care UR - https://www.jmir.org/2024/1/e53225 UR - http://dx.doi.org/10.2196/53225 UR - http://www.ncbi.nlm.nih.gov/pubmed/38241074 ID - info:doi/10.2196/53225 ER - TY - JOUR AU - Blease, Charlotte AU - Torous, John AU - McMillan, Brian AU - Hägglund, Maria AU - Mandl, D. Kenneth PY - 2024/1/4 TI - Generative Language Models and Open Notes: Exploring the Promise and Limitations JO - JMIR Med Educ SP - e51183 VL - 10 KW - ChatGPT KW - generative language models KW - large language models KW - medical education KW - Open Notes KW - online record access KW - patient-centered care KW - empathy KW - language model KW - documentation KW - communication tool KW - clinical documentation UR - https://mededu.jmir.org/2024/1/e51183 UR - http://dx.doi.org/10.2196/51183 UR - http://www.ncbi.nlm.nih.gov/pubmed/38175688 ID - info:doi/10.2196/51183 ER - TY - JOUR AU - Massey, M. Philip AU - Murray, M. Regan AU - Chiang, C. Shawn AU - Russell, M. Alex AU - Yudell, A. Michael PY - 2023/12/29 TI - Social Media, Public Health Research, and Vulnerability: Considerations to Advance Ethical Guidelines and Strengthen Future Research JO - JMIR Public Health Surveill SP - e49881 VL - 9 KW - research ethics KW - social media KW - vulnerable populations KW - public health KW - ethical guidelines KW - algorithms KW - manipulation UR - https://publichealth.jmir.org/2023/1/e49881 UR - http://dx.doi.org/10.2196/49881 UR - http://www.ncbi.nlm.nih.gov/pubmed/38157235 ID - info:doi/10.2196/49881 ER - TY - JOUR AU - Pedrera-Jiménez, Miguel AU - García-Barrio, Noelia AU - Frid, Santiago AU - Moner, David AU - Boscá-Tomás, Diego AU - Lozano-Rubí, Raimundo AU - Kalra, Dipak AU - Beale, Thomas AU - Muńoz-Carrero, Adolfo AU - Serrano-Balazote, Pablo PY - 2023/12/28 TI - 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 JO - J Med Internet Res SP - e48702 VL - 25 KW - electronic health records KW - FAIR principles KW - health information standards KW - HL7 FHIR KW - ISO 13606 KW - OpenEHR KW - semantics UR - https://www.jmir.org/2023/1/e48702 UR - http://dx.doi.org/10.2196/48702 UR - http://www.ncbi.nlm.nih.gov/pubmed/38153779 ID - info:doi/10.2196/48702 ER - TY - JOUR AU - Welzel, Cindy AU - Cotte, Fabienne AU - Wekenborg, Magdalena AU - Vasey, Baptiste AU - McCulloch, Peter AU - Gilbert, Stephen PY - 2023/12/20 TI - Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools JO - J Med Internet Res SP - e50158 VL - 25 KW - health technology assessment KW - human factors KW - postmarket surveillance KW - software as a medical device KW - digital health tools KW - quality assessment KW - quality improvement KW - regulatory framework KW - user experience KW - health care UR - https://www.jmir.org/2023/1/e50158 UR - http://dx.doi.org/10.2196/50158 UR - http://www.ncbi.nlm.nih.gov/pubmed/38117545 ID - info:doi/10.2196/50158 ER - TY - JOUR AU - Nourse, Rebecca AU - Dingler, Tilman AU - Kelly, Jaimon AU - Kwasnicka, Dominika AU - Maddison, Ralph PY - 2023/12/18 TI - The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions JO - J Med Internet Res SP - e44265 VL - 25 KW - smart home KW - health KW - chronic condition KW - chronic illness KW - digital health KW - technology KW - behavior change KW - wearable KW - smart technology KW - smart health KW - economic KW - cost KW - security KW - data storage KW - implementation UR - https://www.jmir.org/2023/1/e44265 UR - http://dx.doi.org/10.2196/44265 UR - http://www.ncbi.nlm.nih.gov/pubmed/38109188 ID - info:doi/10.2196/44265 ER - TY - JOUR AU - Pereira, Margarida Ana AU - Jácome, Cristina AU - Jacinto, Tiago AU - Amaral, Rita AU - Pereira, Mariana AU - Sá-Sousa, Ana AU - Couto, Mariana AU - Vieira-Marques, Pedro AU - Martinho, Diogo AU - Vieira, Ana AU - Almeida, Ana AU - Martins, Constantino AU - Marreiros, Goreti AU - Freitas, Alberto AU - Almeida, Rute AU - Fonseca, A. Joăo PY - 2023/12/13 TI - Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems JO - J Med Internet Res SP - e45364 VL - 25 KW - knowledge base KW - recommendations KW - personalization KW - clinical decision support system KW - chronic obstructive respiratory diseases KW - mobile phone UR - https://www.jmir.org/2023/1/e45364 UR - http://dx.doi.org/10.2196/45364 UR - http://www.ncbi.nlm.nih.gov/pubmed/38090790 ID - info:doi/10.2196/45364 ER - TY - JOUR AU - Woods, S. Susan AU - Oldenburg, Jan AU - van Leeuwen, Daniel AU - Sarasohn-Kahn, Jane AU - Hudson, F. Matthew PY - 2023/12/12 TI - An Extraordinary Voice Expressed Through Humor: A Tribute to Casey Quinlan JO - J Particip Med SP - e54527 VL - 15 KW - participatory medicine KW - co-design KW - co-production KW - patient engagement KW - patient empowerment KW - electronic health record KW - patient portal KW - open notes KW - evidence-based medicine KW - shared decision-making UR - https://jopm.jmir.org/2023/1/e54527 UR - http://dx.doi.org/10.2196/54527 UR - http://www.ncbi.nlm.nih.gov/pubmed/38085561 ID - info:doi/10.2196/54527 ER - TY - JOUR AU - Loveys, Kate AU - Lloyd, Erica AU - Sagar, Mark AU - Broadbent, Elizabeth PY - 2023/12/5 TI - Development of a Virtual Human for Supporting Tobacco Cessation During the COVID-19 Pandemic JO - J Med Internet Res SP - e42310 VL - 25 KW - virtual human KW - conversational agent KW - tobacco cessation KW - eHealth KW - COVID-19 KW - public health KW - virtual health worker KW - smoking cessation KW - artificial intelligence KW - AI KW - chatbot KW - digital health intervention KW - web-based health KW - mobile phone UR - https://www.jmir.org/2023/1/e42310 UR - http://dx.doi.org/10.2196/42310 UR - http://www.ncbi.nlm.nih.gov/pubmed/38051571 ID - info:doi/10.2196/42310 ER - TY - JOUR AU - Thirunavukarasu, James Arun PY - 2023/12/5 TI - How Can the Clinical Aptitude of AI Assistants Be Assayed? JO - J Med Internet Res SP - e51603 VL - 25 KW - artificial intelligence KW - AI KW - validation KW - clinical decision aid KW - artificial general intelligence KW - foundation models KW - large language models KW - LLM KW - language model KW - ChatGPT KW - chatbot KW - chatbots KW - conversational agent KW - conversational agents KW - pitfall KW - pitfalls KW - pain point KW - pain points KW - implementation KW - barrier KW - barriers KW - challenge KW - challenges UR - https://www.jmir.org/2023/1/e51603 UR - http://dx.doi.org/10.2196/51603 UR - http://www.ncbi.nlm.nih.gov/pubmed/38051572 ID - info:doi/10.2196/51603 ER - TY - JOUR AU - Fuad, Anis AU - Tiara, Agi AU - Kusumasari, Amalia Rizqiani AU - Rimawati, Rimawati AU - Murhandarwati, Herdiana E. Elsa PY - 2023/12/5 TI - Introducing a Regulatory Sandbox Into the Indonesian Health System Using e-Malaria as a Use Case: Participatory Action Study JO - J Med Internet Res SP - e47706 VL - 25 KW - regulatory sandbox KW - digital health KW - disruptive technologies KW - e-malaria KW - participatory action research KW - Indonesia N2 - 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. UR - https://www.jmir.org/2023/1/e47706 UR - http://dx.doi.org/10.2196/47706 UR - http://www.ncbi.nlm.nih.gov/pubmed/38051555 ID - info:doi/10.2196/47706 ER - TY - JOUR AU - Zhou, Siyu AU - Gromala, Diane AU - Wang, Leyu PY - 2023/12/4 TI - Ethical Challenges of Virtual Reality Technology Interventions for the Vulnerabilities of Patients With Chronic Pain: Exploration of Technician Responsibility JO - J Med Internet Res SP - e49237 VL - 25 KW - patients with chronic pain KW - vulnerability KW - virtual reality interventions KW - ethics KW - responsibility KW - technical developers UR - https://www.jmir.org/2023/1/e49237 UR - http://dx.doi.org/10.2196/49237 UR - http://www.ncbi.nlm.nih.gov/pubmed/38048153 ID - info:doi/10.2196/49237 ER - TY - JOUR AU - Li, Jingquan PY - 2023/11/28 TI - Security Implications of AI Chatbots in Health Care JO - J Med Internet Res SP - e47551 VL - 25 KW - security KW - privacy KW - chatbot KW - AI KW - artificial intelligence KW - health information KW - HIPAA KW - ChatGPT KW - computer program KW - natural language processing KW - tool KW - improvement KW - patient care KW - care KW - data security KW - guidelines KW - risk KW - policy UR - https://www.jmir.org/2023/1/e47551 UR - http://dx.doi.org/10.2196/47551 UR - http://www.ncbi.nlm.nih.gov/pubmed/38015597 ID - info:doi/10.2196/47551 ER - TY - JOUR AU - Iorga, Andrea AU - Velezis, J. Marti AU - Marinac-Dabic, Danica AU - Lario, F. Robert AU - Huff, M. Stanley AU - Gore, Beth AU - Mermel, A. Leonard AU - Bailey, Charles L. AU - Skapik, Julia AU - Willis, Debi AU - Lee, E. Robert AU - Hurst, P. Frank AU - Gressler, E. Laura AU - Reed, L. Terrie AU - Towbin, Richard AU - Baskin, M. Kevin PY - 2023/11/24 TI - Venous Access: National Guideline and Registry Development (VANGUARD): Advancing Patient-Centered Venous Access Care Through the Development of a National Coordinated Registry Network JO - J Med Internet Res SP - e43658 VL - 25 KW - central venous access devices KW - registry KW - patient-reported outcomes KW - catheter KW - CRBSI KW - CLABSI KW - development KW - patient KW - therapy KW - life-threatening KW - clinical KW - reliable KW - policy KW - system KW - medical device UR - https://www.jmir.org/2023/1/e43658 UR - http://dx.doi.org/10.2196/43658 UR - http://www.ncbi.nlm.nih.gov/pubmed/37999957 ID - info:doi/10.2196/43658 ER - TY - JOUR AU - Persky, Susan AU - Colloca, Luana PY - 2023/11/22 TI - Medical Extended Reality Trials: Building Robust Comparators, Controls, and Sham JO - J Med Internet Res SP - e45821 VL - 25 KW - augmented reality KW - clinical trial design KW - control conditions KW - medical extended reality KW - sham VR KW - virtual reality UR - https://www.jmir.org/2023/1/e45821 UR - http://dx.doi.org/10.2196/45821 UR - http://www.ncbi.nlm.nih.gov/pubmed/37991836 ID - info:doi/10.2196/45821 ER - TY - JOUR AU - Dobson, Rosie AU - Stowell, Melanie AU - Warren, Jim AU - Tane, Taria AU - Ni, Lin AU - Gu, Yulong AU - McCool, Judith AU - Whittaker, Robyn PY - 2023/11/21 TI - Use of Consumer Wearables in Health Research: Issues and Considerations JO - J Med Internet Res SP - e52444 VL - 25 KW - wearable device KW - wearable KW - wearables KW - inclusion KW - inclusive KW - inclusivity KW - data quality KW - consumer wearables KW - sensors KW - digital health KW - mental health KW - ethics KW - ethic KW - ethical KW - privacy KW - security KW - viewpoint KW - digital divide KW - data privacy KW - health information management KW - data science KW - data collection UR - https://www.jmir.org/2023/1/e52444 UR - http://dx.doi.org/10.2196/52444 UR - http://www.ncbi.nlm.nih.gov/pubmed/37988147 ID - info:doi/10.2196/52444 ER - TY - JOUR AU - Pan, Xiaogao AU - Hounye, Houssou Alphonse AU - Zhao, Yuqi AU - Cao, Cong AU - Wang, Jiaoju AU - Abidi, Venunye Mimi AU - Hou, Muzhou AU - Xiong, Li AU - Chai, Xiangping PY - 2023/11/6 TI - A Digital Mask-Voiceprint System for Postpandemic Surveillance and Tracing Based on the STRONG Strategy JO - J Med Internet Res SP - e44795 VL - 25 KW - COVID-19 KW - surveillance KW - digital tracing KW - mask management KW - voiceprint KW - Spatiotemporal Reporting Over Network and GPS KW - STRONG KW - STRONG strategy KW - living with the virus KW - dynamic clearance KW - digital surveillance KW - pandemic KW - vaccine KW - public health KW - mental KW - social KW - communication technology KW - communication KW - tracing UR - https://www.jmir.org/2023/1/e44795 UR - http://dx.doi.org/10.2196/44795 UR - http://www.ncbi.nlm.nih.gov/pubmed/37856760 ID - info:doi/10.2196/44795 ER - TY - JOUR AU - Meskó, Bertalan PY - 2023/11/2 TI - The Impact of Multimodal Large Language Models on Health Care?s Future JO - J Med Internet Res SP - e52865 VL - 25 KW - artificial intelligence KW - ChatGPT KW - digital health KW - future KW - GPT-4 KW - Generative Pre-Trained Transformer KW - large language models KW - multimodality KW - technology KW - AI KW - LLM UR - https://www.jmir.org/2023/1/e52865 UR - http://dx.doi.org/10.2196/52865 UR - http://www.ncbi.nlm.nih.gov/pubmed/37917126 ID - info:doi/10.2196/52865 ER - TY - JOUR AU - Seth, Rajeev AU - Dhaliwal, K. Baldeep AU - Miller, Emily AU - Best, Tyler AU - Sullivan, Alexis AU - Thankachen, Betty AU - Qaiyum, Yawar AU - Shet, Anita PY - 2023/10/31 TI - Leveling the Research Playing Field: Decolonizing Global Health Research Through Web-Based Platforms JO - J Med Internet Res SP - e46897 VL - 25 KW - decolonization KW - vaccination KW - community KW - community engagement KW - health equity KW - health research KW - online KW - online platform KW - web-based platform KW - systemic barrier KW - diversity KW - marginalized KW - promote KW - equity KW - research UR - https://www.jmir.org/2023/1/e46897 UR - http://dx.doi.org/10.2196/46897 UR - http://www.ncbi.nlm.nih.gov/pubmed/37906225 ID - info:doi/10.2196/46897 ER - TY - JOUR AU - Bahattab, Awsan AU - Caviglia, Marta AU - Martini, Daniela AU - Hubloue, Ives AU - Della Corte, Francesco AU - Ragazzoni, Luca PY - 2023/10/30 TI - Scenario-Based e-Simulation Design for Global Health Education: Theoretical Foundation and Practical Recommendations JO - J Med Internet Res SP - e46639 VL - 25 KW - global health KW - education KW - medical KW - computer simulation KW - scenario-based learning KW - scenario-based e-simulation KW - simulation KW - design KW - training KW - development KW - medical educator UR - https://www.jmir.org/2023/1/e46639 UR - http://dx.doi.org/10.2196/46639 UR - http://www.ncbi.nlm.nih.gov/pubmed/37902810 ID - info:doi/10.2196/46639 ER - TY - JOUR AU - Zhu, Hongjian AU - Wong, Kee Weng PY - 2023/10/16 TI - An Overview of Adaptive Designs and Some of Their Challenges, Benefits, and Innovative Applications JO - J Med Internet Res SP - e44171 VL - 25 KW - doubly adaptive biased coin designs KW - model-based optimal designs KW - particle swarm optimization KW - repair mechanism UR - https://www.jmir.org/2023/1/e44171 UR - http://dx.doi.org/10.2196/44171 UR - http://www.ncbi.nlm.nih.gov/pubmed/37843888 ID - info:doi/10.2196/44171 ER - TY - JOUR AU - Oudat, Qutaibah AU - Bakas, Tamilyn PY - 2023/10/11 TI - Merits and Pitfalls of Social Media as a Platform for Recruitment of Study Participants JO - J Med Internet Res SP - e47705 VL - 25 KW - recruitment KW - social media KW - review KW - study participant KW - methods UR - https://www.jmir.org/2023/1/e47705 UR - http://dx.doi.org/10.2196/47705 UR - http://www.ncbi.nlm.nih.gov/pubmed/37819692 ID - info:doi/10.2196/47705 ER - TY - JOUR AU - Rambaud, Kimberly AU - van Woerden, Simon AU - Palumbo, Leonardo AU - Salvi, Cristiana AU - Smallwood, Catherine AU - Rockenschaub, Gerald AU - Okoliyski, Michail AU - Marinova, Lora AU - Fomaidi, Galina AU - Djalalova, Malika AU - Faruqui, Nabiha AU - Melo Bianco, Viviane AU - Mosquera, Mario AU - Spasov, Ivaylo AU - Totskaya, Yekaterina PY - 2023/10/10 TI - Building a Chatbot in a Pandemic JO - J Med Internet Res SP - e42960 VL - 25 KW - COVID-19 KW - chatbots KW - evidence-based communication channels KW - conversational agent KW - user-centered KW - health promotion KW - digital health intervention KW - online health information KW - digital health tool KW - health communication UR - https://www.jmir.org/2023/1/e42960 UR - http://dx.doi.org/10.2196/42960 UR - http://www.ncbi.nlm.nih.gov/pubmed/37074958 ID - info:doi/10.2196/42960 ER - TY - JOUR AU - Oudin, Antoine AU - Maatoug, Redwan AU - Bourla, Alexis AU - Ferreri, Florian AU - Bonnot, Olivier AU - Millet, Bruno AU - Schoeller, Félix AU - Mouchabac, Stéphane AU - Adrien, Vladimir PY - 2023/10/4 TI - Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health JO - J Med Internet Res SP - e44502 VL - 25 KW - digital phenotype KW - empowerment KW - mental health KW - personalized medicine KW - psychiatry UR - https://www.jmir.org/2023/1/e44502 UR - http://dx.doi.org/10.2196/44502 UR - http://www.ncbi.nlm.nih.gov/pubmed/37792430 ID - info:doi/10.2196/44502 ER - TY - JOUR AU - Eustis, H. Elizabeth AU - LoPresti, Jessica AU - Aguilera, Adrian AU - Schueller, M. Stephen PY - 2023/10/3 TI - Cultural Responsivity in Technology-Enabled Services: Integrating Culture Into Technology and Service Components JO - J Med Internet Res SP - e45409 VL - 25 KW - technology KW - mobile health KW - mHealth KW - mental health KW - cultural responsivity KW - human support KW - mobile phone UR - https://www.jmir.org/2023/1/e45409 UR - http://dx.doi.org/10.2196/45409 UR - http://www.ncbi.nlm.nih.gov/pubmed/37788050 ID - info:doi/10.2196/45409 ER - TY - JOUR AU - Karampatakis, Dimitrios Georgios AU - Wood, E. Helen AU - Griffiths, J. Chris AU - Lea, C. Nathan AU - Ashcroft, E. Richard AU - Day, Bill AU - Walker, Neil AU - Coulson, S. Neil AU - De Simoni, Anna PY - 2023/9/27 TI - Ethical and Information Governance Considerations for Promoting Digital Social Interventions in Primary Care JO - J Med Internet Res SP - e44886 VL - 25 KW - data governance KW - digital health KW - digital intervention KW - digital social interventions KW - ethics KW - information governance KW - online health communities KW - peer support KW - primary care KW - social intervention UR - https://www.jmir.org/2023/1/e44886 UR - http://dx.doi.org/10.2196/44886 UR - http://www.ncbi.nlm.nih.gov/pubmed/37756051 ID - info:doi/10.2196/44886 ER - TY - JOUR AU - Khanna, Amit AU - Jones, Graham PY - 2023/9/27 TI - Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies JO - JMIR Form Res SP - e47486 VL - 7 KW - digital health KW - monitoring KW - personalized medicine KW - Parkinson disease KW - wearables KW - neurodegenerative disorder KW - cognitive impairment KW - economic burden KW - digital technology KW - symptom management KW - disease control KW - debilitating disease KW - intervention UR - https://formative.jmir.org/2023/1/e47486 UR - http://dx.doi.org/10.2196/47486 UR - http://www.ncbi.nlm.nih.gov/pubmed/37756050 ID - info:doi/10.2196/47486 ER - TY - JOUR AU - Miao, Hongyu AU - Li, Chengdong AU - Wang, Jing PY - 2023/9/26 TI - A Future of Smarter Digital Health Empowered by Generative Pretrained Transformer JO - J Med Internet Res SP - e49963 VL - 25 KW - generative pretrained model KW - artificial intelligence KW - digital health KW - generative pretrained transformer KW - ChatGPT KW - precision medicine KW - AI KW - privacy KW - ethics UR - https://www.jmir.org/2023/1/e49963 UR - http://dx.doi.org/10.2196/49963 UR - http://www.ncbi.nlm.nih.gov/pubmed/37751243 ID - info:doi/10.2196/49963 ER - TY - JOUR AU - Shaikh, Yahya AU - Gibbons, Christopher Michael PY - 2023/9/21 TI - Pathophysiologic Basis of Connected Health Systems JO - J Med Internet Res SP - e42405 VL - 25 KW - smart health KW - connected health KW - systematic methodology KW - pathophysiology KW - architecting connected health systems KW - design KW - community KW - clinic KW - environment KW - system KW - technology KW - digital therapeutic KW - therapeutic systems UR - https://www.jmir.org/2023/1/e42405 UR - http://dx.doi.org/10.2196/42405 UR - http://www.ncbi.nlm.nih.gov/pubmed/37733435 ID - info:doi/10.2196/42405 ER - TY - JOUR AU - Guo, Manping AU - Wang, Yiming AU - Yang, Qiaoning AU - Li, Rui AU - Zhao, Yang AU - Li, Chenfei AU - Zhu, Mingbo AU - Cui, Yao AU - Jiang, Xin AU - Sheng, Song AU - Li, Qingna AU - Gao, Rui PY - 2023/9/21 TI - Normal Workflow and Key Strategies for Data Cleaning Toward Real-World Data: Viewpoint JO - Interact J Med Res SP - e44310 VL - 12 KW - data cleaning KW - data quality KW - key technologies KW - real-world data KW - viewpoint UR - https://www.i-jmr.org/2023/1/e44310 UR - http://dx.doi.org/10.2196/44310 UR - http://www.ncbi.nlm.nih.gov/pubmed/37733421 ID - info:doi/10.2196/44310 ER - TY - JOUR AU - Choi, Soyoung PY - 2023/9/20 TI - Personal Health Tracking: A Paradigm Shift in the Self-Care Models in Nursing JO - JMIR Nursing SP - e50991 VL - 6 KW - personal health data KW - personal informatics KW - self-care KW - self-tracking KW - mobile health technology KW - human-technology KW - human-computer KW - human computer interaction KW - health tracking KW - framework KW - frameworks KW - model KW - models KW - mHealth KW - mobile health KW - informatics UR - https://nursing.jmir.org/2023/1/e50991 UR - http://dx.doi.org/10.2196/50991 UR - http://www.ncbi.nlm.nih.gov/pubmed/37728970 ID - info:doi/10.2196/50991 ER - TY - JOUR AU - Herington, Jonathan AU - Connelly, Kay AU - Illes, Judy PY - 2023/9/18 TI - Ethical Imperatives for Working With Diverse Populations in Digital Research JO - J Med Internet Res SP - e47884 VL - 25 KW - digital health research KW - justice KW - research ethics KW - diversity KW - engagement KW - research participants KW - participatory UR - https://www.jmir.org/2023/1/e47884 UR - http://dx.doi.org/10.2196/47884 UR - http://www.ncbi.nlm.nih.gov/pubmed/37721792 ID - info:doi/10.2196/47884 ER - TY - JOUR AU - Reddy, Sandeep PY - 2023/9/11 TI - Navigating the AI Revolution: The Case for Precise Regulation in Health Care JO - J Med Internet Res SP - e49989 VL - 25 KW - artificial intelligence KW - AI KW - health care KW - regulation KW - precise regulation KW - patient safety KW - AI ethics UR - https://www.jmir.org/2023/1/e49989 UR - http://dx.doi.org/10.2196/49989 UR - http://www.ncbi.nlm.nih.gov/pubmed/37695650 ID - info:doi/10.2196/49989 ER - TY - JOUR AU - Suleski, Tance AU - Ahmed, Mohiuddin PY - 2023/8/29 TI - A Data Taxonomy for Adaptive Multifactor Authentication in the Internet of Health Care Things JO - J Med Internet Res SP - e44114 VL - 25 KW - health care KW - authentication KW - contextual data model KW - Internet of Health Care Things KW - multifactor KW - mobile phone UR - https://www.jmir.org/2023/1/e44114 UR - http://dx.doi.org/10.2196/44114 UR - http://www.ncbi.nlm.nih.gov/pubmed/37490633 ID - info:doi/10.2196/44114 ER - TY - JOUR AU - Tajabadi, Mohammad AU - Grabenhenrich, Linus AU - Ribeiro, Adčle AU - Leyer, Michael AU - Heider, Dominik PY - 2023/8/29 TI - Sharing Data With Shared Benefits: Artificial Intelligence Perspective JO - J Med Internet Res SP - e47540 VL - 25 KW - federated learning KW - machine learning KW - medical data KW - fairness KW - data sharing KW - artificial intelligence KW - development KW - artificial intelligence model KW - applications KW - data analysis KW - diagnostic tool KW - tool UR - https://www.jmir.org/2023/1/e47540 UR - http://dx.doi.org/10.2196/47540 UR - http://www.ncbi.nlm.nih.gov/pubmed/37642995 ID - info:doi/10.2196/47540 ER - TY - JOUR AU - van Kessel, Robin AU - Haig, Madeleine AU - Mossialos, Elias PY - 2023/8/24 TI - Strengthening Cybersecurity for Patient Data Protection in Europe JO - J Med Internet Res SP - e48824 VL - 25 KW - cybersecurity KW - Europe KW - European Health Data Space KW - digital health KW - mHealth KW - medical informatics KW - data privacy KW - patient safety KW - privacy KW - health service UR - https://www.jmir.org/2023/1/e48824 UR - http://dx.doi.org/10.2196/48824 UR - http://www.ncbi.nlm.nih.gov/pubmed/37616048 ID - info:doi/10.2196/48824 ER - TY - JOUR AU - Liang, Huan-Wei AU - Chu, Yuan-Chia AU - Han, Tsung-Hsien PY - 2023/8/18 TI - Fortifying Health Care Intellectual Property Transactions With Blockchain JO - J Med Internet Res SP - e44578 VL - 25 KW - intellectual property KW - open innovation KW - blockchain KW - appropriability regime KW - health care KW - mobile phone N2 - 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. UR - https://www.jmir.org/2023/1/e44578 UR - http://dx.doi.org/10.2196/44578 UR - http://www.ncbi.nlm.nih.gov/pubmed/37594787 ID - info:doi/10.2196/44578 ER - TY - JOUR AU - Wang, Changyu AU - Liu, Siru AU - Yang, Hao AU - Guo, Jiulin AU - Wu, Yuxuan AU - Liu, Jialin PY - 2023/8/11 TI - Ethical Considerations of Using ChatGPT in Health Care JO - J Med Internet Res SP - e48009 VL - 25 KW - ethics KW - ChatGPT KW - artificial intelligence KW - AI KW - large language models KW - health care KW - artificial intelligence development KW - development KW - algorithm KW - patient safety KW - patient privacy KW - safety KW - privacy UR - https://www.jmir.org/2023/1/e48009 UR - http://dx.doi.org/10.2196/48009 UR - http://www.ncbi.nlm.nih.gov/pubmed/37566454 ID - info:doi/10.2196/48009 ER - TY - JOUR AU - Pillai, Malvika AU - Griffin, C. Ashley AU - Kronk, A. Clair AU - McCall, Terika PY - 2023/8/4 TI - Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities JO - J Med Internet Res SP - e48498 VL - 25 KW - ChatGPT KW - natural language processing KW - community-based participatory research KW - research design KW - artificial intelligence KW - participatory KW - co-design KW - machine learning KW - co-creation KW - community based KW - lived experience KW - lived experiences KW - collaboration KW - collaborative UR - https://www.jmir.org/2023/1/e48498 UR - http://dx.doi.org/10.2196/48498 UR - http://www.ncbi.nlm.nih.gov/pubmed/37540551 ID - info:doi/10.2196/48498 ER - TY - JOUR AU - Pham, Quynh AU - Wong, David AU - Pfisterer, J. Kaylen AU - Aleman, Dionne AU - Bansback, Nick AU - Cafazzo, A. Joseph AU - Casson, J. Alexander AU - Chan, Brian AU - Dixon, William AU - Kakaroumpas, Gerasimos AU - Lindner, Claudia AU - Peek, Niels AU - Potts, WW Henry AU - Ribeiro, Barbara AU - Seto, Emily AU - Stockton-Powdrell, Charlotte AU - Thompson, Alexander AU - van der Veer, Sabine PY - 2023/8/1 TI - The Complexity of Transferring Remote Monitoring and Virtual Care Technology Between Countries: Lessons From an International Workshop JO - J Med Internet Res SP - e46873 VL - 25 KW - digital health innovation KW - digital health intervention KW - digital health landscape KW - digital health solution KW - health care system KW - regulatory pathway KW - remote monitoring KW - technology transfer KW - virtual care UR - https://www.jmir.org/2023/1/e46873 UR - http://dx.doi.org/10.2196/46873 UR - http://www.ncbi.nlm.nih.gov/pubmed/37526964 ID - info:doi/10.2196/46873 ER - TY - JOUR AU - Bettencourt, Nicholas AU - Wilson, John Conor AU - Johnson, Jaye Philippa AU - D'Souza, Fabian PY - 2023/7/31 TI - A Rebalancing of Financial Valuations and Expectations Moving Forward in the Telehealth Sector as the United States Moves Toward a Post-COVID-19 Reality JO - J Med Internet Res SP - e35857 VL - 25 KW - telehealth KW - telemedicine KW - remote consultation KW - eHealth KW - internet KW - mHealth KW - mobile health KW - digital health KW - delivery of health care KW - telecommunication KW - web-based care KW - web-based medicine KW - customer KW - economy KW - economics UR - https://www.jmir.org/2023/1/e35857 UR - http://dx.doi.org/10.2196/35857 UR - http://www.ncbi.nlm.nih.gov/pubmed/37523216 ID - info:doi/10.2196/35857 ER - TY - JOUR AU - Fournier-Tombs, Eleonore AU - McHardy, Juliette PY - 2023/7/26 TI - A Medical Ethics Framework for Conversational Artificial Intelligence JO - J Med Internet Res SP - e43068 VL - 25 KW - chatbot KW - medicine KW - ethics KW - AI ethics KW - AI policy KW - conversational agent KW - COVID-19 KW - risk KW - medical ethics KW - privacy KW - data governance KW - artificial intelligence UR - https://www.jmir.org/2023/1/e43068 UR - http://dx.doi.org/10.2196/43068 UR - http://www.ncbi.nlm.nih.gov/pubmed/37224277 ID - info:doi/10.2196/43068 ER - TY - JOUR AU - Hřj, Bordier Stine AU - de Montigny, Catherine AU - Chougar, Sofiane AU - Léandre, Robert AU - Beauchemin-Nadeau, Marie-Čve AU - Boyer-Legault, Genevičve AU - Goyette, Amélie AU - Lamont, Sara-Kim AU - Bruneau, Julie PY - 2023/7/26 TI - 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 JO - JMIR Public Health Surveill SP - e39236 VL - 9 KW - opioid agonist treatment KW - opioid use disorder KW - medications for opioid use disorder KW - harm reduction KW - access to care KW - retention KW - telemedicine KW - telehealth KW - community-based services KW - opioid use KW - remote care KW - healthcare service KW - health care service KW - COVID-19 KW - substance abuse KW - opioid disorder UR - https://publichealth.jmir.org/2023/1/e39236 UR - http://dx.doi.org/10.2196/39236 UR - http://www.ncbi.nlm.nih.gov/pubmed/37494097 ID - info:doi/10.2196/39236 ER - TY - JOUR AU - Queen, Roz AU - Courtney, L. Karen AU - Lau, Francis AU - Davison, Kelly AU - Devor, Aaron AU - Antonio, G. Marcy PY - 2023/7/25 TI - What?s Next for Modernizing Gender, Sex, and Sexual Orientation Terminology in Digital Health Systems? Viewpoint on Research and Implementation Priorities JO - J Med Internet Res SP - e46773 VL - 25 KW - data sharing KW - digital health systems KW - digital health KW - gender, sex, and sexual orientation KW - electronic health records KW - GSSO KW - Health Information Standards KW - LGBT health KW - LGBT KW - policy UR - https://www.jmir.org/2023/1/e46773 UR - http://dx.doi.org/10.2196/46773 UR - http://www.ncbi.nlm.nih.gov/pubmed/37490327 ID - info:doi/10.2196/46773 ER - TY - JOUR AU - Wolfien, Markus AU - Ahmadi, Najia AU - Fitzer, Kai AU - Grummt, Sophia AU - Heine, Kilian-Ludwig AU - Jung, Ian-C AU - Krefting, Dagmar AU - Kühn, Andreas AU - Peng, Yuan AU - Reinecke, Ines AU - Scheel, Julia AU - Schmidt, Tobias AU - Schmücker, Paul AU - Schüttler, Christina AU - Waltemath, Dagmar AU - Zoch, Michele AU - Sedlmayr, Martin PY - 2023/7/24 TI - Ten Topics to Get Started in Medical Informatics Research JO - J Med Internet Res SP - e45948 VL - 25 KW - medical informatics KW - health informatics KW - interdisciplinary communication KW - research data KW - clinical data KW - digital health UR - https://www.jmir.org/2023/1/e45948 UR - http://dx.doi.org/10.2196/45948 UR - http://www.ncbi.nlm.nih.gov/pubmed/37486754 ID - info:doi/10.2196/45948 ER - TY - JOUR AU - Ruza, Ieva PY - 2023/7/5 TI - Exploring the Road of Women to Medical Leadership: A European Perspective JO - J Med Internet Res SP - e49247 VL - 25 KW - women KW - leadership KW - gender pay gap KW - childcare KW - mentorship KW - medicine KW - European perspective UR - https://www.jmir.org/2023/1/e49247 UR - http://dx.doi.org/10.2196/49247 UR - http://www.ncbi.nlm.nih.gov/pubmed/37405827 ID - info:doi/10.2196/49247 ER - TY - JOUR AU - Liu, Jialin AU - Wang, Changyu AU - Liu, Siru PY - 2023/6/28 TI - Utility of ChatGPT in Clinical Practice JO - J Med Internet Res SP - e48568 VL - 25 KW - ChatGPT KW - artificial intelligence KW - large language models KW - clinical practice KW - large language model KW - natural language processing KW - NLP KW - doctor-patient KW - patient-physician KW - communication KW - challenges KW - barriers KW - recommendations KW - guidance KW - guidelines KW - best practices KW - risks UR - https://www.jmir.org/2023/1/e48568 UR - http://dx.doi.org/10.2196/48568 UR - http://www.ncbi.nlm.nih.gov/pubmed/37379067 ID - info:doi/10.2196/48568 ER - TY - JOUR AU - Mesko, Bertalan PY - 2023/6/22 TI - The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals JO - J Med Internet Res SP - e48392 VL - 25 KW - artificial intelligence KW - digital health KW - future KW - technology KW - ChatGPT KW - medical practice KW - large language model KW - language model KW - generative KW - conversational agent KW - conversation agents KW - chatbot KW - generated text KW - computer generated KW - medical education KW - continuing education KW - professional development KW - curriculum KW - curricula UR - https://www.jmir.org/2023/1/e48392 UR - http://dx.doi.org/10.2196/48392 UR - http://www.ncbi.nlm.nih.gov/pubmed/37347508 ID - info:doi/10.2196/48392 ER - TY - JOUR AU - Malerbi, Korn Fernando AU - Nakayama, Filipe Luis AU - Gayle Dychiao, Robyn AU - Zago Ribeiro, Lucas AU - Villanueva, Cleva AU - Celi, Anthony Leo AU - Regatieri, Vinicius Caio PY - 2023/6/22 TI - Digital Education for the Deployment of Artificial Intelligence in Health Care JO - J Med Internet Res SP - e43333 VL - 25 KW - artificial intelligence KW - digital health KW - health education KW - machine learning KW - digital education KW - digital KW - education KW - transformation KW - neural KW - network KW - evaluation KW - dataset KW - data KW - set KW - clinical UR - https://www.jmir.org/2023/1/e43333 UR - http://dx.doi.org/10.2196/43333 UR - http://www.ncbi.nlm.nih.gov/pubmed/37347537 ID - info:doi/10.2196/43333 ER - TY - JOUR AU - Burnette, Colin AU - Smithy, William AU - Strock, Daniel AU - Sivesind, E. Torunn AU - Dellavalle, Robert PY - 2023/6/22 TI - The Importance of Gender-Neutral Terminology in Risk Evaluation and Mitigation Strategy Programs: A Call to Action JO - JMIR Dermatol SP - e45329 VL - 6 KW - iPLEDGE KW - REMS KW - evaluation and mitigation strategy KW - gender dysmorphia KW - transgender patients KW - call to action KW - oral retinoid KW - medical community KW - gender KW - identity KW - biological sex KW - accessibility KW - barrier KW - gender diversity KW - quality of care KW - treatment UR - https://derma.jmir.org/2023/1/e45329 UR - http://dx.doi.org/10.2196/45329 UR - http://www.ncbi.nlm.nih.gov/pubmed/37632908 ID - info:doi/10.2196/45329 ER - TY - JOUR AU - van der Schyff, L. Emma AU - Ridout, Brad AU - Amon, L. Krestina AU - Forsyth, Rowena AU - Campbell, J. Andrew PY - 2023/6/19 TI - Providing Self-Led Mental Health Support Through an Artificial Intelligence?Powered Chat Bot (Leora) to Meet the Demand of Mental Health Care JO - J Med Internet Res SP - e46448 VL - 25 KW - mental health KW - chatbots KW - conversational agents KW - anxiety KW - depression KW - AI KW - support KW - web-based service KW - web-based KW - deployment KW - stigma KW - users KW - symptoms KW - mental health care KW - self-led UR - https://www.jmir.org/2023/1/e46448 UR - http://dx.doi.org/10.2196/46448 UR - http://www.ncbi.nlm.nih.gov/pubmed/37335608 ID - info:doi/10.2196/46448 ER - TY - JOUR AU - Himstedt, S. Jessica D. AU - Bloomgarden, Eve AU - Shah, Purvi PY - 2023/6/16 TI - Empowering the Invisible: Accelerating Leadership Development for Midcareer Women in Medicine JO - J Med Internet Res SP - e47801 VL - 25 KW - leadership development KW - women in medicine KW - gender parity KW - leadership in medicine KW - women physicians KW - midcareer development UR - https://www.jmir.org/2023/1/e47801 UR - http://dx.doi.org/10.2196/47801 UR - http://www.ncbi.nlm.nih.gov/pubmed/37327052 ID - info:doi/10.2196/47801 ER - TY - JOUR AU - Meese, A. Katherine AU - Boitet, M. Laurence AU - Sweeney, L. Katherine AU - Nassetta, Lauren AU - Mugavero, Michael AU - Hidalgo, Bertha AU - Reamey, Rebecca AU - Rogers, A. David PY - 2023/6/14 TI - Still Exhausted: The Role of Residual Caregiving Fatigue on Women in Medicine and Science Across the Pipeline JO - J Med Internet Res SP - e47629 VL - 25 KW - caregiving KW - women in medicine KW - exhaustion KW - childcare KW - burden KW - burnout KW - stress KW - caregiver KW - women KW - professional KW - child KW - eldercare KW - elderly KW - older adults KW - older adult KW - gerontology KW - family care KW - informal care KW - unpaid care KW - survey UR - https://www.jmir.org/2023/1/e47629 UR - http://dx.doi.org/10.2196/47629 UR - http://www.ncbi.nlm.nih.gov/pubmed/37314842 ID - info:doi/10.2196/47629 ER - TY - JOUR AU - Allan, M. Jessica AU - Brooks, K. Amber AU - Crusto, Cindy AU - Feld, D. Lauren AU - Oxentenko, S. Amy AU - Spector, D. Nancy AU - Verduzco-Gutierrez, Monica AU - Silver, K. Julie PY - 2023/6/13 TI - Five Strategies Leaders in Academic Medicine Can Implement Now to Enhance Gender Equity JO - J Med Internet Res SP - e47933 VL - 25 KW - gender equity KW - diversity KW - leadership KW - academic medicine KW - gender KW - medicine KW - women in medicine KW - strategies KW - equity UR - https://www.jmir.org/2023/1/e47933 UR - http://dx.doi.org/10.2196/47933 UR - http://www.ncbi.nlm.nih.gov/pubmed/37310782 ID - info:doi/10.2196/47933 ER - TY - JOUR AU - Allen, Jay-Sheree AU - Oxentenko, Amy PY - 2023/6/13 TI - Four Lessons Learned From Career Pivots in Academic Medicine JO - J Med Internet Res SP - e47641 VL - 25 KW - women KW - academic medicine KW - career KW - pivot KW - transition KW - women in medicine UR - https://www.jmir.org/2023/1/e47641 UR - http://dx.doi.org/10.2196/47641 UR - http://www.ncbi.nlm.nih.gov/pubmed/37310784 ID - info:doi/10.2196/47641 ER - TY - JOUR AU - Pendergrast, Tricia PY - 2023/6/8 TI - Description of the Novel Networking, Open Discussion, Engagement, and Self-Promotion (NODES) Framework for the Advancement of Women Physicians on Social Media JO - J Med Internet Res SP - e48965 VL - 25 KW - social media KW - gender equity KW - women in medicine KW - woman physician KW - NODES framework KW - self-promotion KW - networking KW - open discussion UR - https://www.jmir.org/2023/1/e48965 UR - http://dx.doi.org/10.2196/48965 UR - http://www.ncbi.nlm.nih.gov/pubmed/37289490 ID - info:doi/10.2196/48965 ER - TY - JOUR AU - Fridman, Ilona AU - Johnson, Skyler AU - Elston Lafata, Jennifer PY - 2023/6/7 TI - Health Information and Misinformation: A Framework to Guide Research and Practice JO - JMIR Med Educ SP - e38687 VL - 9 KW - misinformation KW - social networks KW - decision-making KW - information validation KW - policy KW - health information KW - web-based UR - https://mededu.jmir.org/2023/1/e38687 UR - http://dx.doi.org/10.2196/38687 UR - http://www.ncbi.nlm.nih.gov/pubmed/37285192 ID - info:doi/10.2196/38687 ER - TY - JOUR AU - Karabacak, Mert AU - Ozkara, Berksu Burak AU - Margetis, Konstantinos AU - Wintermark, Max AU - Bisdas, Sotirios PY - 2023/6/6 TI - The Advent of Generative Language Models in Medical Education JO - JMIR Med Educ SP - e48163 VL - 9 KW - generative language model KW - artificial intelligence KW - medical education KW - ChatGPT KW - academic integrity KW - AI-driven feedback KW - stimulation KW - evaluation KW - technology KW - learning environment KW - medical student UR - https://mededu.jmir.org/2023/1/e48163 UR - http://dx.doi.org/10.2196/48163 UR - http://www.ncbi.nlm.nih.gov/pubmed/37279048 ID - info:doi/10.2196/48163 ER - TY - JOUR AU - Silver, K. Julie AU - Gavini, Nara PY - 2023/5/25 TI - The Push-Pull Mentoring Model: Ensuring the Success of Mentors and Mentees JO - J Med Internet Res SP - e48037 VL - 25 KW - mentorship KW - mentor KW - medical education KW - diversity KW - equity KW - Push-Pull Mentoring Model UR - https://www.jmir.org/2023/1/e48037 UR - http://dx.doi.org/10.2196/48037 UR - http://www.ncbi.nlm.nih.gov/pubmed/37227764 ID - info:doi/10.2196/48037 ER - TY - JOUR AU - Silver, K. Julie PY - 2023/5/25 TI - Six Practical Strategies to Mentor and Sponsor Women in Academic Medicine JO - J Med Internet Res SP - e47799 VL - 25 KW - diversity KW - women KW - women in medicine KW - mentorship KW - sponsorship KW - academic medicine UR - https://www.jmir.org/2023/1/e47799 UR - http://dx.doi.org/10.2196/47799 UR - http://www.ncbi.nlm.nih.gov/pubmed/37227763 ID - info:doi/10.2196/47799 ER - TY - JOUR AU - Chaney, Cunard Sarah AU - Mechael, Patricia PY - 2023/5/24 TI - So Many Choices, How Do I Choose? Considerations for Selecting Digital Health Interventions to Support Immunization Confidence and Demand JO - J Med Internet Res SP - e47713 VL - 25 KW - immunization KW - social listening KW - mobile messaging KW - service delivery KW - low- and middle-income countries KW - LMIC KW - vaccines KW - demand KW - mHealth KW - vaccine confidence KW - public health system KW - vaccination KW - children KW - community health KW - digital health intervention KW - health promotion UR - https://www.jmir.org/2023/1/e47713 UR - http://dx.doi.org/10.2196/47713 UR - http://www.ncbi.nlm.nih.gov/pubmed/37223980 ID - info:doi/10.2196/47713 ER - TY - JOUR AU - Giovanelli, Alison AU - Rowe, Jonathan AU - Taylor, Madelynn AU - Berna, Mark AU - Tebb, P. Kathleen AU - Penilla, Carlos AU - Pugatch, Marianne AU - Lester, James AU - Ozer, M. Elizabeth PY - 2023/5/24 TI - Supporting Adolescent Engagement with Artificial Intelligence?Driven Digital Health Behavior Change Interventions JO - J Med Internet Res SP - e40306 VL - 25 KW - digital health behavior change KW - adolescent KW - adolescence KW - behavior change KW - BCT KW - behavioral intervention KW - artificial intelligence KW - machine learning KW - model KW - AI ethics KW - trace log data KW - ethics KW - ethical KW - youth KW - risky behavior KW - engagement KW - privacy KW - security KW - optimization KW - operationalization UR - https://www.jmir.org/2023/1/e40306 UR - http://dx.doi.org/10.2196/40306 UR - http://www.ncbi.nlm.nih.gov/pubmed/37223987 ID - info:doi/10.2196/40306 ER - TY - JOUR AU - Chenais, Gabrielle AU - Lagarde, Emmanuel AU - Gil-Jardiné, Cédric PY - 2023/5/23 TI - Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges JO - J Med Internet Res SP - e40031 VL - 25 KW - viewpoint KW - ethics KW - artificial intelligence KW - emergency medicine KW - perspectives KW - mobile phone UR - https://www.jmir.org/2023/1/e40031 UR - http://dx.doi.org/10.2196/40031 UR - http://www.ncbi.nlm.nih.gov/pubmed/36972306 ID - info:doi/10.2196/40031 ER - TY - JOUR AU - Assing Hvidt, Elisabeth AU - Atherton, Helen AU - Keuper, Jelle AU - Kristiansen, Eli AU - Lüchau, Christine Elle AU - Lřnnebakke Norberg, Břrge AU - Steinhäuser, Jost AU - van den Heuvel, Johannes AU - van Tuyl, Lilian PY - 2023/5/22 TI - Low Adoption of Video Consultations in Post?COVID-19 General Practice in Northern Europe: Barriers to Use and Potential Action Points JO - J Med Internet Res SP - e47173 VL - 25 KW - video consultation KW - adoption KW - general practice KW - Northern Europe KW - barriers KW - action potential KW - Europe KW - viewpoint KW - consultation KW - barrier KW - clinician KW - digital care KW - care KW - implementation KW - practitioner KW - COVID-19 KW - research UR - https://www.jmir.org/2023/1/e47173 UR - http://dx.doi.org/10.2196/47173 UR - http://www.ncbi.nlm.nih.gov/pubmed/37213196 ID - info:doi/10.2196/47173 ER - TY - JOUR AU - Xiang, Tao AU - Zhang, Yong Pei AU - Zhuo, Ying Guang AU - Dai, Hang PY - 2023/5/22 TI - Contribution of the 5G Smart First-Aid Care Platform to Achieving High-Quality Prehospital Care JO - J Med Internet Res SP - e43374 VL - 25 KW - fifth generation KW - 5G KW - prehospital first-aid care KW - smart medical care KW - telemedicine UR - https://www.jmir.org/2023/1/e43374 UR - http://dx.doi.org/10.2196/43374 UR - http://www.ncbi.nlm.nih.gov/pubmed/37213169 ID - info:doi/10.2196/43374 ER - TY - JOUR AU - Gustavson, M. Allison AU - Lewinski, A. Allison AU - Fitzsimmons-Craft, E. Ellen AU - Coronado, D. Gloria AU - Linke, E. Sarah AU - O'Malley, M. Denalee AU - Adams, S. Alyce AU - Glasgow, E. Russell AU - Klesges, M. Lisa PY - 2023/5/15 TI - Strategies to Bridge Equitable Implementation of Telehealth JO - Interact J Med Res SP - e40358 VL - 12 KW - implementation science KW - equity KW - telehealth KW - equitable implementation KW - digital age KW - post pandemic UR - https://www.i-jmr.org/2023/1/e40358 UR - http://dx.doi.org/10.2196/40358 UR - http://www.ncbi.nlm.nih.gov/pubmed/37184909 ID - info:doi/10.2196/40358 ER - TY - JOUR AU - Dorsey, Chelsea AU - Arora, M. Vineet AU - Carter, Keme PY - 2023/5/10 TI - Fixing Flexner: Disrupting and Rebuilding Academic Medicine for Women of Color to Lead JO - J Med Internet Res SP - e47773 VL - 25 KW - Flexner Report KW - diversity KW - leadership KW - minority tax KW - Flexner KW - color KW - diverse KW - medical education KW - academia KW - women KW - minority KW - academic UR - https://www.jmir.org/2023/1/e47773 UR - http://dx.doi.org/10.2196/47773 UR - http://www.ncbi.nlm.nih.gov/pubmed/37163317 ID - info:doi/10.2196/47773 ER - TY - JOUR AU - Deniz-Garcia, Alejandro AU - Fabelo, Himar AU - Rodriguez-Almeida, J. Antonio AU - Zamora-Zamorano, Garlene AU - Castro-Fernandez, Maria AU - Alberiche Ruano, Pino Maria del AU - Solvoll, Terje AU - Granja, Conceiçăo AU - Schopf, Roger Thomas AU - Callico, M. Gustavo AU - Soguero-Ruiz, Cristina AU - Wägner, M. Ana AU - PY - 2023/5/4 TI - Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges JO - J Med Internet Res SP - e44030 VL - 25 KW - artificial intelligence KW - chronic disease prevention and management KW - big data KW - mobile health KW - mHealth KW - noncommunicable diseases KW - mobile phone UR - https://www.jmir.org/2023/1/e44030 UR - http://dx.doi.org/10.2196/44030 UR - http://www.ncbi.nlm.nih.gov/pubmed/37140973 ID - info:doi/10.2196/44030 ER - TY - JOUR AU - Pagoto, L. Sherry AU - Palmer, Lindsay AU - Horwitz-Willis, Nate PY - 2023/5/4 TI - The Next Infodemic: Abortion Misinformation JO - J Med Internet Res SP - e42582 VL - 25 KW - abortion KW - reproductive health KW - misinformation KW - online KW - infodemic KW - misleading information KW - online health information KW - health authority KW - public health KW - women's health UR - https://www.jmir.org/2023/1/e42582 UR - http://dx.doi.org/10.2196/42582 UR - http://www.ncbi.nlm.nih.gov/pubmed/37140975 ID - info:doi/10.2196/42582 ER - TY - JOUR AU - Gilbert, Stephen AU - Anderson, Stuart AU - Daumer, Martin AU - Li, Phoebe AU - Melvin, Tom AU - Williams, Robin PY - 2023/4/14 TI - Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies JO - J Med Internet Res SP - e43682 VL - 25 KW - artificial intelligence KW - machine learning KW - regulation KW - algorithm change protocol KW - health care KW - regulatory framework KW - medical tool KW - tool KW - patient KW - intervention KW - safety KW - performance KW - technology KW - implementation UR - https://www.jmir.org/2023/1/e43682 UR - http://dx.doi.org/10.2196/43682 UR - http://www.ncbi.nlm.nih.gov/pubmed/37058329 ID - info:doi/10.2196/43682 ER - TY - JOUR AU - Velummailum, Ruthiran Russanthy AU - McKibbon, Chelsea AU - Brenner, R. Darren AU - Stringer, Ann Elizabeth AU - Ekstrom, Leeland AU - Dron, Louis PY - 2023/4/5 TI - Data Challenges for Externally Controlled Trials: Viewpoint JO - J Med Internet Res SP - e43484 VL - 25 KW - external control arm KW - synthetic control arm KW - single-arm trial KW - real-world evidence KW - regulatory approval KW - data KW - clinical KW - decision-making KW - efficacy KW - rare conditions KW - trial UR - https://www.jmir.org/2023/1/e43484 UR - http://dx.doi.org/10.2196/43484 UR - http://www.ncbi.nlm.nih.gov/pubmed/37018021 ID - info:doi/10.2196/43484 ER - TY - JOUR AU - Khan, Ullah Waqas AU - Seto, Emily PY - 2023/4/5 TI - 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 JO - J Med Internet Res SP - e43386 VL - 25 KW - artificial intelligence KW - AI KW - safety checklist KW - Do No Harm KW - biological-psychological factors KW - economic factors KW - social factors KW - AI medical hardware devices KW - AI medical mobile apps KW - AI medical software programs UR - https://www.jmir.org/2023/1/e43386 UR - http://dx.doi.org/10.2196/43386 UR - http://www.ncbi.nlm.nih.gov/pubmed/37018019 ID - info:doi/10.2196/43386 ER - TY - JOUR AU - Jackson, Malia Alexandra AU - Woo, Juhee AU - Olson, Marley AU - Dalisay, Francis AU - Pokhrel, Pallav AU - Muller, J. Clemma AU - Okamoto, K. Scott PY - 2023/3/30 TI - Methodological Challenges in Web-Based Qualitative Research With Medically Underserved Populations JO - J Med Internet Res SP - e44086 VL - 25 KW - data collection KW - internet KW - mischievous responders KW - recruitment KW - qualitative KW - technology UR - https://www.jmir.org/2023/1/e44086 UR - http://dx.doi.org/10.2196/44086 UR - http://www.ncbi.nlm.nih.gov/pubmed/36995748 ID - info:doi/10.2196/44086 ER - TY - JOUR AU - Blackie, A. Caroline AU - Gualtieri, Lisa AU - Kasturi, Shanthini PY - 2023/3/29 TI - Listening to Patients With Lupus: Why Not Proactively Integrate the Internet as a Resource to Drive Improved Care? JO - J Med Internet Res SP - e44660 VL - 25 KW - lupus KW - patient symptom KW - patient journey KW - chronic disease KW - lived experience KW - patient experience KW - patient need KW - digital health intervention KW - autoimmune disease KW - clinical care KW - digital voice KW - social media KW - patient care KW - online community KW - social listening KW - autoimmune KW - experience KW - perspective UR - https://www.jmir.org/2023/1/e44660 UR - http://dx.doi.org/10.2196/44660 UR - http://www.ncbi.nlm.nih.gov/pubmed/36989021 ID - info:doi/10.2196/44660 ER - TY - JOUR AU - de Hoogh, M. Iris AU - Reinders, J. Machiel AU - Doets, L. Esmée AU - Hoevenaars, M. Femke P. AU - Top, L. Jan PY - 2023/3/29 TI - Design Issues in Personalized Nutrition Advice Systems JO - J Med Internet Res SP - e37667 VL - 25 KW - personalized nutrition KW - eHealth design KW - health measurements KW - dietary advice KW - behavior change support KW - knowledge rules KW - modeling KW - sense KW - reason KW - act UR - https://www.jmir.org/2023/1/e37667 UR - http://dx.doi.org/10.2196/37667 UR - http://www.ncbi.nlm.nih.gov/pubmed/36989039 ID - info:doi/10.2196/37667 ER - TY - JOUR AU - Chen, You AU - Clayton, Wright Ellen AU - Novak, Lovett Laurie AU - Anders, Shilo AU - Malin, Bradley PY - 2023/3/24 TI - Human-Centered Design to Address Biases in Artificial Intelligence JO - J Med Internet Res SP - e43251 VL - 25 KW - artificial intelligence KW - human-centered AI KW - biases KW - AI KW - care KW - biomedical KW - research KW - application KW - human-centered KW - development KW - design KW - patient KW - health KW - benefits UR - https://www.jmir.org/2023/1/e43251 UR - http://dx.doi.org/10.2196/43251 UR - http://www.ncbi.nlm.nih.gov/pubmed/36961506 ID - info:doi/10.2196/43251 ER - TY - JOUR AU - Adams, C. Lisa AU - Busch, Felix AU - Truhn, Daniel AU - Makowski, R. Marcus AU - Aerts, L. Hugo J. W. AU - Bressem, K. Keno PY - 2023/3/16 TI - What Does DALL-E 2 Know About Radiology? JO - J Med Internet Res SP - e43110 VL - 25 KW - DALL-E KW - creating images from text KW - image creation KW - image generation KW - transformer language model KW - machine learning KW - generative model KW - radiology KW - x-ray KW - artificial intelligence KW - medical imaging KW - text-to-image KW - diagnostic imaging UR - https://www.jmir.org/2023/1/e43110 UR - http://dx.doi.org/10.2196/43110 UR - http://www.ncbi.nlm.nih.gov/pubmed/36927634 ID - info:doi/10.2196/43110 ER - TY - JOUR AU - Whitehead, David AU - Conley, Jared PY - 2023/3/16 TI - The Next Frontier of Remote Patient Monitoring: Hospital at Home JO - J Med Internet Res SP - e42335 VL - 25 KW - hospital at home KW - remote patient monitoring KW - RPM KW - digital health KW - remote monitoring KW - remote care KW - vital sign KW - telemetry KW - fall KW - cost KW - care delivery KW - service delivery UR - https://www.jmir.org/2023/1/e42335 UR - http://dx.doi.org/10.2196/42335 UR - http://www.ncbi.nlm.nih.gov/pubmed/36928088 ID - info:doi/10.2196/42335 ER - TY - JOUR AU - De Boer, Christopher AU - Ghomrawi, Hassan AU - Zeineddin, Suhail AU - Linton, Samuel AU - Kwon, Soyang AU - Abdullah, Fizan PY - 2023/3/14 TI - A Call to Expand the Scope of Digital Phenotyping JO - J Med Internet Res SP - e39546 VL - 25 KW - digital phenotyping KW - wearables KW - digital health KW - data collection KW - real-time KW - data KW - digital devices KW - smartphones KW - phenotype KW - quantification KW - phenotyping KW - wearable devices KW - tracking KW - monitoring KW - clinical data KW - applcaition KW - implementation UR - https://www.jmir.org/2023/1/e39546 UR - http://dx.doi.org/10.2196/39546 UR - http://www.ncbi.nlm.nih.gov/pubmed/36917148 ID - info:doi/10.2196/39546 ER - TY - JOUR AU - Bonn, E. Stephanie AU - Alexandrou, Christina AU - Trolle Lagerros, Ylva PY - 2023/3/14 TI - A Digital Platform and Smartphone App to Increase Physical Activity in Patients With Type 2 Diabetes: Overview Of a Technical Solution JO - JMIR Form Res SP - e40285 VL - 7 KW - methods KW - mHealth KW - mobile app KW - self-management KW - smartphone KW - digital KW - platform KW - physical activity KW - diabetes KW - technical KW - engagement KW - self-care KW - development KW - app KW - walking KW - effective N2 - International Registered Report Identifier (IRRID): RR2-10.1186/s12889-018-5026-4 UR - https://formative.jmir.org/2023/1/e40285 UR - http://dx.doi.org/10.2196/40285 UR - http://www.ncbi.nlm.nih.gov/pubmed/36917156 ID - info:doi/10.2196/40285 ER - TY - JOUR AU - Coelho, Flávio AU - Câmara, Portela Daniel Cardoso AU - Araújo, Correa Eduardo AU - Bianchi, Monteiro Lucas AU - Ogasawara, Ivan AU - Dalal, Jyoti AU - James, Ananthu AU - Abbate, L. Jessica AU - Merzouki, Aziza AU - dos Reis, Cristina Izabel AU - Nwosu, David Kene AU - Keiser, Olivia PY - 2023/3/6 TI - A Platform for Data-Centric, Continuous Epidemiological Analyses (EpiGraphHub): Descriptive Analysis JO - J Med Internet Res SP - e40554 VL - 25 KW - epidemiology KW - data analysis KW - disease surveillance KW - data science KW - public health KW - durability KW - accessibility KW - data set KW - public KW - platform KW - data KW - application KW - decision KW - decision-making N2 - 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. UR - https://www.jmir.org/2023/1/e40554 UR - http://dx.doi.org/10.2196/40554 UR - http://www.ncbi.nlm.nih.gov/pubmed/36877539 ID - info:doi/10.2196/40554 ER - TY - JOUR AU - Mallakin, Maryam AU - Dery, Christina AU - Vaillancourt, Samuel AU - Gupta, Sahil AU - Sellen, Katherine PY - 2023/3/3 TI - Web-Based Co-design in Health Care: Considerations for Renewed Participation JO - Interact J Med Res SP - e36765 VL - 12 KW - web-based design research KW - co-design KW - web-based co-design KW - virtual platform KW - virtual learning platforms KW - internet research ethics KW - collaboration KW - health communication KW - sensemaking KW - health design KW - tangible tools and games UR - https://www.i-jmr.org/2023/1/e36765 UR - http://dx.doi.org/10.2196/36765 UR - http://www.ncbi.nlm.nih.gov/pubmed/36595738 ID - info:doi/10.2196/36765 ER - TY - JOUR AU - Smith, Nathan AU - Peters, Dorian AU - Jay, Caroline AU - Sandal, M. Gro AU - Barrett, C. Emma AU - Wuebker, Robert PY - 2023/2/14 TI - Off-World Mental Health: Considerations for the Design of Well-being?Supportive Technologies for Deep Space Exploration JO - JMIR Form Res SP - e37784 VL - 7 KW - long duration space exploration KW - astronaut mental health KW - countermeasures KW - digital design KW - human factors KW - technology UR - https://formative.jmir.org/2023/1/e37784 UR - http://dx.doi.org/10.2196/37784 UR - http://www.ncbi.nlm.nih.gov/pubmed/36787162 ID - info:doi/10.2196/37784 ER - TY - JOUR AU - Koohsari, Javad Mohammad AU - McCormack, R. Gavin AU - Nakaya, Tomoki AU - Yasunaga, Akitomo AU - Fuller, Daniel AU - Nagai, Yukari AU - Oka, Koichiro PY - 2023/2/13 TI - The Metaverse, the Built Environment, and Public Health: Opportunities and Uncertainties JO - J Med Internet Res SP - e43549 VL - 25 KW - virtual reality KW - technology KW - neighborhood KW - urban design KW - health KW - epidemiology KW - artificial intelligence KW - sport sciences KW - augmented reality KW - health care UR - https://www.jmir.org/2023/1/e43549 UR - http://dx.doi.org/10.2196/43549 UR - http://www.ncbi.nlm.nih.gov/pubmed/36780208 ID - info:doi/10.2196/43549 ER - TY - JOUR AU - Dixon, G. William AU - van der Veer, N. Sabine AU - Ali, Mustafa Syed AU - Laidlaw, Lynn AU - Dobson, B. Richard J. AU - Sudlow, Cathie AU - Chico, Tim AU - MacArthur, L. Jacqueline A. AU - Doherty, Aiden PY - 2023/2/7 TI - Charting a Course for Smartphones and Wearables to Transform Population Health Research JO - J Med Internet Res SP - e42449 VL - 25 KW - mHealth KW - wearable KW - person-generated health data KW - population health research KW - devices KW - research KW - health KW - data KW - mobile health KW - clinical KW - digital UR - https://www.jmir.org/2023/1/e42449 UR - http://dx.doi.org/10.2196/42449 UR - http://www.ncbi.nlm.nih.gov/pubmed/36749628 ID - info:doi/10.2196/42449 ER - TY - JOUR AU - Rashi, Tsuriel AU - Yom-Tov, Elad PY - 2023/1/31 TI - Ethics of Medical Archival Internet Research Data JO - J Med Internet Res SP - e43754 VL - 25 KW - ethic KW - archival internet research data KW - three laws of robotics UR - https://www.jmir.org/2023/1/e43754 UR - http://dx.doi.org/10.2196/43754 UR - http://www.ncbi.nlm.nih.gov/pubmed/36719736 ID - info:doi/10.2196/43754 ER - TY - JOUR AU - Kodama, Satoshi PY - 2023/1/26 TI - Ethical Challenges of the COVID-19 Pandemic: A Japanese Perspective JO - J Med Internet Res SP - e44820 VL - 25 KW - pandemic KW - Japan KW - lockdown KW - disaster preparedness and management KW - digital technologies KW - intensive care unit KW - COVID-19 KW - ICU triage KW - ethics KW - emergency preparedness KW - digital health intervention UR - https://www.jmir.org/2023/1/e44820 UR - http://dx.doi.org/10.2196/44820 UR - http://www.ncbi.nlm.nih.gov/pubmed/36652597 ID - info:doi/10.2196/44820 ER - TY - JOUR AU - Perakslis, Eric AU - Quintana, Yuri PY - 2023/1/26 TI - Social Media is Addictive and Influences Behavior: Should it Be Regulated as a Digital Therapeutic? JO - J Med Internet Res SP - e43174 VL - 25 KW - social media KW - mental health KW - suicide KW - health policy KW - addictions KW - youth mental health KW - FDA KW - Food and Drug Administration KW - Canada KW - United Kingdom KW - United States KW - European Union KW - privacy KW - security KW - adverse event UR - https://www.jmir.org/2023/1/e43174 UR - http://dx.doi.org/10.2196/43174 UR - http://www.ncbi.nlm.nih.gov/pubmed/36701180 ID - info:doi/10.2196/43174 ER - TY - JOUR AU - Cresswell, Kathrin AU - Anderson, Stuart AU - Mozaffar, Hajar AU - Elizondo, Andrey AU - Geiger, Marcia AU - Williams, Robin PY - 2023/1/26 TI - Socio-Organizational Dimensions: The Key to Advancing the Shared Care Record Agenda in Health and Social Care JO - J Med Internet Res SP - e38310 VL - 25 KW - integrated care KW - sociotechnical KW - socio-organizational KW - shared care records KW - health care KW - healthcare KW - social care KW - digital health UR - https://www.jmir.org/2023/1/e38310 UR - http://dx.doi.org/10.2196/38310 UR - http://www.ncbi.nlm.nih.gov/pubmed/36701190 ID - info:doi/10.2196/38310 ER - TY - JOUR AU - Phiri, Peter AU - Cavalini, Heitor AU - Shetty, Suchith AU - Delanerolle, Gayathri PY - 2023/1/17 TI - Digital Maturity Consulting and Strategizing to Optimize Services: Overview JO - J Med Internet Res SP - e37545 VL - 25 KW - digital maturity model KW - health care system KW - electronic medical records KW - health record KW - information KW - UK KW - medical service KW - care provider KW - integration KW - interoperability KW - digital health KW - digital record KW - workflow UR - https://www.jmir.org/2023/1/e37545 UR - http://dx.doi.org/10.2196/37545 UR - http://www.ncbi.nlm.nih.gov/pubmed/36649060 ID - info:doi/10.2196/37545 ER - TY - JOUR AU - Patel, Smit AU - Goldsack, C. Jennifer AU - Cordovano, Grace AU - Downing, Andrea AU - Fields, K. Karen AU - Geoghegan, Cindy AU - Grewal, Upinder AU - Nieva, Jorge AU - Patel, Nikunj AU - Rollison, E. Dana AU - Sah, Archana AU - Said, Maya AU - Van De Keere, Isabel AU - Way, Amanda AU - Wolff-Hughes, L. Dana AU - Wood, A. William AU - Robinson, J. Edmondo PY - 2023/1/4 TI - Advancing Digital Health Innovation in Oncology: Priorities for High-Value Digital Transformation in Cancer Care JO - J Med Internet Res SP - e43404 VL - 25 KW - digital health KW - innovation KW - oncology KW - cancer care KW - cancer KW - patient journey KW - digital transformation KW - digital divide KW - health care delivery KW - service delivery KW - equity KW - patient-reported outcome KW - PROM KW - biomarker KW - digital innovation UR - https://www.jmir.org/2023/1/e43404 UR - http://dx.doi.org/10.2196/43404 UR - http://www.ncbi.nlm.nih.gov/pubmed/36598811 ID - info:doi/10.2196/43404 ER - TY - JOUR AU - Tamang, Suzanne AU - Humbert-Droz, Marie AU - Gianfrancesco, Milena AU - Izadi, Zara AU - Schmajuk, Gabriela AU - Yazdany, Jinoos PY - 2023/1/3 TI - Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement JO - JMIR Med Inform SP - e37805 VL - 11 KW - clinical natural language processing KW - electronic health records KW - population health science KW - clinical decision support KW - information extraction UR - https://medinform.jmir.org/2023/1/e37805 UR - http://dx.doi.org/10.2196/37805 UR - http://www.ncbi.nlm.nih.gov/pubmed/36595345 ID - info:doi/10.2196/37805 ER - TY - JOUR AU - de Vere Hunt, Isabella AU - Linos, Eleni PY - 2022/12/14 TI - Social Media for Public Health: Framework for Social Media?Based Public Health Campaigns JO - J Med Internet Res SP - e42179 VL - 24 IS - 12 KW - social media KW - digital heath KW - health communication KW - campaign KW - public health KW - framework KW - health promotion KW - public awareness KW - misinformation KW - tailored message KW - tailored messaging KW - information sharing KW - information exchange KW - advertise KW - advertising UR - https://www.jmir.org/2022/12/e42179 UR - http://dx.doi.org/10.2196/42179 UR - http://www.ncbi.nlm.nih.gov/pubmed/36515995 ID - info:doi/10.2196/42179 ER - TY - JOUR AU - Halkides, Heather AU - James, G. Tyler AU - McKee, M. Michael AU - Meade, A. Michelle AU - Moran, Christa AU - Park, Sophia PY - 2022/12/2 TI - Spotlighting Disability in a Major Electronic Health Record: Michigan Medicine?s Disability and Accommodations Tab JO - JMIR Form Res SP - e38003 VL - 6 IS - 12 KW - patients with disabilities KW - disability accommodations KW - electronic health records KW - patient-centered care KW - Affordable Care Act KW - Americans with Disabilities Act KW - disability KW - disabilities KW - affordable care KW - EHR KW - accommodation KW - minority KW - equity KW - accessibility KW - accessible KW - inclusive KW - inclusivity KW - health care KW - health service KW - environment KW - accommodate KW - reporting KW - data collection KW - barrier UR - https://formative.jmir.org/2022/12/e38003 UR - http://dx.doi.org/10.2196/38003 UR - http://www.ncbi.nlm.nih.gov/pubmed/36459406 ID - info:doi/10.2196/38003 ER - TY - JOUR AU - Kamalakannan, Sureshkumar AU - Karunakaran, Vijay AU - Kaliappan, Balaji Ashwin AU - Nagarajan, Ramakumar PY - 2022/11/24 TI - Systematic Development of the ReWin Application: A Digital Therapeutic Rehabilitation Innovation for People With Stroke-related Disabilities in India JO - JMIR Rehabil Assist Technol SP - e40374 VL - 9 IS - 4 KW - stroke KW - telerehabilitation KW - neurological rehabilitation KW - disability KW - India KW - rehabilitation KW - recovery KW - stroke care KW - patient care KW - digital technology KW - feasibility KW - acceptability KW - digital therapy UR - https://rehab.jmir.org/2022/4/e40374 UR - http://dx.doi.org/10.2196/40374 UR - http://www.ncbi.nlm.nih.gov/pubmed/36422867 ID - info:doi/10.2196/40374 ER - TY - JOUR AU - Overmars, Malin L. AU - Niemantsverdriet, A. Michael S. AU - Groenhof, J. T. Katrien AU - De Groot, H. Mark C. AU - Hulsbergen-Veelken, R. Cornelia A. AU - Van Solinge, W. Wouter AU - Musson, A. Ruben E. AU - Ten Berg, J. Maarten AU - Hoefer, E. Imo AU - Haitjema, Saskia PY - 2022/11/18 TI - A Wolf in Sheep?s Clothing: Reuse of Routinely Obtained Laboratory Data in Research JO - J Med Internet Res SP - e40516 VL - 24 IS - 11 KW - laboratory data KW - electronic health records KW - preprocessing KW - applied data science KW - laboratory KW - data KW - clinical KW - decision support KW - decision KW - research KW - analysis KW - patient KW - value KW - clinical care UR - https://www.jmir.org/2022/11/e40516 UR - http://dx.doi.org/10.2196/40516 UR - http://www.ncbi.nlm.nih.gov/pubmed/36399373 ID - info:doi/10.2196/40516 ER - TY - JOUR AU - Blasiak, Agata AU - Sapanel, Yoann AU - Leitman, Dana AU - Ng, Ying Wei AU - De Nicola, Raffaele AU - Lee, Vien V. AU - Todorov, Atanas AU - Ho, Dean PY - 2022/11/16 TI - Omnichannel Communication to Boost Patient Engagement and Behavioral Change With Digital Health Interventions JO - J Med Internet Res SP - e41463 VL - 24 IS - 11 KW - digital health intervention KW - omnichannel engagement KW - behavioral change KW - communication channels KW - personalized engagement KW - health care KW - patient care KW - health care outcome KW - patient engagement KW - digital twin KW - DHI KW - digital health KW - eHealth KW - framework KW - development UR - https://www.jmir.org/2022/11/e41463 UR - http://dx.doi.org/10.2196/41463 UR - http://www.ncbi.nlm.nih.gov/pubmed/36383427 ID - info:doi/10.2196/41463 ER - TY - JOUR AU - Fischer, Aurelie AU - Elbeji, Abir AU - Aguayo, Gloria AU - Fagherazzi, Guy PY - 2022/11/15 TI - Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research JO - Interact J Med Res SP - e40655 VL - 11 IS - 2 KW - vocal biomarker KW - COVID-19 symptoms KW - digital health KW - remote monitoring KW - artificial intelligence KW - voice KW - COVID-19 KW - Long COVID KW - digital health solution KW - voice-based technology KW - health technology KW - health monitoring KW - digital health monitoring KW - health care application KW - remote patient monitoring UR - https://www.i-jmr.org/2022/2/e40655 UR - http://dx.doi.org/10.2196/40655 UR - http://www.ncbi.nlm.nih.gov/pubmed/36378504 ID - info:doi/10.2196/40655 ER - TY - JOUR AU - Faruki, A. Adeel AU - Zane, D. Richard AU - Wiler, L. Jennifer PY - 2022/11/9 TI - The Role of Academic Health Systems in Leading the ?Third Wave? of Digital Health Innovation JO - JMIR Med Educ SP - e32679 VL - 8 IS - 4 KW - innovation KW - academic hospitals KW - academic health systems KW - health technology KW - entrepreneur KW - disruption KW - digital health KW - research programs KW - cost KW - investment KW - intrapreneur UR - https://mededu.jmir.org/2022/4/e32679 UR - http://dx.doi.org/10.2196/32679 UR - http://www.ncbi.nlm.nih.gov/pubmed/36350700 ID - info:doi/10.2196/32679 ER - TY - JOUR AU - Mandel, C. Joshua AU - Pollak, P. J. AU - Mandl, D. Kenneth PY - 2022/11/4 TI - The Patient Role in a Federal National-Scale Health Information Exchange JO - J Med Internet Res SP - e41750 VL - 24 IS - 11 KW - health information exchange KW - patient control KW - Health Insurance Portability and Accountability Act KW - HIPAA KW - patient record KW - information exchange KW - information sharing KW - health record KW - privacy KW - security KW - public health KW - health policy KW - health information KW - federal trusted exchange KW - insurance company KW - patient data UR - https://www.jmir.org/2022/11/e41750 UR - http://dx.doi.org/10.2196/41750 UR - http://www.ncbi.nlm.nih.gov/pubmed/36331535 ID - info:doi/10.2196/41750 ER - TY - JOUR AU - Drummond, David AU - Coulet, Adrien PY - 2022/10/31 TI - Technical, Ethical, Legal, and Societal Challenges With Digital Twin Systems for the Management of Chronic Diseases in Children and Young People JO - J Med Internet Res SP - e39698 VL - 24 IS - 10 KW - artificial intelligence KW - pediatrics KW - medical cyber-physical systems KW - children KW - digital twin KW - child KW - personalized KW - cyber-physical KW - digital health KW - digital medicine KW - eHealth KW - ethics KW - legal KW - law KW - young people KW - youth KW - ethical KW - sensor KW - monitor KW - privacy KW - data collection KW - paediatric KW - pediatrician KW - paediatrician KW - chronic disease KW - medical system UR - https://www.jmir.org/2022/10/e39698 UR - http://dx.doi.org/10.2196/39698 UR - http://www.ncbi.nlm.nih.gov/pubmed/36315239 ID - info:doi/10.2196/39698 ER - TY - JOUR AU - Benrimoh, David AU - Chheda, D. Forum AU - Margolese, C. Howard PY - 2022/10/28 TI - The Best Predictor of the Future?the Metaverse, Mental Health, and Lessons Learned From Current Technologies JO - JMIR Ment Health SP - e40410 VL - 9 IS - 10 KW - metaverse KW - mental health KW - social media KW - virtual reality KW - VR KW - digital experience KW - human interaction KW - mental health risk KW - teleworking KW - assisted therapy KW - teletherapy KW - benefits KW - safety KW - mental health problems KW - data security KW - privacy KW - protection KW - user safety KW - safety regulations KW - mobile phone UR - https://mental.jmir.org/2022/10/e40410 UR - http://dx.doi.org/10.2196/40410 UR - http://www.ncbi.nlm.nih.gov/pubmed/36306155 ID - info:doi/10.2196/40410 ER - TY - JOUR AU - Hendricks-Sturrup, Rachele AU - Nafie, Maryam AU - Lu, Christine PY - 2022/10/26 TI - Practical Considerations and Recommendations for ?a Revised Hippocratic Oath for the Era of Digital Health? JO - J Med Internet Res SP - e43383 VL - 24 IS - 10 KW - digital health KW - Hippocratic Oath KW - eHealth KW - ethics KW - digital divide UR - https://www.jmir.org/2022/10/e43383 UR - http://dx.doi.org/10.2196/43383 UR - http://www.ncbi.nlm.nih.gov/pubmed/36287597 ID - info:doi/10.2196/43383 ER - TY - JOUR AU - Painter, Annabelle AU - Hayhoe, Benedict AU - Riboli-Sasco, Eva AU - El-Osta, Austen PY - 2022/10/26 TI - Online Symptom Checkers: Recommendations for a Vignette-Based Clinical Evaluation Standard JO - J Med Internet Res SP - e37408 VL - 24 IS - 10 KW - online symptom checkers KW - clinical evaluation KW - validation KW - assessment KW - standards KW - third-party assessment KW - quality assurance UR - https://www.jmir.org/2022/10/e37408 UR - http://dx.doi.org/10.2196/37408 UR - http://www.ncbi.nlm.nih.gov/pubmed/36287594 ID - info:doi/10.2196/37408 ER - TY - JOUR AU - Goodday, Sarah AU - Karlin, Daniel AU - Suver, Christine AU - Friend, Stephen PY - 2022/10/20 TI - The Post-Roe Political Landscape Demands a Morality of Caution for Women?s Health JO - J Med Internet Res SP - e41417 VL - 24 IS - 10 KW - women's health KW - reproductive health KW - wearable KW - abortion rights, confidentiality and privacy KW - Roe v. Wade KW - health policy KW - health research KW - reproductive information KW - privacy KW - women's rights KW - health rights KW - abortion KW - eHealth KW - digital health KW - mHealth KW - safety KW - ethic UR - https://www.jmir.org/2022/10/e41417 UR - http://dx.doi.org/10.2196/41417 UR - http://www.ncbi.nlm.nih.gov/pubmed/36264611 ID - info:doi/10.2196/41417 ER - TY - JOUR AU - Smits, Merlijn AU - Ludden, S. Geke D. AU - Verbeek, Peter-Paul AU - van Goor, Harry PY - 2022/10/20 TI - How Digital Therapeutics Are Urging the Need for a Paradigm Shift: From Evidence-Based Health Care to Evidence-Based Well-being JO - Interact J Med Res SP - e39323 VL - 11 IS - 2 KW - digital therapeutics KW - digital health KW - paradigm shift KW - paradigm KW - health policy KW - health care KW - evidence KW - evidence-based KW - decision-making KW - challenges KW - implementation KW - well-being KW - digital KW - technology UR - https://www.i-jmr.org/2022/2/e39323 UR - http://dx.doi.org/10.2196/39323 UR - http://www.ncbi.nlm.nih.gov/pubmed/36264624 ID - info:doi/10.2196/39323 ER - TY - JOUR AU - Molnár-Gábor, Fruzsina AU - Beauvais, S. Michael J. AU - Bernier, Alexander AU - Jimenez, Nicolas Maria Pilar AU - Recuero, Mikel AU - Knoppers, Maria Bartha PY - 2022/10/19 TI - Bridging the European Data Sharing Divide in Genomic Science JO - J Med Internet Res SP - e37236 VL - 24 IS - 10 KW - international data transfer KW - scientific research KW - genomics KW - safe data spaces KW - data protection UR - https://www.jmir.org/2022/10/e37236 UR - http://dx.doi.org/10.2196/37236 UR - http://www.ncbi.nlm.nih.gov/pubmed/36260387 ID - info:doi/10.2196/37236 ER - TY - JOUR AU - Scheenstra, Bart AU - Bruninx, Anke AU - van Daalen, Florian AU - Stahl, Nina AU - Latuapon, Elizabeth AU - Imkamp, Maike AU - Ippel, Lianne AU - Duijsings-Mahangi, Sulaika AU - Smits, Djura AU - Townend, David AU - Bermejo, Inigo AU - Dekker, Andre AU - Hochstenbach, Laura AU - Spreeuwenberg, Marieke AU - Maessen, Jos AU - van 't Hof, Arnoud AU - Kietselaer, Bas PY - 2022/10/17 TI - Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium JO - JMIR Cardio SP - e37437 VL - 6 IS - 2 KW - atherosclerotic cardiovascular disease KW - ASCVD KW - cardiovascular risk management KW - CVRM KW - eHealth KW - digital Health KW - personalized e-coach KW - big data KW - clinical prediction models KW - federated data infrastructure UR - https://cardio.jmir.org/2022/2/e37437 UR - http://dx.doi.org/10.2196/37437 UR - http://www.ncbi.nlm.nih.gov/pubmed/36251353 ID - info:doi/10.2196/37437 ER - TY - JOUR AU - van Velsen, Lex AU - Ludden, Geke AU - Grünloh, Christiane PY - 2022/10/5 TI - The Limitations of User-and Human-Centered Design in an eHealth Context and How to Move Beyond Them JO - J Med Internet Res SP - e37341 VL - 24 IS - 10 KW - user-centered design KW - human-centered design KW - eHealth, value-sensitive design KW - citizen science UR - https://www.jmir.org/2022/10/e37341 UR - http://dx.doi.org/10.2196/37341 UR - http://www.ncbi.nlm.nih.gov/pubmed/36197718 ID - info:doi/10.2196/37341 ER - TY - JOUR AU - Franchini, Filippo AU - Kusejko, Katharina AU - Marzolini, Catia AU - Tellenbach, Christoph AU - Rossi, Simona AU - Stampf, Susanne AU - Koller, Michael AU - Stoyanov, Jivko AU - Möller, Burkhard AU - Leichtle, Benedikt Alexander PY - 2022/9/29 TI - Collaborative Challenges of Multi-Cohort Projects in Pharmacogenetics?Why Time Is Essential for Meaningful Collaborations JO - JMIR Form Res SP - e36759 VL - 6 IS - 9 KW - personalized medicine KW - guidelines KW - ethical, legal, and social implications KW - study KW - ethics KW - multicentric UR - https://formative.jmir.org/2022/9/e36759 UR - http://dx.doi.org/10.2196/36759 UR - http://www.ncbi.nlm.nih.gov/pubmed/35976179 ID - info:doi/10.2196/36759 ER - TY - JOUR AU - Smutny, Zdenek AU - Vehovar, Vasja PY - 2022/9/28 TI - On the Current Connection and Relation Between Health Informatics and Social Informatics JO - J Med Internet Res SP - e40547 VL - 24 IS - 9 KW - biomedical informatics KW - conceptual view KW - clinical informatics KW - international perspective KW - medical informatics UR - https://www.jmir.org/2022/9/e40547 UR - http://dx.doi.org/10.2196/40547 UR - http://www.ncbi.nlm.nih.gov/pubmed/36169995 ID - info:doi/10.2196/40547 ER - TY - JOUR AU - Mulder, Tahar Skander AU - Omidvari, Amir-Houshang AU - Rueten-Budde, J. Anja AU - Huang, Pei-Hua AU - Kim, Ki-Hun AU - Bais, Babette AU - Rousian, Melek AU - Hai, Rihan AU - Akgun, Can AU - van Lennep, Roeters Jeanine AU - Willemsen, Sten AU - Rijnbeek, R. Peter AU - Tax, MJ David AU - Reinders, Marcel AU - Boersma, Eric AU - Rizopoulos, Dimitris AU - Visch, Valentijn AU - Steegers-Theunissen, Régine PY - 2022/9/14 TI - Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course JO - J Med Internet Res SP - e35675 VL - 24 IS - 9 KW - digital health KW - digital twin KW - machine learning KW - artifical intelligence KW - obstetrics KW - cardiovascular KW - disease KW - health UR - https://www.jmir.org/2022/9/e35675 UR - http://dx.doi.org/10.2196/35675 UR - http://www.ncbi.nlm.nih.gov/pubmed/36103220 ID - info:doi/10.2196/35675 ER - TY - JOUR AU - Meskó, Bertalan AU - Spiegel, Brennan PY - 2022/9/7 TI - A Revised Hippocratic Oath for the Era of Digital Health JO - J Med Internet Res SP - e39177 VL - 24 IS - 9 KW - hippocratic oath KW - digital health KW - eHealth KW - future KW - automation KW - ethics KW - viewpoint KW - medical perspective KW - physician perspective KW - ethical KW - digital divide KW - artificial intelligence KW - moral UR - https://www.jmir.org/2022/9/e39177 UR - http://dx.doi.org/10.2196/39177 UR - http://www.ncbi.nlm.nih.gov/pubmed/36069845 ID - info:doi/10.2196/39177 ER - TY - JOUR AU - Meskó, Bertalan AU - deBronkart, Dave PY - 2022/8/31 TI - Patient Design: The Importance of Including Patients in Designing Health Care JO - J Med Internet Res SP - e39178 VL - 24 IS - 8 KW - patient KW - patient design KW - user design KW - patient centric KW - patient focus KW - digital health KW - future KW - empowerment KW - involvement KW - participatory KW - engagement KW - participation KW - patient centred KW - patient centered UR - https://www.jmir.org/2022/8/e39178 UR - http://dx.doi.org/10.2196/39178 UR - http://www.ncbi.nlm.nih.gov/pubmed/36044250 ID - info:doi/10.2196/39178 ER - TY - JOUR AU - Rose, Christian AU - Díaz, Mark AU - Díaz, Tomás PY - 2022/8/17 TI - Addressing Medicine?s Dark Matter JO - Interact J Med Res SP - e37584 VL - 11 IS - 2 KW - big data KW - AI KW - artificial intelligence KW - equity KW - data collection KW - health care KW - prediction KW - model KW - predict KW - representative KW - unrepresented UR - https://www.i-jmr.org/2022/2/e37584 UR - http://dx.doi.org/10.2196/37584 UR - http://www.ncbi.nlm.nih.gov/pubmed/35976194 ID - info:doi/10.2196/37584 ER - TY - JOUR AU - Black, Bell Georgia AU - Bhuiya, Afsana AU - Friedemann Smith, Claire AU - Hirst, Yasemin AU - Nicholson, David Brian PY - 2022/8/1 TI - Harnessing the Electronic Health Care Record to Optimize Patient Safety in Primary Care: Framework for Evaluating e?Safety-Netting Tools JO - JMIR Med Inform SP - e35726 VL - 10 IS - 8 KW - primary care KW - patient safety KW - electronic health record KW - safety KW - optimize KW - framework KW - evaluation KW - tool KW - diagnostic KW - uncertainty KW - management KW - netting KW - software KW - criteria UR - https://medinform.jmir.org/2022/8/e35726 UR - http://dx.doi.org/10.2196/35726 UR - http://www.ncbi.nlm.nih.gov/pubmed/35916722 ID - info:doi/10.2196/35726 ER - TY - JOUR AU - Royan, Regina AU - Pendergrast, Rae Tricia AU - Del Rios, Marina AU - Rotolo, M. Shannon AU - Trueger, Seth N. AU - Bloomgarden, Eve AU - Behrens, Deanna AU - Jain, Shikha AU - Arora, M. Vineet PY - 2022/7/22 TI - Use of Twitter Amplifiers by Medical Professionals to Combat Misinformation During the COVID-19 Pandemic JO - J Med Internet Res SP - e38324 VL - 24 IS - 7 KW - social media KW - combating disinformation KW - misinformation KW - infodemic KW - amplifier KW - COVID-19 KW - advocacy KW - public health communication KW - disinformation KW - medical information KW - health professional amplifier KW - healthcare profession KW - health care profession KW - Twitter KW - public communication KW - health information KW - health promotion UR - https://www.jmir.org/2022/7/e38324 UR - http://dx.doi.org/10.2196/38324 UR - http://www.ncbi.nlm.nih.gov/pubmed/35839387 ID - info:doi/10.2196/38324 ER - TY - JOUR AU - Wagneur, Nicolas AU - Callier, Patrick AU - Zeitoun, Jean-David AU - Silber, Denise AU - Sabatier, Remi AU - Denis, Fabrice PY - 2022/7/5 TI - Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study JO - J Med Internet Res SP - e39590 VL - 24 IS - 7 KW - scoring KW - eHealth KW - clinical relevance KW - solution KW - digital solution KW - clinical validation KW - prescreening KW - eHealth app KW - medical digital solution KW - scoring tool KW - health app KW - information quality N2 - 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. UR - https://www.jmir.org/2022/7/e39590 UR - http://dx.doi.org/10.2196/39590 UR - http://www.ncbi.nlm.nih.gov/pubmed/35788102 ID - info:doi/10.2196/39590 ER - TY - JOUR AU - Konigorski, Stefan AU - Wernicke, Sarah AU - Slosarek, Tamara AU - Zenner, M. Alexander AU - Strelow, Nils AU - Ruether, F. Darius AU - Henschel, Florian AU - Manaswini, Manisha AU - Pottbäcker, Fabian AU - Edelman, A. Jonathan AU - Owoyele, Babajide AU - Danieletto, Matteo AU - Golden, Eddye AU - Zweig, Micol AU - Nadkarni, N. Girish AU - Böttinger, Erwin PY - 2022/7/5 TI - StudyU: A Platform for Designing and Conducting Innovative Digital N-of-1 Trials JO - J Med Internet Res SP - e35884 VL - 24 IS - 7 KW - digital interventions KW - N-of-1 trial KW - SCED KW - single-case experimental design KW - web application KW - mobile application KW - app KW - digital health UR - https://www.jmir.org/2022/7/e35884 UR - http://dx.doi.org/10.2196/35884 UR - http://www.ncbi.nlm.nih.gov/pubmed/35787512 ID - info:doi/10.2196/35884 ER - TY - JOUR AU - Wienert, Julian AU - Jahnel, Tina AU - Maaß, Laura PY - 2022/6/28 TI - What are Digital Public Health Interventions? First Steps Toward a Definition and an Intervention Classification Framework JO - J Med Internet Res SP - e31921 VL - 24 IS - 6 KW - digital health KW - digital Public Health KW - digital public health interventions KW - digital health technologies KW - mHealth KW - eHealth KW - participatory approach KW - framework KW - mobile phone UR - https://www.jmir.org/2022/6/e31921 UR - http://dx.doi.org/10.2196/31921 UR - http://www.ncbi.nlm.nih.gov/pubmed/35763320 ID - info:doi/10.2196/31921 ER - TY - JOUR AU - Nguyen, Hai AU - Meczner, Andras AU - Burslam-Dawe, Krista AU - Hayhoe, Benedict PY - 2022/6/24 TI - Triage Errors in Primary and Pre?Primary Care JO - J Med Internet Res SP - e37209 VL - 24 IS - 6 KW - triage errors KW - pre-primary care KW - digital symptom checker KW - primary care KW - viewpoint KW - triage KW - symptom checker KW - emergency care UR - https://www.jmir.org/2022/6/e37209 UR - http://dx.doi.org/10.2196/37209 UR - http://www.ncbi.nlm.nih.gov/pubmed/35749166 ID - info:doi/10.2196/37209 ER - TY - JOUR AU - Choudhury, Avishek PY - 2022/6/21 TI - 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 JO - JMIR Hum Factors SP - e35421 VL - 9 IS - 2 KW - health care KW - artificial intelligence KW - ecological validity KW - trust in AI KW - clinical workload KW - patient safety KW - AI accountability KW - reliability UR - https://humanfactors.jmir.org/2022/2/e35421 UR - http://dx.doi.org/10.2196/35421 UR - http://www.ncbi.nlm.nih.gov/pubmed/35727615 ID - info:doi/10.2196/35421 ER - TY - JOUR AU - Stokes-Parish, Jessica PY - 2022/6/17 TI - 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 JO - J Med Internet Res SP - e38269 VL - 24 IS - 6 KW - science communication KW - critical appraisal KW - social media KW - health literacy KW - digital literacy KW - misinformation KW - COVID-19 KW - online health KW - infodemic KW - infodemiology UR - https://www.jmir.org/2022/6/e38269 UR - http://dx.doi.org/10.2196/38269 UR - http://www.ncbi.nlm.nih.gov/pubmed/35649183 ID - info:doi/10.2196/38269 ER - TY - JOUR AU - Goldberg, M. Elizabeth AU - Rosen, K. Rochelle AU - Dizon, S. Don AU - Langdon, J. Kirsten AU - Davoodi, M. Natalie AU - Wray, B. Tyler AU - Nugent, R. Nicole AU - Dunsiger, I. Shira AU - Ranney, L. Megan PY - 2022/6/13 TI - Using Social Media for Clinical Research: Recommendations and Examples From the Brown-Lifespan Center for Digital Health JO - J Med Internet Res SP - e35804 VL - 24 IS - 6 KW - social media KW - Twitter KW - Facebook KW - clinical research KW - privacy KW - institutional review board KW - regulations KW - regulation KW - guideline KW - big data UR - https://www.jmir.org/2022/6/e35804 UR - http://dx.doi.org/10.2196/35804 UR - http://www.ncbi.nlm.nih.gov/pubmed/35700012 ID - info:doi/10.2196/35804 ER - TY - JOUR AU - Sauvayre, Romy PY - 2022/5/27 TI - Types of Errors Hiding in Google Scholar Data JO - J Med Internet Res SP - e28354 VL - 24 IS - 5 KW - reference accuracy KW - database reliability KW - false positives KW - academic publication KW - research evaluation KW - scientometrics KW - citation analysis UR - https://www.jmir.org/2022/5/e28354 UR - http://dx.doi.org/10.2196/28354 UR - http://www.ncbi.nlm.nih.gov/pubmed/35622395 ID - info:doi/10.2196/28354 ER - TY - JOUR AU - Gamhewage, Gaya AU - Mahmoud, Essam Mohamed AU - Tokar, Anna AU - Attias, Melissa AU - Mylonas, Christos AU - Canna, Sara AU - Utunen, Heini PY - 2022/5/26 TI - Digital Transformation of Face-To-Face Focus Group Methodology: Engaging a Globally Dispersed Audience to Manage Institutional Change at the World Health Organization JO - J Med Internet Res SP - e28911 VL - 24 IS - 5 KW - qualitative research KW - digitalization KW - WHO KW - World Health Organization KW - FGDs KW - focus group discussions UR - https://www.jmir.org/2022/5/e28911 UR - http://dx.doi.org/10.2196/28911 UR - http://www.ncbi.nlm.nih.gov/pubmed/35617007 ID - info:doi/10.2196/28911 ER - TY - JOUR AU - Clay, Ieuan AU - Cormack, Francesca AU - Fedor, Szymon AU - Foschini, Luca AU - Gentile, Giovanni AU - van Hoof, Chris AU - Kumar, Priya AU - Lipsmeier, Florian AU - Sano, Akane AU - Smarr, Benjamin AU - Vandendriessche, Benjamin AU - De Luca, Valeria PY - 2022/5/26 TI - Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint JO - J Med Internet Res SP - e35951 VL - 24 IS - 5 KW - digital measures KW - quality of life KW - machine learning KW - digital health KW - digital product KW - digital wellness KW - digital therapeutics KW - digital therapy KW - multimodal technology KW - drug development KW - care delivery KW - data integration UR - https://www.jmir.org/2022/5/e35951 UR - http://dx.doi.org/10.2196/35951 UR - http://www.ncbi.nlm.nih.gov/pubmed/35617003 ID - info:doi/10.2196/35951 ER - TY - JOUR AU - Olusanya, A. Olufunto AU - White, Brianna AU - Melton, A. Chad AU - Shaban-Nejad, Arash PY - 2022/5/17 TI - Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries JO - JMIR Form Res SP - e34363 VL - 6 IS - 5 KW - COVID-19 KW - SARS-CoV-2 KW - Africa KW - preparedness KW - response KW - recovery KW - digital health KW - artificial intelligence KW - vaccine equity UR - https://formative.jmir.org/2022/5/e34363 UR - http://dx.doi.org/10.2196/34363 UR - http://www.ncbi.nlm.nih.gov/pubmed/35512271 ID - info:doi/10.2196/34363 ER - TY - JOUR AU - Tang, Chunlei AU - Ma, Jing AU - Zhou, Li AU - Plasek, Joseph AU - He, Yuqing AU - Xiong, Yun AU - Zhu, Yangyong AU - Huang, Yajun AU - Bates, David PY - 2022/5/11 TI - Improving Research Patient Data Repositories From a Health Data Industry Viewpoint JO - J Med Internet Res SP - e32845 VL - 24 IS - 5 KW - data science KW - big data KW - data mining KW - data warehousing KW - information storage and retrieval UR - https://www.jmir.org/2022/5/e32845 UR - http://dx.doi.org/10.2196/32845 UR - http://www.ncbi.nlm.nih.gov/pubmed/35544299 ID - info:doi/10.2196/32845 ER - TY - JOUR AU - Krishnamurti, Tamar AU - Birru Talabi, Mehret AU - Callegari, S. Lisa AU - Kazmerski, M. Traci AU - Borrero, Sonya PY - 2022/4/28 TI - A Framework for Femtech: Guiding Principles for Developing Digital Reproductive Health Tools in the United States JO - J Med Internet Res SP - e36338 VL - 24 IS - 4 KW - United States KW - North America KW - femtech KW - mHealth KW - health equity KW - pregnancy KW - women's health KW - preterm birth KW - contraception KW - family planning KW - reproductive care KW - sterilization KW - cystic fibrosis KW - rheumatic disease KW - eHealth KW - mobile health KW - reproductive health KW - digital health KW - health technology KW - health outcomes UR - https://www.jmir.org/2022/4/e36338 UR - http://dx.doi.org/10.2196/36338 UR - http://www.ncbi.nlm.nih.gov/pubmed/35482371 ID - info:doi/10.2196/36338 ER - TY - JOUR AU - MacPherson, Megan AU - Merry, Kohle AU - Locke, Sean AU - Jung, Mary PY - 2022/4/26 TI - Developing Mobile Health Interventions With Implementation in Mind: Application of the Multiphase Optimization Strategy (MOST) Preparation Phase to Diabetes Prevention Programming JO - JMIR Form Res SP - e36143 VL - 6 IS - 4 KW - text messaging KW - prediabetic state KW - telemedicine KW - telecommunications KW - exercise KW - diet KW - preventive medicine KW - mHealth KW - intervention development KW - behavior change KW - mobile phone UR - https://formative.jmir.org/2022/4/e36143 UR - http://dx.doi.org/10.2196/36143 UR - http://www.ncbi.nlm.nih.gov/pubmed/35471473 ID - info:doi/10.2196/36143 ER - TY - JOUR AU - Kogetsu, Atsushi AU - Kato, Kazuto PY - 2022/4/20 TI - Framework and Practical Guidance for the Ethical Use of Electronic Methods for Communication With Participants in Medical Research JO - J Med Internet Res SP - e33167 VL - 24 IS - 4 KW - online communication KW - electronic methods KW - online recruitment KW - electronic informed consent KW - e-IC KW - digital consent KW - online consent KW - data communication KW - digital health UR - https://www.jmir.org/2022/4/e33167 UR - http://dx.doi.org/10.2196/33167 UR - http://www.ncbi.nlm.nih.gov/pubmed/35442208 ID - info:doi/10.2196/33167 ER - TY - JOUR AU - Roy, Joy AU - Levy, R. Deborah AU - Senathirajah, Yalini PY - 2022/4/13 TI - Defining Telehealth for Research, Implementation, and Equity JO - J Med Internet Res SP - e35037 VL - 24 IS - 4 KW - telehealth KW - telemedicine KW - standards KW - health equity KW - public health KW - digital health KW - delivery of health care UR - https://www.jmir.org/2022/4/e35037 UR - http://dx.doi.org/10.2196/35037 UR - http://www.ncbi.nlm.nih.gov/pubmed/35416778 ID - info:doi/10.2196/35037 ER - TY - JOUR AU - Basch, H. Corey AU - Basch, E. Charles AU - Hillyer, C. Grace AU - Meleo-Erwin, C. Zoe PY - 2022/4/12 TI - Social Media, Public Health, and Community Mitigation of COVID-19: Challenges, Risks, and Benefits JO - J Med Internet Res SP - e36804 VL - 24 IS - 4 KW - COVID-19 pandemic KW - social media KW - misinformation KW - disinformation KW - COVID-19 KW - pandemic KW - infodemiology KW - health literacy KW - health information KW - public health KW - COVID risk KW - information seeking UR - https://www.jmir.org/2022/4/e36804 UR - http://dx.doi.org/10.2196/36804 UR - http://www.ncbi.nlm.nih.gov/pubmed/35380539 ID - info:doi/10.2196/36804 ER - TY - JOUR AU - Hussain-Shamsy, Neesha AU - McMillan, Ian AU - Cook, Sheridan AU - Furfaro-Argier, Alyssa AU - Sadler, Andrea AU - Delos-Reyes, Faith AU - Wasserman, Lori AU - Bhatia, Sacha AU - Martin, Danielle AU - Seto, Emily AU - Vigod, N. Simone AU - Zaheer, Juveria AU - Agarwal, Payal AU - Mukerji, Geetha PY - 2022/4/7 TI - Operationalizing and Evaluating Synchronous Virtual Group Health Interventions: Wide-Scale Implementation at a Tertiary Care Academic Hospital JO - J Med Internet Res SP - e29841 VL - 24 IS - 4 KW - virtual care KW - group therapy KW - patient education KW - videoconferencing KW - sustainability KW - innovation KW - health systems KW - health promotion KW - patient portal KW - electronic medical records KW - health service delivery KW - video call UR - https://www.jmir.org/2022/4/e29841 UR - http://dx.doi.org/10.2196/29841 UR - http://www.ncbi.nlm.nih.gov/pubmed/35389350 ID - info:doi/10.2196/29841 ER - TY - JOUR AU - Landerdahl Stridsberg, Sara AU - Richardson, X. Matt AU - Redekop, Ken AU - Ehn, Maria AU - Wamala Andersson, Sarah PY - 2022/3/23 TI - Gray Literature in Evaluating Effectiveness in Digital Health and Health and Welfare Technology: A Source Worth Considering JO - J Med Internet Res SP - e29307 VL - 24 IS - 3 KW - health and welfare technology KW - digital health KW - gray literature KW - information retrieval N2 - 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. UR - https://www.jmir.org/2022/3/e29307 UR - http://dx.doi.org/10.2196/29307 UR - http://www.ncbi.nlm.nih.gov/pubmed/35319479 ID - info:doi/10.2196/29307 ER - TY - JOUR AU - Zirikly, Ayah AU - Desmet, Bart AU - Newman-Griffis, Denis AU - Marfeo, E. Elizabeth AU - McDonough, Christine AU - Goldman, Howard AU - Chan, Leighton PY - 2022/3/18 TI - Information Extraction Framework for Disability Determination Using a Mental Functioning Use-Case JO - JMIR Med Inform SP - e32245 VL - 10 IS - 3 KW - natural language processing KW - text mining KW - bioinformatics KW - health informatics KW - machine learning KW - disability KW - mental health KW - functioning KW - NLP KW - electronic health record KW - framework KW - EHR KW - automation KW - eHealth KW - decision support KW - functional status KW - whole-person function UR - https://medinform.jmir.org/2022/3/e32245 UR - http://dx.doi.org/10.2196/32245 UR - http://www.ncbi.nlm.nih.gov/pubmed/35302510 ID - info:doi/10.2196/32245 ER - TY - JOUR AU - Rundle, Graham Andrew AU - Bader, Miller Michael David AU - Mooney, John Stephen PY - 2022/3/17 TI - The Disclosure of Personally Identifiable Information in Studies of Neighborhood Contexts and Patient Outcomes JO - J Med Internet Res SP - e30619 VL - 24 IS - 3 KW - geocode KW - patient privacy KW - ethical conduct of research KW - disclosure KW - privacy KW - security KW - identification KW - health information KW - strategy KW - outcome KW - neighborhood UR - https://www.jmir.org/2022/3/e30619 UR - http://dx.doi.org/10.2196/30619 UR - http://www.ncbi.nlm.nih.gov/pubmed/35103610 ID - info:doi/10.2196/30619 ER - TY - JOUR AU - Schlieter, Hannes AU - Marsch, A. Lisa AU - Whitehouse, Diane AU - Otto, Lena AU - Londral, Rita Ana AU - Teepe, Wilhelm Gisbert AU - Benedict, Martin AU - Ollier, Joseph AU - Ulmer, Tom AU - Gasser, Nathalie AU - Ultsch, Sabine AU - Wollschlaeger, Bastian AU - Kowatsch, Tobias PY - 2022/3/11 TI - Scale-up of Digital Innovations in Health Care: Expert Commentary on Enablers and Barriers JO - J Med Internet Res SP - e24582 VL - 24 IS - 3 KW - digital health KW - health care delivery KW - health interventions KW - digital health services KW - enablers KW - barriers UR - https://www.jmir.org/2022/3/e24582 UR - http://dx.doi.org/10.2196/24582 UR - http://www.ncbi.nlm.nih.gov/pubmed/35275065 ID - info:doi/10.2196/24582 ER - TY - JOUR AU - Gao, Chuang AU - McGilchrist, Mark AU - Mumtaz, Shahzad AU - Hall, Christopher AU - Anderson, Ann Lesley AU - Zurowski, John AU - Gordon, Sharon AU - Lumsden, Joanne AU - Munro, Vicky AU - Wozniak, Artur AU - Sibley, Michael AU - Banks, Christopher AU - Duncan, Chris AU - Linksted, Pamela AU - Hume, Alastair AU - Stables, L. Catherine AU - Mayor, Charlie AU - Caldwell, Jacqueline AU - Wilde, Katie AU - Cole, Christian AU - Jefferson, Emily PY - 2022/3/9 TI - A National Network of Safe Havens: Scottish Perspective JO - J Med Internet Res SP - e31684 VL - 24 IS - 3 KW - electronic health records KW - Safe Haven KW - data governance UR - https://www.jmir.org/2022/3/e31684 UR - http://dx.doi.org/10.2196/31684 UR - http://www.ncbi.nlm.nih.gov/pubmed/35262495 ID - info:doi/10.2196/31684 ER - TY - JOUR AU - Tajirian, Tania AU - Jankowicz, Damian AU - Lo, Brian AU - Sequeira, Lydia AU - Strudwick, Gillian AU - Almilaji, Khaled AU - Stergiopoulos, Vicky PY - 2022/3/8 TI - Tackling the Burden of Electronic Health Record Use Among Physicians in a Mental Health Setting: Physician Engagement Strategy JO - J Med Internet Res SP - e32800 VL - 24 IS - 3 KW - burnout KW - organizational strategy KW - electronic health record use KW - clinical informatics KW - medical informatics UR - https://www.jmir.org/2022/3/e32800 UR - http://dx.doi.org/10.2196/32800 UR - http://www.ncbi.nlm.nih.gov/pubmed/35258473 ID - info:doi/10.2196/32800 ER - TY - JOUR AU - Liaw, R. Winston AU - Westfall, M. John AU - Williamson, S. Tyler AU - Jabbarpour, Yalda AU - Bazemore, Andrew PY - 2022/3/8 TI - Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health JO - JMIR Med Inform SP - e27691 VL - 10 IS - 3 KW - artificial intelligence KW - primary care UR - https://medinform.jmir.org/2022/3/e27691 UR - http://dx.doi.org/10.2196/27691 UR - http://www.ncbi.nlm.nih.gov/pubmed/35258464 ID - info:doi/10.2196/27691 ER - TY - JOUR AU - Yang, Hsuan-Chia AU - Rahmanti, Ristya Annisa AU - Huang, Chih-Wei AU - Li, Jack Yu-Chuan PY - 2022/3/4 TI - How Can Research on Artificial Empathy Be Enhanced by Applying Deepfakes? JO - J Med Internet Res SP - e29506 VL - 24 IS - 3 KW - artificial empathy KW - deepfakes KW - doctor-patient relationship KW - face emotion recognition KW - artificial intelligence KW - facial recognition KW - facial emotion recognition KW - medical images KW - patient KW - physician KW - therapy UR - https://www.jmir.org/2022/3/e29506 UR - http://dx.doi.org/10.2196/29506 UR - http://www.ncbi.nlm.nih.gov/pubmed/35254278 ID - info:doi/10.2196/29506 ER - TY - JOUR AU - Willis, Erin AU - Delbaere, Marjorie PY - 2022/3/1 TI - Patient Influencers: The Next Frontier in Direct-to-Consumer Pharmaceutical Marketing JO - J Med Internet Res SP - e29422 VL - 24 IS - 3 KW - social media KW - influencers KW - health KW - pharmaceutical marketing KW - direct-to-consumer advertising KW - relationship marketing KW - marketing KW - advertising KW - pharmaceuticals KW - ethics UR - https://www.jmir.org/2022/3/e29422 UR - http://dx.doi.org/10.2196/29422 UR - http://www.ncbi.nlm.nih.gov/pubmed/35230241 ID - info:doi/10.2196/29422 ER - TY - JOUR AU - van Kessel, Robin AU - Hrzic, Rok AU - O'Nuallain, Ella AU - Weir, Elizabeth AU - Wong, Han Brian Li AU - Anderson, Michael AU - Baron-Cohen, Simon AU - Mossialos, Elias PY - 2022/2/22 TI - Digital Health Paradox: International Policy Perspectives to Address Increased Health Inequalities for People Living With Disabilities JO - J Med Internet Res SP - e33819 VL - 24 IS - 2 KW - digital health KW - eHealth KW - health policy KW - health systems KW - disability KW - inclusion KW - digital technologies KW - people living with disabilities UR - https://www.jmir.org/2022/2/e33819 UR - http://dx.doi.org/10.2196/33819 UR - http://www.ncbi.nlm.nih.gov/pubmed/35191848 ID - info:doi/10.2196/33819 ER - TY - JOUR AU - van Elten, J. Hilco AU - Sülz, Sandra AU - van Raaij, M. Erik AU - Wehrens, Rik PY - 2022/2/22 TI - Big Data Health Care Innovations: Performance Dashboarding as a Process of Collective Sensemaking JO - J Med Internet Res SP - e30201 VL - 24 IS - 2 KW - dashboarding KW - big data KW - balanced scorecard KW - performance measurement KW - key performance indicators KW - digital health KW - dashboards KW - knowledge translation KW - health information KW - stakeholders KW - health care N2 - International Registered Report Identifier (IRRID): RR2-10.2196/16779 UR - https://www.jmir.org/2022/2/e30201 UR - http://dx.doi.org/10.2196/30201 UR - http://www.ncbi.nlm.nih.gov/pubmed/35191847 ID - info:doi/10.2196/30201 ER - TY - JOUR AU - Arvisais-Anhalt, Simone AU - Lau, May AU - Lehmann, U. Christoph AU - Holmgren, Jay A. AU - Medford, J. Richard AU - Ramirez, M. Charina AU - Chen, N. Clifford PY - 2022/2/17 TI - The 21st Century Cures Act and Multiuser Electronic Health Record Access: Potential Pitfalls of Information Release JO - J Med Internet Res SP - e34085 VL - 24 IS - 2 KW - 21st Century Cures Act KW - Open Notes KW - Information Blocking KW - multiuser EHR access KW - proxy EHR access KW - adolescent Health KW - health IT Policy KW - information technology KW - cures act KW - electronic health record KW - electronic health information KW - health information KW - patient care UR - https://www.jmir.org/2022/2/e34085 UR - http://dx.doi.org/10.2196/34085 UR - http://www.ncbi.nlm.nih.gov/pubmed/35175207 ID - info:doi/10.2196/34085 ER - TY - JOUR AU - Sinicrope, S. Pamela AU - Young, D. Colleen AU - Resnicow, Ken AU - Merritt, T. Zoe AU - McConnell, R. Clara AU - Hughes, A. Christine AU - Koller, R. Kathryn AU - Bock, J. Martha AU - Decker, A. Paul AU - Flanagan, A. Christie AU - Meade, D. Crystal AU - Thomas, K. Timothy AU - Prochaska, J. Judith AU - Patten, A. Christi PY - 2022/2/17 TI - 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 JO - J Med Internet Res SP - e28704 VL - 24 IS - 2 KW - Web 2.0 KW - social media KW - Facebook KW - Alaska Native KW - American Indian KW - Alaska KW - smoking KW - cessation KW - cancer prevention KW - Quitline KW - mobile phone UR - https://www.jmir.org/2022/2/e28704 UR - http://dx.doi.org/10.2196/28704 UR - http://www.ncbi.nlm.nih.gov/pubmed/35175208 ID - info:doi/10.2196/28704 ER - TY - JOUR AU - Komenda, Martin AU - ?erný, Vladimír AU - ?najdárek, Petr AU - Karolyi, Mat?j AU - Hejný, Milo? AU - Pano?ka, Petr AU - Jarkovský, Ji?í AU - Gregor, Jakub AU - Bulhart, Vojt?ch AU - ?najdrová, Lenka AU - Májek, Ond?ej AU - Vymazal, Tomá? AU - Blatný, Jan AU - Du?ek, Ladislav PY - 2022/2/16 TI - Control Centre for Intensive Care as a Tool for Effective Coordination, Real-Time Monitoring, and Strategic Planning During the COVID-19 Pandemic JO - J Med Internet Res SP - e33149 VL - 24 IS - 2 KW - COVID-19 KW - coronavirus KW - intensive care KW - inpatient care KW - online control center KW - prescription KW - open data KW - ICU KW - monitoring KW - strategy KW - development KW - app KW - function KW - Czech Republic KW - inpatient KW - crisis management UR - https://www.jmir.org/2022/2/e33149 UR - http://dx.doi.org/10.2196/33149 UR - http://www.ncbi.nlm.nih.gov/pubmed/34995207 ID - info:doi/10.2196/33149 ER - TY - JOUR AU - Bove, Riley AU - Schleimer, Erica AU - Sukhanov, Paul AU - Gilson, Michael AU - Law, M. Sindy AU - Barnecut, Andrew AU - Miller, L. Bruce AU - Hauser, L. Stephen AU - Sanders, J. Stephan AU - Rankin, P. Katherine PY - 2022/2/15 TI - Building a Precision Medicine Delivery Platform for Clinics: The University of California, San Francisco, BRIDGE Experience JO - J Med Internet Res SP - e34560 VL - 24 IS - 2 KW - precision medicine KW - clinical implementation KW - in silico trials KW - clinical dashboard KW - precision KW - implementation KW - dashboard KW - design KW - experience KW - analytic KW - tool KW - analysis KW - decision-making KW - real time KW - platform KW - human-centered design UR - https://www.jmir.org/2022/2/e34560 UR - http://dx.doi.org/10.2196/34560 UR - http://www.ncbi.nlm.nih.gov/pubmed/35166689 ID - info:doi/10.2196/34560 ER - TY - JOUR AU - Kilgallon, L. John AU - Tewarie, Ashwini Ishaan AU - Broekman, D. Marike L. AU - Rana, Aakanksha AU - Smith, R. Timothy PY - 2022/2/15 TI - Passive Data Use for Ethical Digital Public Health Surveillance in a Postpandemic World JO - J Med Internet Res SP - e30524 VL - 24 IS - 2 KW - passive data KW - public health surveillance KW - digital public health surveillance KW - pandemic response KW - data privacy KW - digital phenotyping KW - smartphone KW - mobile phone KW - mHealth KW - digital health KW - informed consent KW - data equity KW - data ownership UR - https://www.jmir.org/2022/2/e30524 UR - http://dx.doi.org/10.2196/30524 UR - http://www.ncbi.nlm.nih.gov/pubmed/35166676 ID - info:doi/10.2196/30524 ER - TY - JOUR AU - Bhattacharyya, Onil AU - Shapiro, Justin AU - Schneider, C. Eric PY - 2022/2/10 TI - Innovation Centers in Health Care Delivery Systems: Structures for Success JO - J Med Internet Res SP - e33961 VL - 24 IS - 2 KW - innovation KW - digital health KW - value-based care KW - quality improvement KW - delivery science KW - value KW - structure KW - success KW - health care delivery KW - reform KW - survey KW - outcome KW - experience KW - strategy UR - https://www.jmir.org/2022/2/e33961 UR - http://dx.doi.org/10.2196/33961 UR - http://www.ncbi.nlm.nih.gov/pubmed/35142631 ID - info:doi/10.2196/33961 ER - TY - JOUR AU - Shen, X. Francis AU - Silverman, C. Benjamin AU - Monette, Patrick AU - Kimble, Sara AU - Rauch, L. Scott AU - Baker, T. Justin PY - 2022/2/9 TI - An Ethics Checklist for Digital Health Research in Psychiatry: Viewpoint JO - J Med Internet Res SP - e31146 VL - 24 IS - 2 KW - digital phenotyping KW - computataional psychiatry KW - ethics KW - law KW - privacy KW - informed consent N2 - 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. UR - https://www.jmir.org/2022/2/e31146 UR - http://dx.doi.org/10.2196/31146 UR - http://www.ncbi.nlm.nih.gov/pubmed/35138261 ID - info:doi/10.2196/31146 ER - TY - JOUR AU - Khan, Ullah Waqas AU - Shachak, Aviv AU - Seto, Emily PY - 2022/2/7 TI - Understanding Decision-Making in the Adoption of Digital Health Technology: The Role of Behavioral Economics? Prospect Theory JO - J Med Internet Res SP - e32714 VL - 24 IS - 2 KW - decision-making KW - digital health technology adoption KW - prospect theory UR - https://www.jmir.org/2022/2/e32714 UR - http://dx.doi.org/10.2196/32714 UR - http://www.ncbi.nlm.nih.gov/pubmed/35129459 ID - info:doi/10.2196/32714 ER - TY - JOUR AU - Corman, Peterson Benjamin Harris AU - Rajupet, Sritha AU - Ye, Fan AU - Schoenfeld, Randi Elinor PY - 2022/1/26 TI - The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2 JO - J Med Internet Res SP - e32713 VL - 24 IS - 1 KW - SARS CoV-2 KW - COVID-19 KW - post-acute sequelae of SARS CoV-2 (PASC) KW - post-COVID KW - long COVID KW - continuous sensing KW - passive monitoring KW - wearable sensors KW - contactless sensors KW - vital sign monitoring UR - https://www.jmir.org/2022/1/e32713 UR - http://dx.doi.org/10.2196/32713 UR - http://www.ncbi.nlm.nih.gov/pubmed/34932496 ID - info:doi/10.2196/32713 ER - TY - JOUR AU - Thivel, David AU - Corteval, Alice AU - Favreau, Jean-Marie AU - Bergeret, Emmanuel AU - Samalin, Ludovic AU - Costes, Frédéric AU - Toumani, Farouk AU - Dualé, Christian AU - Pereira, Bruno AU - Eschalier, Alain AU - Fearnbach, Nicole AU - Duclos, Martine AU - Tournadre, Anne PY - 2022/1/14 TI - 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 JO - J Med Internet Res SP - e32362 VL - 24 IS - 1 KW - indicator KW - fine body motion KW - movement behaviors KW - decomposition KW - structuration KW - sequencing UR - https://www.jmir.org/2022/1/e32362 UR - http://dx.doi.org/10.2196/32362 UR - http://www.ncbi.nlm.nih.gov/pubmed/35029537 ID - info:doi/10.2196/32362 ER - TY - JOUR AU - Shaikh, Ahmed AU - Bhatia, Abhishek AU - Yadav, Ghanshyam AU - Hora, Shashwat AU - Won, Chung AU - Shankar, Mark AU - Heerboth, Aaron AU - Vemulapalli, Prakash AU - Navalkar, Paresh AU - Oswal, Kunal AU - Heaton, Clay AU - Saunik, Sujata AU - Khanna, Tarun AU - Balsari, Satchit PY - 2022/1/10 TI - Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint JO - J Med Internet Res SP - e27952 VL - 24 IS - 1 KW - mHealth KW - design KW - human centered design KW - intervention KW - syndromic surveillance KW - digital health UR - https://www.jmir.org/2022/1/e27952 UR - http://dx.doi.org/10.2196/27952 UR - http://www.ncbi.nlm.nih.gov/pubmed/35006088 ID - info:doi/10.2196/27952 ER - TY - JOUR AU - Pham, Quynh AU - El-Dassouki, Noor AU - Lohani, Raima AU - Jebanesan, Aravinth AU - Young, Karen PY - 2022/1/7 TI - The Future of Virtual Care for Older Ethnic Adults Beyond the COVID-19 Pandemic JO - J Med Internet Res SP - e29876 VL - 24 IS - 1 KW - virtual care KW - digital health KW - health equity KW - cultural equity KW - chronic disease KW - caregivers KW - ethnocultural minority KW - older adults KW - ethnicity KW - ethnic patients KW - technology-mediated care KW - equity KW - diversity KW - family UR - https://www.jmir.org/2022/1/e29876 UR - http://dx.doi.org/10.2196/29876 UR - http://www.ncbi.nlm.nih.gov/pubmed/34994707 ID - info:doi/10.2196/29876 ER - TY - JOUR AU - Lee, WJ Edmund AU - McCloud, F. Rachel AU - Viswanath, Kasisomayajula PY - 2022/1/7 TI - Designing Effective eHealth Interventions for Underserved Groups: Five Lessons From a Decade of eHealth Intervention Design and Deployment JO - J Med Internet Res SP - e25419 VL - 24 IS - 1 KW - eHealth KW - mobile health KW - communication inequalities KW - health disparities KW - health informatics KW - mobile phone UR - https://www.jmir.org/2022/1/e25419 UR - http://dx.doi.org/10.2196/25419 UR - http://www.ncbi.nlm.nih.gov/pubmed/34994700 ID - info:doi/10.2196/25419 ER - TY - JOUR AU - Forgie, E. Ella M. AU - Lai, Hollis AU - Cao, Bo AU - Stroulia, Eleni AU - Greenshaw, J. Andrew AU - Goez, Helly PY - 2021/12/24 TI - Social Media and the Transformation of the Physician-Patient Relationship: Viewpoint JO - J Med Internet Res SP - e25230 VL - 23 IS - 12 KW - social media KW - social determinants of health KW - precision medicine KW - patient care UR - https://www.jmir.org/2021/12/e25230 UR - http://dx.doi.org/10.2196/25230 UR - http://www.ncbi.nlm.nih.gov/pubmed/34951596 ID - info:doi/10.2196/25230 ER - TY - JOUR AU - Bartlett Ellis, Rebecca AU - Wright, Julie AU - Miller, Soederberg Lisa AU - Jake-Schoffman, Danielle AU - Hekler, B. Eric AU - Goldstein, M. Carly AU - Arigo, Danielle AU - Nebeker, Camille PY - 2021/12/22 TI - Lessons Learned: Beta-Testing the Digital Health Checklist for Researchers Prompts a Call to Action by Behavioral Scientists JO - J Med Internet Res SP - e25414 VL - 23 IS - 12 KW - digital health KW - mHealth KW - research ethics KW - institutional review board KW - IRB KW - behavioral medicine KW - wearable sensors KW - social media KW - bioethics KW - data management KW - usability KW - privacy KW - access KW - risks and benefits KW - mobile phone UR - https://www.jmir.org/2021/12/e25414 UR - http://dx.doi.org/10.2196/25414 UR - http://www.ncbi.nlm.nih.gov/pubmed/34941548 ID - info:doi/10.2196/25414 ER - TY - JOUR AU - Vallury, Dee Kari AU - Baird, Barbara AU - Miller, Emma AU - Ward, Paul PY - 2021/12/13 TI - Going Viral: Researching Safely on Social Media JO - J Med Internet Res SP - e29737 VL - 23 IS - 12 KW - cyber bullying KW - online bullying KW - research activities KW - occupational safety KW - research ethics KW - students KW - bullying KW - social media UR - https://www.jmir.org/2021/12/e29737 UR - http://dx.doi.org/10.2196/29737 UR - http://www.ncbi.nlm.nih.gov/pubmed/34898450 ID - info:doi/10.2196/29737 ER - TY - JOUR AU - Guedalia, Joshua AU - Lipschuetz, Michal AU - Cohen, M. Sarah AU - Sompolinsky, Yishai AU - Walfisch, Asnat AU - Sheiner, Eyal AU - Sergienko, Ruslan AU - Rosenbloom, Joshua AU - Unger, Ron AU - Yagel, Simcha AU - Hochler, Hila PY - 2021/12/10 TI - Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery: Overcoming Challenges Posed by Interfacility Variation JO - J Med Internet Res SP - e28120 VL - 23 IS - 12 KW - machine learning KW - algorithm transport KW - health outcomes KW - health care facilities KW - artificial intelligence KW - AI KW - ML KW - pregnancy KW - birth KW - pediatrics KW - neonatal KW - prenatal UR - https://www.jmir.org/2021/12/e28120 UR - http://dx.doi.org/10.2196/28120 UR - http://www.ncbi.nlm.nih.gov/pubmed/34890352 ID - info:doi/10.2196/28120 ER - TY - JOUR AU - MacKinnon, Ross Kinnon AU - Kia, Hannah AU - Lacombe-Duncan, Ashley PY - 2021/12/9 TI - Examining TikTok?s Potential for Community-Engaged Digital Knowledge Mobilization With Equity-Seeking Groups JO - J Med Internet Res SP - e30315 VL - 23 IS - 12 KW - trans KW - nonbinary KW - marginalized communities KW - gender-affirming care KW - digital health KW - community-engaged research KW - knowledge mobilization KW - mobile phone UR - https://www.jmir.org/2021/12/e30315 UR - http://dx.doi.org/10.2196/30315 UR - http://www.ncbi.nlm.nih.gov/pubmed/34889739 ID - info:doi/10.2196/30315 ER - TY - JOUR AU - Allam, Ahmed AU - Feuerriegel, Stefan AU - Rebhan, Michael AU - Krauthammer, Michael PY - 2021/12/3 TI - Analyzing Patient Trajectories With Artificial Intelligence JO - J Med Internet Res SP - e29812 VL - 23 IS - 12 KW - patient trajectories KW - longitudinal data KW - digital medicine KW - artificial intelligence KW - machine learning UR - https://www.jmir.org/2021/12/e29812 UR - http://dx.doi.org/10.2196/29812 UR - http://www.ncbi.nlm.nih.gov/pubmed/34870606 ID - info:doi/10.2196/29812 ER - TY - JOUR AU - Ye, Ye AU - Barapatre, Seemran AU - Davis, K. Michael AU - Elliston, O. Keith AU - Davatzikos, Christos AU - Fedorov, Andrey AU - Fillion-Robin, Jean-Christophe AU - Foster, Ian AU - Gilbertson, R. John AU - Lasso, Andras AU - Miller, V. James AU - Morgan, Martin AU - Pieper, Steve AU - Raumann, E. Brigitte AU - Sarachan, D. Brion AU - Savova, Guergana AU - Silverstein, C. Jonathan AU - Taylor, P. Donald AU - Zelnis, B. Joyce AU - Zhang, Guo-Qiang AU - Cuticchia, Jamie AU - Becich, J. Michael PY - 2021/12/2 TI - Open-source Software Sustainability Models: Initial White Paper From the Informatics Technology for Cancer Research Sustainability and Industry Partnership Working Group JO - J Med Internet Res SP - e20028 VL - 23 IS - 12 KW - open-source software KW - sustainability KW - licensing model KW - financial model KW - product management KW - cancer informatics N2 - 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. UR - https://www.jmir.org/2021/12/e20028 UR - http://dx.doi.org/10.2196/20028 UR - http://www.ncbi.nlm.nih.gov/pubmed/34860667 ID - info:doi/10.2196/20028 ER - TY - JOUR AU - Karabacak, Mert AU - Ozkara, Berksu Burak AU - Ozcan, Zeynep PY - 2021/11/12 TI - Adjusting to the Reign of Webinars: Viewpoint JO - JMIR Med Educ SP - e33861 VL - 7 IS - 4 KW - virtual conference KW - student-based organization KW - neuroscience conference KW - COVID-19 KW - medical education KW - webinars KW - web-based education N2 - 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. UR - https://mededu.jmir.org/2021/4/e33861 UR - http://dx.doi.org/10.2196/33861 UR - http://www.ncbi.nlm.nih.gov/pubmed/34766916 ID - info:doi/10.2196/33861 ER - TY - JOUR AU - Clay, Ieuan AU - Angelopoulos, Christian AU - Bailey, Lord Anne AU - Blocker, Aaron AU - Carini, Simona AU - Carvajal, Rodrigo AU - Drummond, David AU - McManus, F. Kimberly AU - Oakley-Girvan, Ingrid AU - Patel, B. Krupal AU - Szepietowski, Phillip AU - Goldsack, C. Jennifer PY - 2021/11/9 TI - Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices JO - J Med Internet Res SP - e34493 VL - 23 IS - 11 KW - digital measures KW - data integration KW - patient centricity KW - utility UR - https://www.jmir.org/2021/11/e34493 UR - http://dx.doi.org/10.2196/34493 UR - http://www.ncbi.nlm.nih.gov/pubmed/34751656 ID - info:doi/10.2196/34493 ER - TY - JOUR AU - Price, Amy AU - Damaraju, Aishini AU - Kushalnagar, Poorna AU - Brunoe, Summer AU - Srivastava, Ujwal AU - Debidda, Marcella AU - Chu, Larry PY - 2021/11/3 TI - Coproduction, Coeducation, and Patient Involvement: Everyone Included Framework for Medical Education Across Age Groups and Cultures JO - JMIR Med Educ SP - e31846 VL - 7 IS - 4 KW - medical education KW - coproduction KW - public and patient involvement KW - education KW - patient KW - involvement KW - age KW - demographic KW - model KW - framework KW - culture KW - exploratory KW - engagement UR - https://mededu.jmir.org/2021/4/e31846 UR - http://dx.doi.org/10.2196/31846 UR - http://www.ncbi.nlm.nih.gov/pubmed/34730539 ID - info:doi/10.2196/31846 ER - TY - JOUR AU - Gilbert, Stephen AU - Fenech, Matthew AU - Hirsch, Martin AU - Upadhyay, Shubhanan AU - Biasiucci, Andrea AU - Starlinger, Johannes PY - 2021/10/26 TI - Algorithm Change Protocols in the Regulation of Adaptive Machine Learning?Based Medical Devices JO - J Med Internet Res SP - e30545 VL - 23 IS - 10 KW - artificial intelligence KW - machine learning KW - regulation KW - algorithm change protocol KW - healthcare KW - regulatory framework KW - health care UR - https://www.jmir.org/2021/10/e30545 UR - http://dx.doi.org/10.2196/30545 UR - http://www.ncbi.nlm.nih.gov/pubmed/34697010 ID - info:doi/10.2196/30545 ER - TY - JOUR AU - Gross, S. Marielle AU - Hood, J. Amelia AU - Miller Jr, C. Robert PY - 2021/10/22 TI - Nonfungible Tokens as a Blockchain Solution to Ethical Challenges for the Secondary Use of Biospecimens: Viewpoint JO - JMIR Bioinform Biotech SP - e29905 VL - 2 IS - 1 KW - blockchain KW - biospecimens KW - research ethics KW - nonfungible tokens KW - health platforms KW - HeLa cells KW - patient data KW - deidentification KW - eHealth KW - data security KW - integrity UR - https://bioinform.jmir.org/2021/1/e29905 UR - http://dx.doi.org/10.2196/29905 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/29905 ER - TY - JOUR AU - Oppelaar, C. Martinus AU - van den Wijngaart, S. Lara AU - Merkus, M. Peter J. F. AU - Croonen, A. Ellen AU - Hugen, C. Cindy A. AU - Brouwer, L. Marianne AU - Boehmer, M. Annemie L. AU - Roukema, Jolt PY - 2021/10/20 TI - It Is Not Just the FEV1 That Matters, but the Personal Goals We Reach Along the Way: Qualitative, Multicenter, Prospective, Observational Study JO - J Med Internet Res SP - e29218 VL - 23 IS - 10 KW - eHealth KW - asthma KW - pediatrics KW - telemonitoring KW - lung function tests KW - lung function KW - spirometry KW - home monitoring KW - mHealth KW - app KW - smartphone KW - asthma control KW - child KW - outpatients KW - remote consultations KW - quality improvement KW - patient care management KW - telemetry KW - application KW - FEV1 KW - pulmonary care N2 - 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. UR - https://www.jmir.org/2021/10/e29218 UR - http://dx.doi.org/10.2196/29218 UR - http://www.ncbi.nlm.nih.gov/pubmed/34668868 ID - info:doi/10.2196/29218 ER - TY - JOUR AU - Guni, Ahmad AU - Normahani, Pasha AU - Davies, Alun AU - Jaffer, Usman PY - 2021/10/19 TI - Harnessing Machine Learning to Personalize Web-Based Health Care Content JO - J Med Internet Res SP - e25497 VL - 23 IS - 10 KW - internet KW - online health information KW - personalized content KW - patient education KW - machine learning UR - https://www.jmir.org/2021/10/e25497 UR - http://dx.doi.org/10.2196/25497 UR - http://www.ncbi.nlm.nih.gov/pubmed/34665146 ID - info:doi/10.2196/25497 ER - TY - JOUR AU - Jordan, Louanne Chloe AU - Sathaananthan, Thillainathan AU - Celi, Anthony Leo AU - Jones, Linda AU - Alagha, Abdulhadi M. PY - 2021/10/18 TI - The Use of a Formative Pedagogy Lens to Enhance and Maintain Virtual Supervisory Relationships: Appreciative Inquiry and Critical Review JO - JMIR Med Educ SP - e26251 VL - 7 IS - 4 KW - medical education KW - virtual learning KW - formative pedagogy KW - supervisory relationships KW - pedagogy KW - mentors KW - education KW - virtual education KW - teaching KW - online platforms KW - web-based N2 - 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. UR - https://mededu.jmir.org/2021/4/e26251 UR - http://dx.doi.org/10.2196/26251 UR - http://www.ncbi.nlm.nih.gov/pubmed/34661542 ID - info:doi/10.2196/26251 ER - TY - JOUR AU - Spadaro, Benedetta AU - Martin-Key, A. Nayra AU - Bahn, Sabine PY - 2021/10/13 TI - Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators JO - J Med Internet Res SP - e27507 VL - 23 IS - 10 KW - digital implementation KW - digital mental health KW - digital psychiatry KW - digital technology KW - viewpoint UR - https://www.jmir.org/2021/10/e27507 UR - http://dx.doi.org/10.2196/27507 UR - http://www.ncbi.nlm.nih.gov/pubmed/34643537 ID - info:doi/10.2196/27507 ER - TY - JOUR AU - Albouy-Llaty, Marion AU - Martin, Caroline AU - Benamouzig, Daniel AU - Bothorel, Eric AU - Munier, Gilles AU - Simonin, Catherine AU - Guéant, Jean-Louis AU - Rusch, Emmanuel PY - 2021/10/7 TI - Positioning Digital Tracing Applications in the Management of the COVID-19 Pandemic in France JO - J Med Internet Res SP - e27301 VL - 23 IS - 10 KW - COVID-19 pandemic KW - digital contact tracing applications KW - health inequalities KW - Europe KW - health promotion UR - https://www.jmir.org/2021/10/e27301 UR - http://dx.doi.org/10.2196/27301 UR - http://www.ncbi.nlm.nih.gov/pubmed/34313588 ID - info:doi/10.2196/27301 ER - TY - JOUR AU - Sarker, Abeed AU - Al-Garadi, Ali Mohammed AU - Yang, Yuan-Chi AU - Choi, Jinho AU - Quyyumi, A. Arshed AU - Martin, S. Greg PY - 2021/9/28 TI - Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts JO - JMIR Med Inform SP - e18471 VL - 9 IS - 9 KW - natural language processing KW - text mining KW - patient-centered care KW - evidence-based medicine KW - medical informatics UR - https://medinform.jmir.org/2021/9/e18471 UR - http://dx.doi.org/10.2196/18471 UR - http://www.ncbi.nlm.nih.gov/pubmed/34581670 ID - info:doi/10.2196/18471 ER - TY - JOUR AU - van Eijk, A. Ruben P. AU - Beelen, Anita AU - Kruitwagen, T. Esther AU - Murray, Deirdre AU - Radakovic, Ratko AU - Hobson, Esther AU - Knox, Liam AU - Helleman, Jochem AU - Burke, Tom AU - Rubio Pérez, Ángel Miguel AU - Reviers, Evy AU - Genge, Angela AU - Steyn, J. Frederik AU - Ngo, Shyuan AU - Eaglesham, John AU - Roes, B. Kit C. AU - van den Berg, H. Leonard AU - Hardiman, Orla AU - McDermott, J. Christopher PY - 2021/9/22 TI - A Road Map for Remote Digital Health Technology for Motor Neuron Disease JO - J Med Internet Res SP - e28766 VL - 23 IS - 9 KW - amyotrophic lateral sclerosis KW - digital health care technology KW - e-health UR - https://www.jmir.org/2021/9/e28766 UR - http://dx.doi.org/10.2196/28766 UR - http://www.ncbi.nlm.nih.gov/pubmed/34550089 ID - info:doi/10.2196/28766 ER - TY - JOUR AU - Siedlikowski, Sophia AU - Noël, Louis-Philippe AU - Moynihan, Anne Stephanie AU - Robin, Marc PY - 2021/9/21 TI - Chloe for COVID-19: Evolution of an Intelligent Conversational Agent to Address Infodemic Management Needs During the COVID-19 Pandemic JO - J Med Internet Res SP - e27283 VL - 23 IS - 9 KW - chatbot KW - COVID-19 KW - conversational agents KW - public health KW - artificial intelligence KW - infodemic KW - infodemiology KW - misinformation KW - digital health KW - virtual care UR - https://www.jmir.org/2021/9/e27283 UR - http://dx.doi.org/10.2196/27283 UR - http://www.ncbi.nlm.nih.gov/pubmed/34375299 ID - info:doi/10.2196/27283 ER - TY - JOUR AU - Commiskey, Patricia AU - Armstrong, W. April AU - Coker, R. Tumaini AU - Dorsey, Ray Earl AU - Fortney, C. John AU - Gaines, J. Kenneth AU - Gibbons, M. Brittany AU - Nguyen, Q. Huong AU - Singla, R. Daisy AU - Szigethy, Eva AU - Krupinski, A. Elizabeth PY - 2021/9/20 TI - A Blueprint for the Conduct of Large, Multisite Trials in Telemedicine JO - J Med Internet Res SP - e29511 VL - 23 IS - 9 KW - telemedicine trials KW - randomized trials KW - challenges KW - multisite KW - mobile phone UR - https://www.jmir.org/2021/9/e29511 UR - http://dx.doi.org/10.2196/29511 UR - http://www.ncbi.nlm.nih.gov/pubmed/34542417 ID - info:doi/10.2196/29511 ER - TY - JOUR AU - Barkia, Abdelaziz AU - Laamrani, Hammou AU - Belalia, Abdelmounaim AU - Benmamoun, Abderrahman AU - Khader, Yousef PY - 2021/9/17 TI - Morocco's National Response to the COVID-19 Pandemic: Public Health Challenges and Lessons Learned JO - JMIR Public Health Surveill SP - e31930 VL - 7 IS - 9 KW - COVID-19 KW - public health KW - challenges KW - prevention KW - control KW - infectious disease UR - https://publichealth.jmir.org/2021/9/e31930 UR - http://dx.doi.org/10.2196/31930 UR - http://www.ncbi.nlm.nih.gov/pubmed/34388104 ID - info:doi/10.2196/31930 ER - TY - JOUR AU - Zhi, Lihua AU - Yin, Pei AU - Ren, Jingjing AU - Wei, Guoqing AU - Zhou, Jun AU - Wu, Jun AU - Shen, Qun PY - 2021/9/16 TI - Running an Internet Hospital in China: Perspective Based on a Case Study JO - J Med Internet Res SP - e18307 VL - 23 IS - 9 KW - internet hospitals KW - telemedicine KW - medical service KW - medical procedures KW - operation management KW - network security UR - https://www.jmir.org/2021/9/e18307 UR - http://dx.doi.org/10.2196/18307 UR - http://www.ncbi.nlm.nih.gov/pubmed/34342267 ID - info:doi/10.2196/18307 ER - TY - JOUR AU - Evans, Yolanda AU - Hutchinson, Jeffrey AU - Ameenuddin, Nusheen PY - 2021/9/15 TI - Opportunity, Challenge, or Both? Managing Adolescent Socioemotional and Mental Health During Web-Based Learning JO - JMIR Ment Health SP - e26484 VL - 8 IS - 9 KW - pandemic KW - technology KW - media KW - bullying KW - mental health KW - distance learning UR - https://mental.jmir.org/2021/9/e26484 UR - http://dx.doi.org/10.2196/26484 UR - http://www.ncbi.nlm.nih.gov/pubmed/34524094 ID - info:doi/10.2196/26484 ER - TY - JOUR AU - Geva, A. Gil AU - Ketko, Itay AU - Nitecki, Maya AU - Simon, Shoham AU - Inbar, Barr AU - Toledo, Itay AU - Shapiro, Michael AU - Vaturi, Barak AU - Votta, Yoni AU - Filler, Daniel AU - Yosef, Roey AU - Shpitzer, A. Sagi AU - Hir, Nabil AU - Peri Markovich, Michal AU - Shapira, Shachar AU - Fink, Noam AU - Glasberg, Elon AU - Furer, Ariel PY - 2021/9/10 TI - Data Empowerment of Decision-Makers in an Era of a Pandemic: Intersection of ?Classic? and Artificial Intelligence in the Service of Medicine JO - J Med Internet Res SP - e24295 VL - 23 IS - 9 KW - COVID-19 KW - medical informatics KW - decision-making KW - pandemic KW - data KW - policy KW - validation KW - accuracy KW - data analysis N2 - 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. UR - https://www.jmir.org/2021/9/e24295 UR - http://dx.doi.org/10.2196/24295 UR - http://www.ncbi.nlm.nih.gov/pubmed/34313589 ID - info:doi/10.2196/24295 ER - TY - JOUR AU - Denis, Fabrice AU - Krakowski, Ivan PY - 2021/9/9 TI - How Should Oncologists Choose an Electronic Patient-Reported Outcome System for Remote Monitoring of Patients With Cancer? JO - J Med Internet Res SP - e30549 VL - 23 IS - 9 KW - ePRO KW - cancer KW - remote monitoring KW - quality KW - effectiveness KW - security KW - digital monitoring KW - digital health KW - cancer patients KW - patients with cancer KW - oncology UR - https://www.jmir.org/2021/9/e30549 UR - http://dx.doi.org/10.2196/30549 UR - http://www.ncbi.nlm.nih.gov/pubmed/34499046 ID - info:doi/10.2196/30549 ER - TY - JOUR AU - Desveaux, Laura AU - Budhwani, Suman AU - Stamenova, Vess AU - Bhattacharyya, Onil AU - Shaw, James AU - Bhatia, Sacha R. PY - 2021/9/3 TI - Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives JO - J Med Internet Res SP - e25797 VL - 23 IS - 9 KW - virtual care KW - primary care KW - embedded research KW - implementation KW - knowledge exchange KW - health policy UR - https://www.jmir.org/2021/9/e25797 UR - http://dx.doi.org/10.2196/25797 UR - http://www.ncbi.nlm.nih.gov/pubmed/34477560 ID - info:doi/10.2196/25797 ER - TY - JOUR AU - Newman, Julliana AU - Liew, Andrew AU - Bowles, Jon AU - Soady, Kelly AU - Inglis, Steven PY - 2021/8/27 TI - Podcasts for the Delivery of Medical Education and Remote Learning JO - J Med Internet Res SP - e29168 VL - 23 IS - 8 KW - digital KW - hepatitis C virus KW - health care professionals KW - hepatology KW - HIV KW - continuous professional development KW - podcasts KW - remote learning KW - virology UR - https://www.jmir.org/2021/8/e29168 UR - http://dx.doi.org/10.2196/29168 UR - http://www.ncbi.nlm.nih.gov/pubmed/34448719 ID - info:doi/10.2196/29168 ER - TY - JOUR AU - Brasier, Noe AU - Osthoff, Michael AU - De Ieso, Fiorangelo AU - Eckstein, Jens PY - 2021/8/19 TI - Next-Generation Digital Biomarkers for Tuberculosis and Antibiotic Stewardship: Perspective on Novel Molecular Digital Biomarkers in Sweat, Saliva, and Exhaled Breath JO - J Med Internet Res SP - e25907 VL - 23 IS - 8 KW - digital biomarkers KW - active tuberculosis KW - drug resistance KW - wearable KW - smart biosensors KW - iSudorology KW - infectious diseases UR - https://www.jmir.org/2021/8/e25907 UR - http://dx.doi.org/10.2196/25907 UR - http://www.ncbi.nlm.nih.gov/pubmed/34420925 ID - info:doi/10.2196/25907 ER - TY - JOUR AU - Mackert, Michael AU - Mandell, Dorothy AU - Donovan, Erin AU - Walker, Lorraine AU - Henson-García, Mike AU - Bouchacourt, Lindsay PY - 2021/8/17 TI - Mobile Apps as Audience-Centered Health Communication Platforms JO - JMIR Mhealth Uhealth SP - e25425 VL - 9 IS - 8 KW - health communication KW - mHealth KW - mobile apps KW - mobile health KW - prenatal health KW - pregnancy KW - audience-centered UR - https://mhealth.jmir.org/2021/8/e25425 UR - http://dx.doi.org/10.2196/25425 UR - http://www.ncbi.nlm.nih.gov/pubmed/34402797 ID - info:doi/10.2196/25425 ER - TY - JOUR AU - Chaney, Cunard Sarah AU - Mechael, Patricia AU - Thu, Myo Nay AU - Diallo, S. Mamadou AU - Gachen, Carine PY - 2021/8/3 TI - Every Child on the Map: A Theory of Change Framework for Improving Childhood Immunization Coverage and Equity Using Geospatial Data and Technologies JO - J Med Internet Res SP - e29759 VL - 23 IS - 8 KW - geospatial data KW - immunization KW - health information systems KW - service delivery KW - equity mapping KW - theory KW - framework KW - children KW - vaccine KW - equity KW - geospatial KW - data KW - outcome KW - coverage KW - low- and middle-income KW - LMIC UR - https://www.jmir.org/2021/8/e29759 UR - http://dx.doi.org/10.2196/29759 UR - http://www.ncbi.nlm.nih.gov/pubmed/34342584 ID - info:doi/10.2196/29759 ER - TY - JOUR AU - Shah, K. Megha AU - Gibbs, Christina Ashley AU - Ali, K. Mohammed AU - Narayan, Venkat K. M. AU - Islam, Nadia PY - 2021/7/8 TI - Overcoming the Digital Divide in the Post?COVID-19 ?Reset?: Enhancing Group Virtual Visits with Community Health Workers JO - J Med Internet Res SP - e27682 VL - 23 IS - 7 KW - community health workers KW - COVID-19 KW - diabetes mellitus KW - eHealth KW - elderly KW - health equity KW - telemedicine KW - virtual KW - vulnerable populations UR - https://www.jmir.org/2021/7/e27682 UR - http://dx.doi.org/10.2196/27682 UR - http://www.ncbi.nlm.nih.gov/pubmed/34152995 ID - info:doi/10.2196/27682 ER - TY - JOUR AU - Lam, Kyle AU - Purkayastha, Sanjay AU - Kinross, M. James PY - 2021/7/5 TI - The Ethical Digital Surgeon JO - J Med Internet Res SP - e25849 VL - 23 IS - 7 KW - digital surgery KW - ethics KW - data governance KW - robotics KW - digital surgeons KW - surgery KW - digital health care KW - smartphone app UR - https://www.jmir.org/2021/7/e25849 UR - http://dx.doi.org/10.2196/25849 UR - http://www.ncbi.nlm.nih.gov/pubmed/34453502 ID - info:doi/10.2196/25849 ER - TY - JOUR AU - Persson, Johanna AU - Rydenfält, Christofer PY - 2021/6/22 TI - 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 JO - J Med Internet Res SP - e26694 VL - 23 IS - 6 KW - digital systems KW - electronic health records KW - digital work environment KW - ergonomics KW - usability KW - human-centered design UR - https://www.jmir.org/2021/6/e26694 UR - http://dx.doi.org/10.2196/26694 UR - http://www.ncbi.nlm.nih.gov/pubmed/34156336 ID - info:doi/10.2196/26694 ER - TY - JOUR AU - Wang, Zhengfei AU - Wang, Lai AU - Xiao, Fu'an AU - Chen, Qingsong AU - Lu, Liming AU - Hong, Jiaming PY - 2021/6/21 TI - A Traditional Chinese Medicine Traceability System Based on Lightweight Blockchain JO - J Med Internet Res SP - e25946 VL - 23 IS - 6 KW - blockchain KW - traditional Chinese medicine KW - TCM KW - traceability system KW - fake drugs KW - IPFS KW - fraud KW - traceability N2 - 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. UR - https://www.jmir.org/2021/6/e25946 UR - http://dx.doi.org/10.2196/25946 UR - http://www.ncbi.nlm.nih.gov/pubmed/34152279 ID - info:doi/10.2196/25946 ER - TY - JOUR AU - Turkdogan, Sena AU - Schnitman, Gabriel AU - Wang, Tianci AU - Gotlieb, Raphael AU - How, Jeffrey AU - Gotlieb, Henri Walter PY - 2021/6/21 TI - Development of a Digital Patient Education Tool for Patients With Cancer During the COVID-19 Pandemic JO - JMIR Cancer SP - e23637 VL - 7 IS - 2 KW - digital health KW - eHealth KW - patient education KW - COVID-19 N2 - 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. UR - https://cancer.jmir.org/2021/2/e23637 UR - http://dx.doi.org/10.2196/23637 UR - http://www.ncbi.nlm.nih.gov/pubmed/34101611 ID - info:doi/10.2196/23637 ER - TY - JOUR AU - Ferrar, Jennifer AU - Griffith, J. Gareth AU - Skirrow, Caroline AU - Cashdollar, Nathan AU - Taptiklis, Nick AU - Dobson, James AU - Cree, Fiona AU - Cormack, K. Francesca AU - Barnett, H. Jennifer AU - Munafň, R. Marcus PY - 2021/6/18 TI - Developing Digital Tools for Remote Clinical Research: How to Evaluate the Validity and Practicality of Active Assessments in Field Settings JO - J Med Internet Res SP - e26004 VL - 23 IS - 6 KW - digital assessment KW - remote research KW - measurement validity KW - clinical outcomes KW - ecological momentary assessment KW - mobile phone UR - https://www.jmir.org/2021/6/e26004 UR - http://dx.doi.org/10.2196/26004 UR - http://www.ncbi.nlm.nih.gov/pubmed/34142972 ID - info:doi/10.2196/26004 ER - TY - JOUR AU - Bashier, Haitham AU - Ikram, Aamer AU - Khan, Ali Mumtaz AU - Baig, Mirza AU - Al Gunaid, Magid AU - Al Nsour, Mohannad AU - Khader, Yousef PY - 2021/6/18 TI - The Anticipated Future of Public Health Services Post COVID-19: Viewpoint JO - JMIR Public Health Surveill SP - e26267 VL - 7 IS - 6 KW - COVID-19 KW - public health KW - health system KW - health services UR - https://publichealth.jmir.org/2021/6/e26267 UR - http://dx.doi.org/10.2196/26267 UR - http://www.ncbi.nlm.nih.gov/pubmed/33592576 ID - info:doi/10.2196/26267 ER - TY - JOUR AU - An, Ning AU - Mattison, John AU - Chen, Xinyu AU - Alterovitz, Gil PY - 2021/6/14 TI - Team Science in Precision Medicine: Study of Coleadership and Coauthorship Across Health Organizations JO - J Med Internet Res SP - e17137 VL - 23 IS - 6 KW - precision medicine KW - team science N2 - 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. UR - https://www.jmir.org/2021/6/e17137 UR - http://dx.doi.org/10.2196/17137 UR - http://www.ncbi.nlm.nih.gov/pubmed/34125070 ID - info:doi/10.2196/17137 ER - TY - JOUR AU - Lau, Nancy AU - O'Daffer, Alison AU - Yi-Frazier, Joyce AU - Rosenberg, R. Abby PY - 2021/6/7 TI - Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps JO - J Med Internet Res SP - e27105 VL - 23 IS - 6 KW - telemedicine KW - smartphone KW - mobile phones KW - mHealth KW - mobile apps KW - health services UR - https://www.jmir.org/2021/6/e27105 UR - http://dx.doi.org/10.2196/27105 UR - http://www.ncbi.nlm.nih.gov/pubmed/34096868 ID - info:doi/10.2196/27105 ER - TY - JOUR AU - Dang, Ha Thu AU - Nguyen, Anh Tuan AU - Hoang Van, Minh AU - Santin, Olinda AU - Tran, Thi Oanh Mai AU - Schofield, Penelope PY - 2021/6/4 TI - Patient-Centered Care: Transforming the Health Care System in Vietnam With Support of Digital Health Technology JO - J Med Internet Res SP - e24601 VL - 23 IS - 6 KW - building blocks KW - digital health KW - eHealth KW - patient-centered care KW - telemedicine KW - Vietnam N2 - 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. UR - https://www.jmir.org/2021/6/e24601 UR - http://dx.doi.org/10.2196/24601 UR - http://www.ncbi.nlm.nih.gov/pubmed/34085939 ID - info:doi/10.2196/24601 ER - TY - JOUR AU - Paton, Chris AU - Kushniruk, W. Andre AU - Borycki, M. Elizabeth AU - English, Mike AU - Warren, Jim PY - 2021/5/27 TI - Improving the Usability and Safety of Digital Health Systems: The Role of Predictive Human-Computer Interaction Modeling JO - J Med Internet Res SP - e25281 VL - 23 IS - 5 KW - digital health KW - human-centered design KW - usability KW - human-computer interaction KW - predictive modeling UR - https://www.jmir.org/2021/5/e25281 UR - http://dx.doi.org/10.2196/25281 UR - http://www.ncbi.nlm.nih.gov/pubmed/34042590 ID - info:doi/10.2196/25281 ER - TY - JOUR AU - Jadczyk, Tomasz AU - Wojakowski, Wojciech AU - Tendera, Michal AU - Henry, D. Timothy AU - Egnaczyk, Gregory AU - Shreenivas, Satya PY - 2021/5/25 TI - Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology JO - J Med Internet Res SP - e22959 VL - 23 IS - 5 KW - artificial intelligence KW - conversational agent KW - COVID-19 KW - virtual care KW - voice assistant KW - voice chatbot UR - https://www.jmir.org/2021/5/e22959 UR - http://dx.doi.org/10.2196/22959 UR - http://www.ncbi.nlm.nih.gov/pubmed/33999834 ID - info:doi/10.2196/22959 ER - TY - JOUR AU - Kleinert, Stefan AU - Bartz-Bazzanella, Peter AU - von der Decken, Cay AU - Knitza, Johannes AU - Witte, Torsten AU - Fekete, P. Sándor AU - Konitzny, Matthias AU - Zink, Alexander AU - Gauler, Georg AU - Wurth, Patrick AU - Aries, Peer AU - Karberg, Kirsten AU - Kuhn, Christoph AU - Schuch, Florian AU - Späthling-Mestekemper, Susanna AU - Vorbrüggen, Wolfgang AU - Englbrecht, Matthias AU - Welcker, Martin AU - PY - 2021/5/20 TI - A Real-World Rheumatology Registry and Research Consortium: The German RheumaDatenRhePort (RHADAR) Registry JO - J Med Internet Res SP - e28164 VL - 23 IS - 5 KW - registry KW - rheumatology KW - real-world data KW - symptom checker KW - patient-reported outcomes UR - https://www.jmir.org/2021/5/e28164 UR - http://dx.doi.org/10.2196/28164 UR - http://www.ncbi.nlm.nih.gov/pubmed/34014170 ID - info:doi/10.2196/28164 ER - TY - JOUR AU - Himelein-Wachowiak, McKenzie AU - Giorgi, Salvatore AU - Devoto, Amanda AU - Rahman, Muhammad AU - Ungar, Lyle AU - Schwartz, Andrew H. AU - Epstein, H. David AU - Leggio, Lorenzo AU - Curtis, Brenda PY - 2021/5/20 TI - Bots and Misinformation Spread on Social Media: Implications for COVID-19 JO - J Med Internet Res SP - e26933 VL - 23 IS - 5 KW - COVID-19 KW - coronavirus KW - social media KW - bots KW - infodemiology KW - infoveillance KW - social listening KW - infodemic KW - spambots KW - misinformation KW - disinformation KW - fake news KW - online communities KW - Twitter KW - public health UR - https://www.jmir.org/2021/5/e26933 UR - http://dx.doi.org/10.2196/26933 UR - http://www.ncbi.nlm.nih.gov/pubmed/33882014 ID - info:doi/10.2196/26933 ER - TY - JOUR AU - Dimitri, Paul AU - Fernandez-Luque, Luis AU - Banerjee, Indraneel AU - Bergadá, Ignacio AU - Calliari, Eduardo Luis AU - Dahlgren, Jovanna AU - de Arriba, Antonio AU - Lapatto, Risto AU - Reinehr, Thomas AU - Senniappan, Senthil AU - Thomas-Teinturier, Cécile AU - Tsai, Meng-Che AU - Anuar Zaini, Azriyanti AU - Bagha, Merat AU - Koledova, Ekaterina PY - 2021/5/20 TI - An eHealth Framework for Managing Pediatric Growth Disorders and Growth Hormone Therapy JO - J Med Internet Res SP - e27446 VL - 23 IS - 5 KW - eHealth tools KW - pediatric growth disorders KW - referral and diagnosis KW - growth hormone therapy KW - adherence to treatment KW - workshop discussions KW - eHealth KW - pediatrics KW - growth failure KW - growth hormone N2 - 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. UR - https://www.jmir.org/2021/5/e27446 UR - http://dx.doi.org/10.2196/27446 UR - http://www.ncbi.nlm.nih.gov/pubmed/34014174 ID - info:doi/10.2196/27446 ER - TY - JOUR AU - Halabi, Reem AU - Smith, Geoffrey AU - Sylwestrzak, Marc AU - Clay, Brian AU - Longhurst, A. Christopher AU - Lander, Lina PY - 2021/5/19 TI - The Impact of Inpatient Telemedicine on Personal Protective Equipment Savings During the COVID-19 Pandemic: Cross-sectional Study JO - J Med Internet Res SP - e28845 VL - 23 IS - 5 KW - inpatient telemedicine KW - bedside iPad KW - video visits KW - personal protective equipment KW - COVID-19 KW - virtual visits KW - pandemic KW - telehealth KW - telemedicine KW - digital health UR - https://www.jmir.org/2021/5/e28845 UR - http://dx.doi.org/10.2196/28845 UR - http://www.ncbi.nlm.nih.gov/pubmed/33945494 ID - info:doi/10.2196/28845 ER - TY - JOUR AU - Cresswell, Kathrin AU - Tahir, Ahsen AU - Sheikh, Zakariya AU - Hussain, Zain AU - Domínguez Hernández, Andrés AU - Harrison, Ewen AU - Williams, Robin AU - Sheikh, Aziz AU - Hussain, Amir PY - 2021/5/17 TI - Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence?Enabled Social Media Analysis JO - J Med Internet Res SP - e26618 VL - 23 IS - 5 KW - artificial intelligence KW - sentiment analysis KW - COVID-19 KW - contact tracing KW - social media KW - perception KW - app KW - exploratory KW - suitability KW - AI KW - Facebook KW - Twitter KW - United Kingdom KW - sentiment KW - attitude KW - infodemiology KW - infoveillance N2 - 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. UR - https://www.jmir.org/2021/5/e26618 UR - http://dx.doi.org/10.2196/26618 UR - http://www.ncbi.nlm.nih.gov/pubmed/33939622 ID - info:doi/10.2196/26618 ER - TY - JOUR AU - Acquaviva, D. Kimberly PY - 2021/5/17 TI - Establishing and Facilitating Large-Scale Manuscript Collaborations via Social Media: Novel Method and Tools for Replication JO - J Med Internet Res SP - e25077 VL - 23 IS - 5 KW - social media KW - crowdsourcing KW - collaboration KW - health professions KW - medicine KW - scholarship KW - literature KW - research N2 - 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. UR - https://www.jmir.org/2021/5/e25077 UR - http://dx.doi.org/10.2196/25077 UR - http://www.ncbi.nlm.nih.gov/pubmed/33999002 ID - info:doi/10.2196/25077 ER - TY - JOUR AU - Groenendaal, Willemijn AU - Lee, Seulki AU - van Hoof, Chris PY - 2021/5/11 TI - Wearable Bioimpedance Monitoring: Viewpoint for Application in Chronic Conditions JO - JMIR Biomed Eng SP - e22911 VL - 6 IS - 2 KW - wearable monitoring KW - bioimpedance KW - impedance pneumography KW - impedance cardiography KW - body composition KW - imaging UR - https://biomedeng.jmir.org/2021/2/e22911 UR - http://dx.doi.org/10.2196/22911 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/22911 ER - TY - JOUR AU - Lo, Wei-Cheng AU - Wang, Fu-Chung AU - Lin, Li-Yin AU - Jyan, Hong-Wei AU - Wu, Hsuan-Chien AU - Huang, Yao-Liang AU - Parng, I-Ming AU - Chiou, Hung-Yi PY - 2021/5/7 TI - Enhancing Data Linkage to Break the Chain of COVID-19 Spread: The Taiwan Experience JO - J Med Internet Res SP - e24294 VL - 23 IS - 5 KW - COVID-19 KW - data linkage KW - digital health KW - digital technology KW - infectious disease KW - management KW - National Health Insurance System KW - prevention KW - spread KW - Taiwan UR - https://www.jmir.org/2021/5/e24294 UR - http://dx.doi.org/10.2196/24294 UR - http://www.ncbi.nlm.nih.gov/pubmed/33882019 ID - info:doi/10.2196/24294 ER - TY - JOUR AU - Abu El Sood, Hanaa AU - Abu Kamer, Ali Shimaa AU - Kamel, Reham AU - Magdy, Hesham AU - Osman, S. Fatma AU - Fahim, Manal AU - Mohsen, Amira AU - AbdelFatah, Mohamad AU - Hassany, Mohamed AU - Afifi, Salma AU - Eid, Alaa PY - 2021/5/7 TI - 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 JO - JMIR Public Health Surveill SP - e27412 VL - 7 IS - 5 KW - pandemic preparedness KW - Egypt KW - ARI KW - epidemic mitigation KW - COVID-19 UR - https://publichealth.jmir.org/2021/5/e27412 UR - http://dx.doi.org/10.2196/27412 UR - http://www.ncbi.nlm.nih.gov/pubmed/33830932 ID - info:doi/10.2196/27412 ER - TY - JOUR AU - Ferreira, Ana AU - Cruz-Correia, Ricardo PY - 2021/5/6 TI - COVID-19 and Cybersecurity: Finally, an Opportunity to Disrupt? JO - JMIRx Med SP - e21069 VL - 2 IS - 2 KW - COVID-19 KW - cybersecurity KW - challenges and disruption KW - data protection KW - privacy KW - health data UR - https://xmed.jmir.org/2021/2/e21069 UR - http://dx.doi.org/10.2196/21069 UR - http://www.ncbi.nlm.nih.gov/pubmed/34032816 ID - info:doi/10.2196/21069 ER - TY - JOUR AU - Cosco, D. Theodore AU - Fortuna, Karen AU - Wister, Andrew AU - Riadi, Indira AU - Wagner, Kevin AU - Sixsmith, Andrew PY - 2021/5/6 TI - COVID-19, Social Isolation, and Mental Health Among Older Adults: A Digital Catch-22 JO - J Med Internet Res SP - e21864 VL - 23 IS - 5 KW - social isolation KW - mental health KW - COVID-19 KW - technology KW - older adult KW - psychology KW - digital health UR - https://www.jmir.org/2021/5/e21864 UR - http://dx.doi.org/10.2196/21864 UR - http://www.ncbi.nlm.nih.gov/pubmed/33891557 ID - info:doi/10.2196/21864 ER - TY - JOUR AU - Logan, E. Deirdre AU - Simons, E. Laura AU - Caruso, J. Thomas AU - Gold, I. Jeffrey AU - Greenleaf, Walter AU - Griffin, Anya AU - King, D. Christopher AU - Menendez, Maria AU - Olbrecht, A. Vanessa AU - Rodriguez, Samuel AU - Silvia, Megan AU - Stinson, N. Jennifer AU - Wang, Ellen AU - Williams, E. Sara AU - Wilson, Luke PY - 2021/4/26 TI - 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 JO - J Med Internet Res SP - e25916 VL - 23 IS - 4 KW - virtual reality KW - pediatric KW - chronic pain N2 - 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. UR - https://www.jmir.org/2021/4/e25916 UR - http://dx.doi.org/10.2196/25916 UR - http://www.ncbi.nlm.nih.gov/pubmed/33667177 ID - info:doi/10.2196/25916 ER - TY - JOUR AU - Steinkamp, Jackson AU - Kantrowitz, Jacob AU - Sharma, Abhinav AU - Bala, Wasif PY - 2021/4/20 TI - Beyond Notes: Why It Is Time to Abandon an Outdated Documentation Paradigm JO - J Med Internet Res SP - e24179 VL - 23 IS - 4 KW - electronic medical records KW - health informatics KW - information chaos KW - medical documentation KW - clinicians KW - medical notes KW - electronic medical notes KW - medical team UR - https://www.jmir.org/2021/4/e24179 UR - http://dx.doi.org/10.2196/24179 UR - http://www.ncbi.nlm.nih.gov/pubmed/33877053 ID - info:doi/10.2196/24179 ER - TY - JOUR AU - Li, Yaning AU - Ye, Hongqiang AU - Ye, Fan AU - Liu, Yunsong AU - Lv, Longwei AU - Zhang, Ping AU - Zhang, Xiao AU - Zhou, Yongsheng PY - 2021/4/8 TI - The Current Situation and Future Prospects of Simulators in Dental Education JO - J Med Internet Res SP - e23635 VL - 23 IS - 4 KW - dental simulator KW - dental education KW - virtual reality UR - https://www.jmir.org/2021/4/e23635 UR - http://dx.doi.org/10.2196/23635 UR - http://www.ncbi.nlm.nih.gov/pubmed/33830059 ID - info:doi/10.2196/23635 ER - TY - JOUR AU - Davies, R. Alisha AU - Honeyman, Matthew AU - Gann, Bob PY - 2021/4/7 TI - Addressing the Digital Inverse Care Law in the Time of COVID-19: Potential for Digital Technology to Exacerbate or Mitigate Health Inequalities JO - J Med Internet Res SP - e21726 VL - 23 IS - 4 KW - COVID-19 KW - digital divide KW - digital exclusion KW - digital health KW - health inequality KW - population health UR - https://www.jmir.org/2021/4/e21726 UR - http://dx.doi.org/10.2196/21726 UR - http://www.ncbi.nlm.nih.gov/pubmed/33735096 ID - info:doi/10.2196/21726 ER - TY - JOUR AU - Kazevman, Gill AU - Mercado, Marck AU - Hulme, Jennifer AU - Somers, Andrea PY - 2021/4/6 TI - Prescribing Phones to Address Health Equity Needs in the COVID-19 Era: The PHONE-CONNECT Program JO - J Med Internet Res SP - e23914 VL - 23 IS - 4 KW - digital health equity KW - health inequity KW - digital determinants of health KW - emergency medicine KW - COVID-19 KW - public health KW - health policy KW - primary care KW - cell phone UR - https://www.jmir.org/2021/4/e23914 UR - http://dx.doi.org/10.2196/23914 UR - http://www.ncbi.nlm.nih.gov/pubmed/33760753 ID - info:doi/10.2196/23914 ER - TY - JOUR AU - Balcombe, Luke AU - De Leo, Diego PY - 2021/3/29 TI - Digital Mental Health Challenges and the Horizon Ahead for Solutions JO - JMIR Ment Health SP - e26811 VL - 8 IS - 3 KW - challenges KW - COVID-19 KW - digital mental health implementation KW - explainable artificial intelligence KW - hybrid model of care KW - human-computer interaction KW - resilience KW - technology UR - https://mental.jmir.org/2021/3/e26811 UR - http://dx.doi.org/10.2196/26811 UR - http://www.ncbi.nlm.nih.gov/pubmed/33779570 ID - info:doi/10.2196/26811 ER - TY - JOUR AU - Coetzee, Timothy AU - Ball, Price Mad AU - Boutin, Marc AU - Bronson, Abby AU - Dexter, T. David AU - English, A. Rebecca AU - Furlong, Patricia AU - Goodman, D. Andrew AU - Grossman, Cynthia AU - Hernandez, F. Adrian AU - Hinners, E. Jennifer AU - Hudson, Lynn AU - Kennedy, Annie AU - Marchisotto, Jane Mary AU - Matrisian, Lynn AU - Myers, Elizabeth AU - Nowell, Benjamin W. AU - Nosek, A. Brian AU - Sherer, Todd AU - Shore, Carolyn AU - Sim, Ida AU - Smolensky, Luba AU - Williams, Christopher AU - Wood, Julie AU - Terry, F. Sharon PY - 2021/3/29 TI - Data Sharing Goals for Nonprofit Funders of Clinical Trials JO - J Participat Med SP - e23011 VL - 13 IS - 1 KW - clinical trial KW - biomedical research KW - data sharing KW - patients UR - https://jopm.jmir.org/2021/1/e23011 UR - http://dx.doi.org/10.2196/23011 UR - http://www.ncbi.nlm.nih.gov/pubmed/33779573 ID - info:doi/10.2196/23011 ER - TY - JOUR AU - Martini, Mariano AU - Bragazzi, Luigi Nicola PY - 2021/3/26 TI - Googling for Neurological Disorders: From Seeking Health-Related Information to Patient Empowerment, Advocacy, and Open, Public Self-Disclosure in the Neurology 2.0 Era JO - J Med Internet Res SP - e13999 VL - 23 IS - 3 KW - advocacy KW - health information seeking KW - neurological disorders KW - open self-disclosure UR - https://www.jmir.org/2021/3/e13999 UR - http://dx.doi.org/10.2196/13999 UR - http://www.ncbi.nlm.nih.gov/pubmed/30946019 ID - info:doi/10.2196/13999 ER - TY - JOUR AU - Gesser-Edelsburg, Anat PY - 2021/3/15 TI - Using Narrative Evidence to Convey Health Information on Social Media: The Case of COVID-19 JO - J Med Internet Res SP - e24948 VL - 23 IS - 3 KW - health and risk communication KW - social media KW - narrative evidence KW - crisis KW - pandemic KW - misinformation KW - infodemic KW - infodemiology KW - COVID-19 KW - policy KW - segmentation KW - barrier reduction KW - role models KW - empathy and support KW - strengthening self/community-efficacy KW - coping tools KW - preventing stigmatization KW - at-risk populations KW - communicating uncertainty KW - positive deviance KW - tailor messaging KW - targeted behavioral change UR - https://www.jmir.org/2021/3/e24948 UR - http://dx.doi.org/10.2196/24948 UR - http://www.ncbi.nlm.nih.gov/pubmed/33674257 ID - info:doi/10.2196/24948 ER - TY - JOUR AU - Wang, Xuancong AU - Vouk, Nikola AU - Heaukulani, Creighton AU - Buddhika, Thisum AU - Martanto, Wijaya AU - Lee, Jimmy AU - Morris, JT Robert PY - 2021/3/15 TI - HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning JO - J Med Internet Res SP - e23984 VL - 23 IS - 3 KW - digital phenotyping KW - eHealth KW - mHealth KW - mobile phone KW - phenotype KW - data collection KW - outpatient monitoring KW - machine learning UR - https://www.jmir.org/2021/3/e23984 UR - http://dx.doi.org/10.2196/23984 UR - http://www.ncbi.nlm.nih.gov/pubmed/33720028 ID - info:doi/10.2196/23984 ER - TY - JOUR AU - Santus, Enrico AU - Marino, Nicola AU - Cirillo, Davide AU - Chersoni, Emmanuele AU - Montagud, Arnau AU - Santuccione Chadha, Antonella AU - Valencia, Alfonso AU - Hughes, Kevin AU - Lindvall, Charlotta PY - 2021/3/12 TI - Artificial Intelligence?Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development JO - J Med Internet Res SP - e22453 VL - 23 IS - 3 KW - COVID-19 KW - SARS-CoV-2 KW - artificial intelligence KW - personalized medicine KW - precision medicine KW - prevention KW - monitoring KW - epidemic KW - literature KW - public health KW - pandemic UR - https://www.jmir.org/2021/3/e22453 UR - http://dx.doi.org/10.2196/22453 UR - http://www.ncbi.nlm.nih.gov/pubmed/33560998 ID - info:doi/10.2196/22453 ER - TY - JOUR AU - Shepperd, A. James AU - Pogge, Gabrielle AU - Hunleth, M. Jean AU - Ruiz, Sienna AU - Waters, A. Erika PY - 2021/3/11 TI - Guidelines for Conducting Virtual Cognitive Interviews During a Pandemic JO - J Med Internet Res SP - e25173 VL - 23 IS - 3 KW - cognitive interview KW - COVID-19 KW - guidelines KW - teleresearch KW - pandemic KW - tablet computer KW - telehealth KW - training UR - https://www.jmir.org/2021/3/e25173 UR - http://dx.doi.org/10.2196/25173 UR - http://www.ncbi.nlm.nih.gov/pubmed/33577464 ID - info:doi/10.2196/25173 ER - TY - JOUR AU - Kohane, S. Isaac AU - Aronow, J. Bruce AU - Avillach, Paul AU - Beaulieu-Jones, K. Brett AU - Bellazzi, Riccardo AU - Bradford, L. Robert AU - Brat, A. Gabriel AU - Cannataro, Mario AU - Cimino, J. James AU - García-Barrio, Noelia AU - Gehlenborg, Nils AU - Ghassemi, Marzyeh AU - Gutiérrez-Sacristán, Alba AU - Hanauer, A. David AU - Holmes, H. John AU - Hong, Chuan AU - Klann, G. Jeffrey AU - Loh, Will Ne Hooi AU - Luo, Yuan AU - Mandl, D. Kenneth AU - Daniar, Mohamad AU - Moore, H. Jason AU - Murphy, N. Shawn AU - Neuraz, Antoine AU - Ngiam, Yuan Kee AU - Omenn, S. Gilbert AU - Palmer, Nathan AU - Patel, P. Lav AU - Pedrera-Jiménez, Miguel AU - Sliz, Piotr AU - South, M. Andrew AU - Tan, Min Amelia Li AU - Taylor, M. Deanne AU - Taylor, W. Bradley AU - Torti, Carlo AU - Vallejos, K. Andrew AU - Wagholikar, B. Kavishwar AU - AU - Weber, M. Griffin AU - Cai, Tianxi PY - 2021/3/2 TI - What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask JO - J Med Internet Res SP - e22219 VL - 23 IS - 3 KW - COVID-19 KW - electronic health records KW - real-world data KW - literature KW - publishing KW - quality KW - data quality KW - reporting standards KW - reporting checklist KW - review KW - statistics UR - https://www.jmir.org/2021/3/e22219 UR - http://dx.doi.org/10.2196/22219 UR - http://www.ncbi.nlm.nih.gov/pubmed/33600347 ID - info:doi/10.2196/22219 ER - TY - JOUR AU - Scheibner, James AU - Raisaro, Louis Jean AU - Troncoso-Pastoriza, Ramón Juan AU - Ienca, Marcello AU - Fellay, Jacques AU - Vayena, Effy AU - Hubaux, Jean-Pierre PY - 2021/2/25 TI - Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis JO - J Med Internet Res SP - e25120 VL - 23 IS - 2 KW - encryption KW - anonymization KW - pseudonymization KW - centralized approach KW - decentralized approach KW - federated approach KW - Interoperability KW - privacy KW - GDPR KW - General Data Protection Regulation KW - data privacy KW - data protection KW - ethics KW - research KW - data sharing KW - data governance KW - patient data privacy UR - https://www.jmir.org/2021/2/e25120 UR - http://dx.doi.org/10.2196/25120 UR - http://www.ncbi.nlm.nih.gov/pubmed/33629963 ID - info:doi/10.2196/25120 ER - TY - JOUR AU - Spinazze, Pier AU - Aardoom, Jiska AU - Chavannes, Niels AU - Kasteleyn, Marise PY - 2021/2/24 TI - The Computer Will See You Now: Overcoming Barriers to Adoption of Computer-Assisted History Taking (CAHT) in Primary Care JO - J Med Internet Res SP - e19306 VL - 23 IS - 2 KW - computer-assisted history taking KW - history taking KW - clinical consultation KW - digital health KW - electronic health record KW - patient-provided health information UR - https://www.jmir.org/2021/2/e19306 UR - http://dx.doi.org/10.2196/19306 UR - http://www.ncbi.nlm.nih.gov/pubmed/33625360 ID - info:doi/10.2196/19306 ER - TY - JOUR AU - Ishak, Affendi Shahrul AU - Din, Rosseni AU - Hasran, Azmah Umi PY - 2021/2/19 TI - Defining Digital Game-Based Learning for Science, Technology, Engineering, and Mathematics: A New Perspective on Design and Developmental Research JO - J Med Internet Res SP - e20537 VL - 23 IS - 2 KW - digital game-based learning KW - STEM digital game KW - game development model KW - game design KW - design and developmental research UR - http://www.jmir.org/2021/2/e20537/ UR - http://dx.doi.org/10.2196/20537 UR - http://www.ncbi.nlm.nih.gov/pubmed/33605885 ID - info:doi/10.2196/20537 ER - TY - JOUR AU - Desai, Varma Anjali AU - Michael, L. Chelsea AU - Kuperman, J. Gilad AU - Jordan, Gregory AU - Mittelstaedt, Haley AU - Epstein, S. Andrew AU - Connor, MaryAnn AU - B Villar, Paula Rika AU - Bernal, Camila AU - Kramer, Dana AU - Davis, Elizabeth Mary AU - Chen, Yuxiao AU - Malisse, Catherine AU - Markose, Gigi AU - Nelson, E. Judith PY - 2021/2/17 TI - A Novel Patient Values Tab for the Electronic Health Record: A User-Centered Design Approach JO - J Med Internet Res SP - e21615 VL - 23 IS - 2 KW - electronic health record KW - health informatics KW - supportive care KW - palliative care KW - oncology N2 - 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. UR - http://www.jmir.org/2021/2/e21615/ UR - http://dx.doi.org/10.2196/21615 UR - http://www.ncbi.nlm.nih.gov/pubmed/33595448 ID - info:doi/10.2196/21615 ER - TY - JOUR AU - Pham, Quynh AU - Gamble, Anissa AU - Hearn, Jason AU - Cafazzo, A. Joseph PY - 2021/2/10 TI - The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations JO - J Med Internet Res SP - e22320 VL - 23 IS - 2 KW - diabetes KW - artificial intelligence KW - digital health KW - ethnoracial equity KW - ethnicity KW - race UR - http://www.jmir.org/2021/2/e22320/ UR - http://dx.doi.org/10.2196/22320 UR - http://www.ncbi.nlm.nih.gov/pubmed/33565982 ID - info:doi/10.2196/22320 ER - TY - JOUR AU - Idrees, Mohammad Sheikh AU - Nowostawski, Mariusz AU - Jameel, Roshan PY - 2021/2/9 TI - Blockchain-Based Digital Contact Tracing Apps for COVID-19 Pandemic Management: Issues, Challenges, Solutions, and Future Directions JO - JMIR Med Inform SP - e25245 VL - 9 IS - 2 KW - COVID-19 KW - digital contact tracing KW - privacy preservation KW - security KW - blockchain technology KW - blockchain KW - privacy KW - contact tracing KW - app KW - surveillance UR - https://medinform.jmir.org/2021/2/e25245 UR - http://dx.doi.org/10.2196/25245 UR - http://www.ncbi.nlm.nih.gov/pubmed/33400677 ID - info:doi/10.2196/25245 ER - TY - JOUR AU - Benis, Arriel AU - Tamburis, Oscar AU - Chronaki, Catherine AU - Moen, Anne PY - 2021/2/5 TI - One Digital Health: A Unified Framework for Future Health Ecosystems JO - J Med Internet Res SP - e22189 VL - 23 IS - 2 KW - One Health KW - digital health KW - eHealth KW - medicine KW - veterinary medicine KW - environmental monitoring KW - education KW - patient engagement KW - citizen science KW - health care industry KW - population health management KW - data science KW - COVID-19 UR - http://www.jmir.org/2021/2/e22189/ UR - http://dx.doi.org/10.2196/22189 UR - http://www.ncbi.nlm.nih.gov/pubmed/33492240 ID - info:doi/10.2196/22189 ER - TY - JOUR AU - O'Connell, E. Megan AU - Vellani, Shirin AU - Robertson, Sheryl AU - O'Rourke, M. Hannah AU - McGilton, S. Kathy PY - 2021/1/27 TI - Going From Zero to 100 in Remote Dementia Research: A Practical Guide JO - J Med Internet Res SP - e24098 VL - 23 IS - 1 KW - COVID-19 KW - telehealth KW - videoconferencing KW - dementia KW - information communications technology UR - http://www.jmir.org/2021/1/e24098/ UR - http://dx.doi.org/10.2196/24098 UR - http://www.ncbi.nlm.nih.gov/pubmed/33468448 ID - info:doi/10.2196/24098 ER - TY - JOUR AU - Guinez-Molinos, Sergio AU - Gonzalez Díaz, Jaime AU - Gomar Sancho, Carmen AU - Espinoza, Paulina AU - Constenla, Gustavo PY - 2021/1/26 TI - A Web Platform (MOSAICO) to Design, Perform, and Assess Collaborative Clinical Scenarios for Medical Students: Viewpoint JO - JMIR Med Educ SP - e23370 VL - 7 IS - 1 KW - collaborative clinical simulation KW - electronic simulation record KW - medical students KW - medical education KW - MOSAICO N2 - 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 Universität 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. UR - http://mededu.jmir.org/2021/1/e23370/ UR - http://dx.doi.org/10.2196/23370 UR - http://www.ncbi.nlm.nih.gov/pubmed/33496676 ID - info:doi/10.2196/23370 ER - TY - JOUR AU - Laur, Violet Celia AU - Agarwal, Payal AU - Mukerji, Geetha AU - Goulbourne, Elaine AU - Baranek, Hayley AU - Pus, Laura AU - Bhatia, Sacha R. AU - Martin, Danielle AU - Bhattacharyya, Onil PY - 2021/1/13 TI - Building Health Services in a Rapidly Changing Landscape: Lessons in Adaptive Leadership and Pivots in a COVID-19 Remote Monitoring Program JO - J Med Internet Res SP - e25507 VL - 23 IS - 1 KW - adaptive leadership KW - pivots KW - acute care KW - COVID-19 KW - leadership KW - remote monitoring KW - monitoring KW - health service KW - framework UR - http://www.jmir.org/2021/1/e25507/ UR - http://dx.doi.org/10.2196/25507 UR - http://www.ncbi.nlm.nih.gov/pubmed/33417588 ID - info:doi/10.2196/25507 ER - TY - JOUR AU - Petracca, Francesco AU - Ciani, Oriana AU - Cucciniello, Maria AU - Tarricone, Rosanna PY - 2020/12/30 TI - Harnessing Digital Health Technologies During and After the COVID-19 Pandemic: Context Matters JO - J Med Internet Res SP - e21815 VL - 22 IS - 12 KW - mobile apps KW - coronavirus KW - COVID-19 KW - digital health KW - mHealth KW - organizational context KW - public health KW - telemedicine UR - http://www.jmir.org/2020/12/e21815/ UR - http://dx.doi.org/10.2196/21815 UR - http://www.ncbi.nlm.nih.gov/pubmed/33351777 ID - info:doi/10.2196/21815 ER - TY - JOUR AU - Steeb, Theresa AU - Follmann, Markus AU - Hagen, Matthias Ralf AU - Berking, Carola AU - Heppt, Vincent Markus PY - 2020/12/29 TI - Implications of the COVID-19 Pandemic for the Development and Update of Clinical Practice Guidelines: Viewpoint JO - J Med Internet Res SP - e20064 VL - 22 IS - 12 KW - practice guideline KW - consensus development conference KW - guideline KW - videoconferencing KW - clinical practice KW - COVID-19 KW - pandemic KW - public health KW - policy KW - decision making KW - online conference UR - http://www.jmir.org/2020/12/e20064/ UR - http://dx.doi.org/10.2196/20064 UR - http://www.ncbi.nlm.nih.gov/pubmed/33347419 ID - info:doi/10.2196/20064 ER - TY - JOUR AU - Hansen, Gregory AU - Cyr, Amelie PY - 2020/12/23 TI - Canada?s Decentralized ?Human-Driven? Approach During the Early COVID-19 Pandemic JO - JMIR Public Health Surveill SP - e20343 VL - 6 IS - 4 KW - COVID-19 KW - coronavirus infection KW - public health UR - http://publichealth.jmir.org/2020/4/e20343/ UR - http://dx.doi.org/10.2196/20343 UR - http://www.ncbi.nlm.nih.gov/pubmed/33315582 ID - info:doi/10.2196/20343 ER - TY - JOUR AU - Parsons, Thomas AU - Duffield, Tyler PY - 2020/12/16 TI - Paradigm Shift Toward Digital Neuropsychology and High-Dimensional Neuropsychological Assessments: Review JO - J Med Internet Res SP - e23777 VL - 22 IS - 12 KW - neuropsychology KW - technology KW - informatics KW - machine learning KW - big data KW - virtual reality KW - smartphone KW - mobile phone UR - http://www.jmir.org/2020/12/e23777/ UR - http://dx.doi.org/10.2196/23777 UR - http://www.ncbi.nlm.nih.gov/pubmed/33325829 ID - info:doi/10.2196/23777 ER - TY - JOUR AU - Uscher-Pines, Lori AU - Thompson, James AU - Taylor, Prentiss AU - Dean, Kristin AU - Yuan, Tony AU - Tong, Ian AU - Mehrotra, Ateev PY - 2020/12/15 TI - Where Virtual Care Was Already a Reality: Experiences of a Nationwide Telehealth Service Provider During the COVID-19 Pandemic JO - J Med Internet Res SP - e22727 VL - 22 IS - 12 KW - telehealth KW - telemedicine KW - COVID-19 KW - pandemic KW - infectious disease KW - virus KW - United States N2 - 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. UR - https://www.jmir.org/2020/12/e22727 UR - http://dx.doi.org/10.2196/22727 UR - http://www.ncbi.nlm.nih.gov/pubmed/33112761 ID - info:doi/10.2196/22727 ER - TY - JOUR AU - Davenport, A. Tracey AU - Cheng, Sze Vanessa Wan AU - Iorfino, Frank AU - Hamilton, Blake AU - Castaldi, Eva AU - Burton, Amy AU - Scott, M. Elizabeth AU - Hickie, B. Ian PY - 2020/12/15 TI - Flip the Clinic: A Digital Health Approach to Youth Mental Health Service Delivery During the COVID-19 Pandemic and Beyond JO - JMIR Ment Health SP - e24578 VL - 7 IS - 12 KW - health information technologies KW - clinical staging KW - youth KW - mental health KW - transdiagnostic KW - eHealth KW - routine outcome monitoring KW - adolescent KW - mental health services KW - health services KW - telemedicine KW - monitoring KW - outcome KW - young adult KW - COVID-19 UR - http://mental.jmir.org/2020/12/e24578/ UR - http://dx.doi.org/10.2196/24578 UR - http://www.ncbi.nlm.nih.gov/pubmed/33206051 ID - info:doi/10.2196/24578 ER - TY - JOUR AU - Gordon, J. William AU - Mandl, D. Kenneth PY - 2020/12/11 TI - The 21st Century Cures Act: A Competitive Apps Market and the Risk of Innovation Blocking JO - J Med Internet Res SP - e24824 VL - 22 IS - 12 KW - interoperability KW - application programming interfaces KW - SMART on FHIR KW - health information KW - patient records KW - digital infrastructure KW - digital KW - app ecosystem UR - http://www.jmir.org/2020/12/e24824/ UR - http://dx.doi.org/10.2196/24824 UR - http://www.ncbi.nlm.nih.gov/pubmed/33306034 ID - info:doi/10.2196/24824 ER - TY - JOUR AU - Zhang, Melvyn AU - Chow, Aloysius AU - Smith, Helen PY - 2020/12/3 TI - COVID-19 Contact-Tracing Apps: Analysis of the Readability of Privacy Policies JO - J Med Internet Res SP - e21572 VL - 22 IS - 12 KW - COVID-19 KW - smartphone apps KW - contact tracing KW - privacy policy KW - readability KW - app KW - privacy KW - surveillance UR - https://www.jmir.org/2020/12/e21572 UR - http://dx.doi.org/10.2196/21572 UR - http://www.ncbi.nlm.nih.gov/pubmed/33170798 ID - info:doi/10.2196/21572 ER - TY - JOUR AU - Nakamoto, Ichiro AU - Jiang, Ming AU - Zhang, Jilin AU - Zhuang, Weiqing AU - Guo, Yan AU - Jin, Ming-Hui AU - Huang, Yi AU - Tang, Kuotai PY - 2020/12/1 TI - Evaluation of the Design and Implementation of a Peer-To-Peer COVID-19 Contact Tracing Mobile App (COCOA) in Japan JO - JMIR Mhealth Uhealth SP - e22098 VL - 8 IS - 12 KW - COVID-19 KW - contact tracing KW - mobile app KW - peer-to-peer KW - Bluetooth-based KW - telehealth KW - privacy protection KW - load balancing KW - close contact KW - decentralized UR - https://mhealth.jmir.org/2020/12/e22098 UR - http://dx.doi.org/10.2196/22098 UR - http://www.ncbi.nlm.nih.gov/pubmed/33170801 ID - info:doi/10.2196/22098 ER - TY - JOUR AU - Hyder, A. Maryam AU - Razzak, Junaid PY - 2020/11/24 TI - Telemedicine in the United States: An Introduction for Students and Residents JO - J Med Internet Res SP - e20839 VL - 22 IS - 11 KW - telemedicine KW - telehealth KW - eHealth KW - biomedical technology KW - mHealth KW - mobile health KW - COVID-19 UR - http://www.jmir.org/2020/11/e20839/ UR - http://dx.doi.org/10.2196/20839 UR - http://www.ncbi.nlm.nih.gov/pubmed/33215999 ID - info:doi/10.2196/20839 ER - TY - JOUR AU - Hamidian Jahromi, Alireza AU - Arnautovic, Alisa AU - Konofaos, Petros PY - 2020/11/17 TI - Impact of the COVID-19 Pandemic on the Education of Plastic Surgery Trainees in the United States JO - JMIR Med Educ SP - e22045 VL - 6 IS - 2 KW - COVID-19 KW - coronavirus KW - education KW - plastic surgery residency KW - plastic surgery fellowship KW - surgery residency KW - impact KW - trainee UR - http://mededu.jmir.org/2020/2/e22045/ UR - http://dx.doi.org/10.2196/22045 UR - http://www.ncbi.nlm.nih.gov/pubmed/33119537 ID - info:doi/10.2196/22045 ER - TY - JOUR AU - Burke, Colin AU - Bloss, Cinnamon PY - 2020/11/12 TI - Social Media Surveillance in Schools: Rethinking Public Health Interventions in the Digital Age JO - J Med Internet Res SP - e22612 VL - 22 IS - 11 KW - social media KW - surveillance KW - privacy KW - public health KW - students KW - schools KW - social media surveillance KW - school safety KW - mental health KW - adolescents UR - http://www.jmir.org/2020/11/e22612/ UR - http://dx.doi.org/10.2196/22612 UR - http://www.ncbi.nlm.nih.gov/pubmed/33179599 ID - info:doi/10.2196/22612 ER - TY - JOUR AU - Kelly, T. Jaimon AU - Campbell, L. Katrina AU - Gong, Enying AU - Scuffham, Paul PY - 2020/11/10 TI - The Internet of Things: Impact and Implications for Health Care Delivery JO - J Med Internet Res SP - e20135 VL - 22 IS - 11 KW - Internet of Things KW - digital health KW - smartphone KW - delivery of health care KW - mobile phone UR - http://www.jmir.org/2020/11/e20135/ UR - http://dx.doi.org/10.2196/20135 UR - http://www.ncbi.nlm.nih.gov/pubmed/33170132 ID - info:doi/10.2196/20135 ER - TY - JOUR AU - Lu, Lin AU - Zhang, Jiayao AU - Xie, Yi AU - Gao, Fei AU - Xu, Song AU - Wu, Xinghuo AU - Ye, Zhewei PY - 2020/11/9 TI - Wearable Health Devices in Health Care: Narrative Systematic Review JO - JMIR Mhealth Uhealth SP - e18907 VL - 8 IS - 11 KW - wearable KW - medical field KW - public health KW - health monitoring KW - chronic disease management KW - rehabilitation. N2 - 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. UR - http://mhealth.jmir.org/2020/11/e18907/ UR - http://dx.doi.org/10.2196/18907 UR - http://www.ncbi.nlm.nih.gov/pubmed/33164904 ID - info:doi/10.2196/18907 ER - TY - JOUR AU - Shah, Sarwar Syed Ghulam AU - Nogueras, David AU - van Woerden, Cornelis Hugo AU - Kiparoglou, Vasiliki PY - 2020/11/5 TI - The COVID-19 Pandemic: A Pandemic of Lockdown Loneliness and the Role of Digital Technology JO - J Med Internet Res SP - e22287 VL - 22 IS - 11 KW - COVID-19 KW - coronavirus KW - pandemic KW - social isolation KW - loneliness KW - lockdown KW - social distancing KW - digital technology KW - social connectedness KW - social networking KW - online digital tools UR - http://www.jmir.org/2020/11/e22287/ UR - http://dx.doi.org/10.2196/22287 UR - http://www.ncbi.nlm.nih.gov/pubmed/33108313 ID - info:doi/10.2196/22287 ER - TY - JOUR AU - Rahman, Protiva AU - Nandi, Arnab AU - Hebert, Courtney PY - 2020/11/5 TI - Amplifying Domain Expertise in Clinical Data Pipelines JO - JMIR Med Inform SP - e19612 VL - 8 IS - 11 KW - review KW - data analysis KW - data science KW - clinical informatics UR - https://medinform.jmir.org/2020/11/e19612 UR - http://dx.doi.org/10.2196/19612 UR - http://www.ncbi.nlm.nih.gov/pubmed/33151150 ID - info:doi/10.2196/19612 ER - TY - JOUR AU - Harrison, Conrad AU - Loe, Sheng Bao AU - Lis, Przemys?aw AU - Sidey-Gibbons, Chris PY - 2020/10/29 TI - Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning JO - J Med Internet Res SP - e20950 VL - 22 IS - 10 KW - computerized adaptive testing KW - computerized adaptive test KW - CAT KW - machine learning KW - patient reported outcome measures KW - outcome assessment KW - Concerto UR - http://www.jmir.org/2020/10/e20950/ UR - http://dx.doi.org/10.2196/20950 UR - http://www.ncbi.nlm.nih.gov/pubmed/33118937 ID - info:doi/10.2196/20950 ER - TY - JOUR AU - Shaw, Ryan AU - Stroo, Marissa AU - Fiander, Christopher AU - McMillan, Katlyn PY - 2020/10/28 TI - Selecting Mobile Health Technologies for Electronic Health Record Integration: Case Study JO - J Med Internet Res SP - e23314 VL - 22 IS - 10 KW - mobile health KW - mHealth KW - electronic health record KW - health technology KW - mobile phone UR - http://www.jmir.org/2020/10/e23314/ UR - http://dx.doi.org/10.2196/23314 UR - http://www.ncbi.nlm.nih.gov/pubmed/33112248 ID - info:doi/10.2196/23314 ER - TY - JOUR AU - Cadoret, Danielle AU - Kailas, Tamara AU - Velmovitsky, Pedro AU - Morita, Plinio AU - Igboeli, Okechukwu PY - 2020/10/23 TI - Proposed Implementation of Blockchain in British Columbia?s Health Care Data Management JO - J Med Internet Res SP - e20897 VL - 22 IS - 10 KW - blockchain KW - electronic medical records KW - health data management KW - patient centric N2 - 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. UR - http://www.jmir.org/2020/10/e20897/ UR - http://dx.doi.org/10.2196/20897 UR - http://www.ncbi.nlm.nih.gov/pubmed/33095183 ID - info:doi/10.2196/20897 ER - TY - JOUR AU - Casillas, Alejandra AU - Abhat, Anshu AU - Mahajan, Anish AU - Moreno, Gerardo AU - Brown, F. Arleen AU - Simmons, Sara AU - Szilagyi, Peter PY - 2020/10/23 TI - Portals of Change: How Patient Portals Will Ultimately Work for Safety Net Populations JO - J Med Internet Res SP - e16835 VL - 22 IS - 10 KW - patient portal KW - safety net KW - health disparities KW - digital divide UR - https://www.jmir.org/2020/10/e16835 UR - http://dx.doi.org/10.2196/16835 UR - http://www.ncbi.nlm.nih.gov/pubmed/33094732 ID - info:doi/10.2196/16835 ER - TY - JOUR AU - Yordanov, Youri AU - Dechartres, Agnes AU - Lescure, Xavier AU - Apra, Caroline AU - Villie, Pascaline AU - Marchand-Arvier, Jerome AU - Debuc, Erwan AU - Dinh, Aurélien AU - Jourdain, Patrick AU - PY - 2020/10/22 TI - Covidom, a Telesurveillance Solution for Home Monitoring Patients With COVID-19 JO - J Med Internet Res SP - e20748 VL - 22 IS - 10 KW - COVID-19 KW - coronavirus disease KW - home monitoring KW - telesurveillance KW - monitoring KW - patient KW - infectious disease KW - app UR - http://www.jmir.org/2020/10/e20748/ UR - http://dx.doi.org/10.2196/20748 UR - http://www.ncbi.nlm.nih.gov/pubmed/33006938 ID - info:doi/10.2196/20748 ER - TY - JOUR AU - Dula, Nicole Adrienne AU - Gealogo Brown, Gretchel AU - Aggarwal, Aarushi AU - Clark, L. Kal PY - 2020/10/21 TI - Decrease in Stroke Diagnoses During the COVID-19 Pandemic: Where Did All Our Stroke Patients Go? JO - JMIR Aging SP - e21608 VL - 3 IS - 2 KW - stroke KW - ischemic stroke KW - COVID-19 KW - SARS-CoV-2 KW - emergency medicine KW - cerebrovascular UR - http://aging.jmir.org/2020/2/e21608/ UR - http://dx.doi.org/10.2196/21608 UR - http://www.ncbi.nlm.nih.gov/pubmed/33006936 ID - info:doi/10.2196/21608 ER - TY - JOUR AU - Serlachius, Anna AU - Badawy, M. Sherif AU - Thabrew, Hiran PY - 2020/10/12 TI - Psychosocial Challenges and Opportunities for Youth With Chronic Health Conditions During the COVID-19 Pandemic JO - JMIR Pediatr Parent SP - e23057 VL - 3 IS - 2 KW - COVID-19 KW - coronavirus KW - pandemic KW - chronic illness KW - youth KW - adolescents KW - children KW - psychosocial KW - anxiety UR - http://pediatrics.jmir.org/2020/2/e23057/ UR - http://dx.doi.org/10.2196/23057 UR - http://www.ncbi.nlm.nih.gov/pubmed/33001834 ID - info:doi/10.2196/23057 ER - TY - JOUR AU - Stull, W. Samuel AU - McKnight, R. Erin AU - Bonny, E. Andrea PY - 2020/10/9 TI - Patient and Clinician Perspectives on Adolescent Opioid Use Disorder Treatment During a Pandemic: One Step Back, but Two Forward? JO - JMIR Pediatr Parent SP - e23463 VL - 3 IS - 2 KW - adolescent KW - opioid use disorder KW - treatment KW - telehealth KW - drug KW - perspective KW - opioid KW - COVID-19 KW - young adult UR - http://pediatrics.jmir.org/2020/2/e23463/ UR - http://dx.doi.org/10.2196/23463 UR - http://www.ncbi.nlm.nih.gov/pubmed/33016885 ID - info:doi/10.2196/23463 ER - TY - JOUR AU - Giunti, Guido AU - Goossens, Richard AU - De Bont, Antoinette AU - Visser, J. Jacob AU - Mulder, Mark AU - Schuit, E. Stephanie C. PY - 2020/10/5 TI - The Need for Sustainable Teleconsultation Systems in the Aftermath of the First COVID-19 Wave JO - J Med Internet Res SP - e21211 VL - 22 IS - 10 KW - telemedicine KW - COVID-19 KW - telehealth KW - teleconsultation KW - exposure KW - software KW - digital health KW - organization UR - http://www.jmir.org/2020/10/e21211/ UR - http://dx.doi.org/10.2196/21211 UR - http://www.ncbi.nlm.nih.gov/pubmed/32997642 ID - info:doi/10.2196/21211 ER - TY - JOUR AU - Salisbury, Chris AU - Quigley, Anna AU - Hex, Nick AU - Aznar, Camille PY - 2020/10/1 TI - Private Video Consultation Services and the Future of Primary Care JO - J Med Internet Res SP - e19415 VL - 22 IS - 10 KW - remote consultation KW - primary health care KW - general practice KW - delivery of health care KW - access to health care KW - mobile phone UR - https://www.jmir.org/2020/10/e19415 UR - http://dx.doi.org/10.2196/19415 UR - http://www.ncbi.nlm.nih.gov/pubmed/32812887 ID - info:doi/10.2196/19415 ER - TY - JOUR AU - Williams, Meilee Christina AU - Chaturvedi, Rahul AU - Chakravarthy, Krishnan PY - 2020/9/17 TI - Cybersecurity Risks in a Pandemic JO - J Med Internet Res SP - e23692 VL - 22 IS - 9 KW - cybersecurity KW - pandemic KW - COVID-19 KW - SARS-CoV-2 KW - risk KW - privacy KW - hack KW - patient data UR - http://www.jmir.org/2020/9/e23692/ UR - http://dx.doi.org/10.2196/23692 UR - http://www.ncbi.nlm.nih.gov/pubmed/32897869 ID - info:doi/10.2196/23692 ER - TY - JOUR AU - He, Zonglin AU - Zhang, P. Casper J. AU - Huang, Jian AU - Zhai, Jingyan AU - Zhou, Shuang AU - Chiu, Wai-Ting Joyce AU - Sheng, Jie AU - Tsang, Winghei AU - Akinwunmi, O. Babatunde AU - Ming, Wai-Kit PY - 2020/9/17 TI - A New Era of Epidemiology: Digital Epidemiology for Investigating the COVID-19 Outbreak in China JO - J Med Internet Res SP - e21685 VL - 22 IS - 9 KW - digital epidemiology KW - COVID-19 KW - risk KW - control KW - public health KW - epidemiology KW - China KW - outbreak KW - case study UR - https://www.jmir.org/2020/9/e21685 UR - http://dx.doi.org/10.2196/21685 UR - http://www.ncbi.nlm.nih.gov/pubmed/32805703 ID - info:doi/10.2196/21685 ER - TY - JOUR AU - Gaynor, Mark AU - Tuttle-Newhall, Janet AU - Parker, Jessica AU - Patel, Arti AU - Tang, Clare PY - 2020/9/17 TI - Adoption of Blockchain in Health Care JO - J Med Internet Res SP - e17423 VL - 22 IS - 9 KW - blockchain adoption KW - blockchain technology in health care KW - supply chain KW - data management UR - https://www.jmir.org/2020/9/e17423 UR - http://dx.doi.org/10.2196/17423 UR - http://www.ncbi.nlm.nih.gov/pubmed/32940618 ID - info:doi/10.2196/17423 ER - TY - JOUR AU - Yom-Tov, Elad AU - Cherlow, Yuval PY - 2020/9/16 TI - Ethical Challenges and Opportunities Associated With the Ability to Perform Medical Screening From Interactions With Search Engines: Viewpoint JO - J Med Internet Res SP - e21922 VL - 22 IS - 9 KW - search engines KW - diagnosis KW - screening UR - http://www.jmir.org/2020/9/e21922/ UR - http://dx.doi.org/10.2196/21922 UR - http://www.ncbi.nlm.nih.gov/pubmed/32936082 ID - info:doi/10.2196/21922 ER - TY - JOUR AU - Cresswell, Kathrin AU - Sheikh, Aziz PY - 2020/9/15 TI - Can Disinfection Robots Reduce the Risk of Transmission of SARS-CoV-2 in Health Care and Educational Settings? JO - J Med Internet Res SP - e20896 VL - 22 IS - 9 KW - robotics KW - disinfection KW - SARS-CoV-2 KW - COVID-19 KW - risk KW - transmission KW - virus UR - http://www.jmir.org/2020/9/e20896/ UR - http://dx.doi.org/10.2196/20896 UR - http://www.ncbi.nlm.nih.gov/pubmed/32903196 ID - info:doi/10.2196/20896 ER - TY - JOUR AU - Bhatia, Abhishek AU - Matthan, Rahul AU - Khanna, Tarun AU - Balsari, Satchit PY - 2020/9/15 TI - Regulatory Sandboxes: A Cure for mHealth Pilotitis? JO - J Med Internet Res SP - e21276 VL - 22 IS - 9 KW - COVID-19 KW - mHealth KW - digital health KW - design thinking KW - regulation KW - intervention KW - regulatory sandbox UR - http://www.jmir.org/2020/9/e21276/ UR - http://dx.doi.org/10.2196/21276 UR - http://www.ncbi.nlm.nih.gov/pubmed/32763889 ID - info:doi/10.2196/21276 ER - TY - JOUR AU - Tan, Marissa AU - Hatef, Elham AU - Taghipour, Delaram AU - Vyas, Kinjel AU - Kharrazi, Hadi AU - Gottlieb, Laura AU - Weiner, Jonathan PY - 2020/9/8 TI - Including Social and Behavioral Determinants in Predictive Models: Trends, Challenges, and Opportunities JO - JMIR Med Inform SP - e18084 VL - 8 IS - 9 KW - social determinants of health KW - information technology KW - health care disparities KW - population health UR - http://medinform.jmir.org/2020/9/e18084/ UR - http://dx.doi.org/10.2196/18084 UR - http://www.ncbi.nlm.nih.gov/pubmed/32897240 ID - info:doi/10.2196/18084 ER - TY - JOUR AU - Silven, V. Anna AU - Petrus, J. Annelieke H. AU - Villalobos-Quesada, María AU - Dirikgil, Ebru AU - Oerlemans, R. Carlijn AU - Landstra, P. Cyril AU - Boosman, Hileen AU - van Os, A. Hendrikus J. AU - Blanker, H. Marco AU - Treskes, W. Roderick AU - Bonten, N. Tobias AU - Chavannes, H. Niels AU - Atsma, E. Douwe AU - Teng, Onno Y. K. PY - 2020/9/2 TI - Telemonitoring for Patients With COVID-19: Recommendations for Design and Implementation JO - J Med Internet Res SP - e20953 VL - 22 IS - 9 KW - telemonitoring KW - telemedicine KW - eHealth KW - digital health KW - COVID-19 UR - https://www.jmir.org/2020/9/e20953 UR - http://dx.doi.org/10.2196/20953 UR - http://www.ncbi.nlm.nih.gov/pubmed/32833660 ID - info:doi/10.2196/20953 ER - TY - JOUR AU - Savage, Mark AU - Savage, Clara Lucia PY - 2020/9/2 TI - Doctors Routinely Share Health Data Electronically Under HIPAA, and Sharing With Patients and Patients? Third-Party Health Apps is Consistent: Interoperability and Privacy Analysis JO - J Med Internet Res SP - e19818 VL - 22 IS - 9 KW - digital health KW - privacy KW - interoperability KW - mobile phone, smartphone KW - electronic health records KW - EHR KW - patient access KW - patient engagement KW - Health Insurance Portability and Accountability Act KW - HIPAA KW - Health Information Technology for Economic and Clinical Health Act KW - HITECH KW - covered entity KW - business associate KW - protected health information KW - PHI KW - digital health applications KW - apps UR - https://www.jmir.org/2020/9/e19818 UR - http://dx.doi.org/10.2196/19818 UR - http://www.ncbi.nlm.nih.gov/pubmed/32876582 ID - info:doi/10.2196/19818 ER - TY - JOUR AU - Hassounah, Marwah AU - Raheel, Hafsa AU - Alhefzi, Mohammed PY - 2020/9/1 TI - Digital Response During the COVID-19 Pandemic in Saudi Arabia JO - J Med Internet Res SP - e19338 VL - 22 IS - 9 KW - digital response KW - COVID-19 KW - Saudi Arabia KW - digital health KW - containment KW - public health KW - pandemic KW - prevention N2 - 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. UR - https://www.jmir.org/2020/9/e19338 UR - http://dx.doi.org/10.2196/19338 UR - http://www.ncbi.nlm.nih.gov/pubmed/32790642 ID - info:doi/10.2196/19338 ER - TY - JOUR AU - Quinn, M. Lauren AU - Davies, J. Melanie AU - Hadjiconstantinou, Michelle PY - 2020/8/28 TI - Virtual Consultations and the Role of Technology During the COVID-19 Pandemic for People With Type 2 Diabetes: The UK Perspective JO - J Med Internet Res SP - e21609 VL - 22 IS - 8 KW - diabetes KW - virtual clinic KW - technology KW - COVID-19 KW - United Kingdom KW - pandemic KW - feasibility KW - effective KW - telehealth UR - http://www.jmir.org/2020/8/e21609/ UR - http://dx.doi.org/10.2196/21609 UR - http://www.ncbi.nlm.nih.gov/pubmed/32716898 ID - info:doi/10.2196/21609 ER - TY - JOUR AU - Jimenez, Geronimo AU - Tyagi, Shilpa AU - Osman, Tarig AU - Spinazze, Pier AU - van der Kleij, Rianne AU - Chavannes, H. Niels AU - Car, Josip PY - 2020/8/28 TI - Improving the Primary Care Consultation for Diabetes and Depression Through Digital Medical Interview Assistant Systems: Narrative Review JO - J Med Internet Res SP - e18109 VL - 22 IS - 8 KW - digital medical interview assistant, computer-assisted history taking KW - primary care KW - chronic conditions N2 - 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. UR - http://www.jmir.org/2020/8/e18109/ UR - http://dx.doi.org/10.2196/18109 UR - http://www.ncbi.nlm.nih.gov/pubmed/32663144 ID - info:doi/10.2196/18109 ER - TY - JOUR AU - Bendtsen, Marcus PY - 2020/8/27 TI - The P Value Line Dance: When Does the Music Stop? JO - J Med Internet Res SP - e21345 VL - 22 IS - 8 KW - sample size KW - randomized controlled trial KW - Bayesian analysis KW - P value KW - dichotomization KW - dichotomy KW - error KW - uncertainty UR - http://www.jmir.org/2020/8/e21345/ UR - http://dx.doi.org/10.2196/21345 UR - http://www.ncbi.nlm.nih.gov/pubmed/32852275 ID - info:doi/10.2196/21345 ER - TY - JOUR AU - Nemetz, Anne Elisheva Tamar AU - Urbach, Robert David AU - Devon, Michelle Karen PY - 2020/8/27 TI - The Art of Surgery: Balancing Compassionate With Virtual Care JO - J Med Internet Res SP - e22417 VL - 22 IS - 8 KW - bioethics KW - medical ethics KW - virtual care KW - telehealth KW - virtual care in surgery KW - video care in surgery KW - telehealth in surgery KW - surgical communication KW - COVID-19 and virtual care KW - consent KW - privacy KW - medical education KW - surgery UR - http://www.jmir.org/2020/8/e22417/ UR - http://dx.doi.org/10.2196/22417 UR - http://www.ncbi.nlm.nih.gov/pubmed/32852276 ID - info:doi/10.2196/22417 ER - TY - JOUR AU - Kardas, Przemyslaw AU - Aguilar-Palacio, Isabel AU - Almada, Marta AU - Cahir, Caitriona AU - Costa, Elisio AU - Giardini, Anna AU - Malo, Sara AU - Massot Mesquida, Mireia AU - Menditto, Enrica AU - Midăo, Luís AU - Parra-Calderón, Luis Carlos AU - Pepiol Salom, Enrique AU - Vrijens, Bernard PY - 2020/8/27 TI - The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint JO - J Med Internet Res SP - e18150 VL - 22 IS - 8 KW - patient adherence KW - big data KW - metrics KW - consensus UR - http://www.jmir.org/2020/8/e18150/ UR - http://dx.doi.org/10.2196/18150 UR - http://www.ncbi.nlm.nih.gov/pubmed/32663138 ID - info:doi/10.2196/18150 ER - TY - JOUR AU - Lee, Joon PY - 2020/8/26 TI - Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes? JO - J Med Internet Res SP - e19918 VL - 22 IS - 8 KW - patient outcome prediction KW - artificial intelligence KW - machine learning KW - human-generated predictions KW - human-AI symbiosis UR - http://www.jmir.org/2020/8/e19918/ UR - http://dx.doi.org/10.2196/19918 UR - http://www.ncbi.nlm.nih.gov/pubmed/32845249 ID - info:doi/10.2196/19918 ER - TY - JOUR AU - Schaub, Patrick Michael AU - Berman, H. Anne AU - López Pelayo, Hugo AU - Boumparis, Nikolaos AU - Khadjesari, Zarnie AU - Blankers, Matthijs AU - Gual, Antoni AU - Riper, Heleen AU - Pas, Lodewijk PY - 2020/8/14 TI - e-INEBRIA Special Interest Group Roadmap for Best Practices for Research on Brief Digital Interventions for Problematic Alcohol and Illicit Drug Use JO - J Med Internet Res SP - e20368 VL - 22 IS - 8 KW - brief interventions KW - mobile applications KW - good practice KW - implementation research KW - quality assurance UR - http://www.jmir.org/2020/8/e20368/ UR - http://dx.doi.org/10.2196/20368 UR - http://www.ncbi.nlm.nih.gov/pubmed/32586786 ID - info:doi/10.2196/20368 ER - TY - JOUR AU - Saleh, Shadi AU - El Arnaout, Nour AU - Abdouni, Lina AU - Jammoul, Zeinab AU - Hachach, Noha AU - Dasgupta, Amlan PY - 2020/8/13 TI - Sijilli: A Scalable Model of Cloud-Based Electronic Health Records for Migrating Populations in Low-Resource Settings JO - J Med Internet Res SP - e18183 VL - 22 IS - 8 KW - eHealth KW - digital health KW - innovation KW - refugees KW - low- and middle-income countries KW - technology UR - http://www.jmir.org/2020/8/e18183/ UR - http://dx.doi.org/10.2196/18183 UR - http://www.ncbi.nlm.nih.gov/pubmed/32788145 ID - info:doi/10.2196/18183 ER - TY - JOUR AU - Cresswell, Kathrin AU - Ramalingam, Sandeep AU - Sheikh, Aziz PY - 2020/8/12 TI - Can Robots Improve Testing Capacity for SARS-CoV-2? JO - J Med Internet Res SP - e20169 VL - 22 IS - 8 KW - robotics KW - testing KW - SARS-CoV-2 KW - COVID-19 KW - pandemic KW - virus KW - infectious disease UR - http://www.jmir.org/2020/8/e20169/ UR - http://dx.doi.org/10.2196/20169 UR - http://www.ncbi.nlm.nih.gov/pubmed/32735547 ID - info:doi/10.2196/20169 ER - TY - JOUR AU - Cahan, M. Eli AU - Khatri, Purvesh PY - 2020/8/12 TI - Data Heterogeneity: The Enzyme to Catalyze Translational Bioinformatics? JO - J Med Internet Res SP - e18044 VL - 22 IS - 8 KW - medical Informatics KW - health equity KW - health care disparities KW - population health KW - quality improvement KW - precision medicine UR - https://www.jmir.org/2020/8/e18044 UR - http://dx.doi.org/10.2196/18044 UR - http://www.ncbi.nlm.nih.gov/pubmed/32784182 ID - info:doi/10.2196/18044 ER - TY - JOUR AU - Steele Gray, Carolyn PY - 2020/7/29 TI - Seeking Meaningful Innovation: Lessons Learned Developing, Evaluating, and Implementing the Electronic Patient-Reported Outcome Tool JO - J Med Internet Res SP - e17987 VL - 22 IS - 7 KW - digital health KW - implementation KW - meaningfulness UR - http://www.jmir.org/2020/7/e17987/ UR - http://dx.doi.org/10.2196/17987 UR - http://www.ncbi.nlm.nih.gov/pubmed/32723725 ID - info:doi/10.2196/17987 ER - TY - JOUR AU - Suver, Christine AU - Thorogood, Adrian AU - Doerr, Megan AU - Wilbanks, John AU - Knoppers, Bartha PY - 2020/7/28 TI - Bringing Code to Data: Do Not Forget Governance JO - J Med Internet Res SP - e18087 VL - 22 IS - 7 KW - data management KW - privacy KW - ethics, research KW - data science KW - machine learning UR - http://www.jmir.org/2020/7/e18087/ UR - http://dx.doi.org/10.2196/18087 UR - http://www.ncbi.nlm.nih.gov/pubmed/32540846 ID - info:doi/10.2196/18087 ER - TY - JOUR AU - Panzarasa, Pietro AU - Griffiths, J. Christopher AU - Sastry, Nishanth AU - De Simoni, Anna PY - 2020/7/28 TI - Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions JO - J Med Internet Res SP - e16337 VL - 22 IS - 7 KW - online health communities KW - self-care KW - social networks KW - social capital KW - open and closed structures KW - social cohesion KW - brokerage UR - http://www.jmir.org/2020/7/e16337/ UR - http://dx.doi.org/10.2196/16337 UR - http://www.ncbi.nlm.nih.gov/pubmed/32720910 ID - info:doi/10.2196/16337 ER - TY - JOUR AU - Taylor, Barr C. AU - Ruzek, I. Josef AU - Fitzsimmons-Craft, E. Ellen AU - Sadeh-Sharvit, Shiri AU - Topooco, Naira AU - Weissman, Striegel Ruth AU - Eisenberg, Daniel AU - Mohr, David AU - Graham, Andrea AU - Jacobi, Corinna AU - Oldenburg, Brian PY - 2020/7/24 TI - Using Digital Technology to Reduce the Prevalence of Mental Health Disorders in Populations: Time for a New Approach JO - J Med Internet Res SP - e17493 VL - 22 IS - 7 KW - internet KW - mental health, interventions KW - outcome KW - prevalence UR - https://www.jmir.org/2020/7/e17493 UR - http://dx.doi.org/10.2196/17493 UR - http://www.ncbi.nlm.nih.gov/pubmed/32706665 ID - info:doi/10.2196/17493 ER - TY - JOUR AU - Weerdmeester, Joanneke AU - van Rooij, MJW Marieke AU - Engels, CME Rutger AU - Granic, Isabela PY - 2020/7/23 TI - An Integrative Model for the Effectiveness of Biofeedback Interventions for Anxiety Regulation: Viewpoint JO - J Med Internet Res SP - e14958 VL - 22 IS - 7 KW - biofeedback KW - neurofeedback KW - anxiety KW - appraisal KW - mechanisms KW - mental health KW - eHealth KW - video games KW - wearable technology KW - review KW - mobile phone UR - https://www.jmir.org/2020/7/e14958 UR - http://dx.doi.org/10.2196/14958 UR - http://www.ncbi.nlm.nih.gov/pubmed/32706654 ID - info:doi/10.2196/14958 ER - TY - JOUR AU - Wu, Huailiang AU - Sun, Weiwei AU - Huang, Xinyu AU - Yu, Shinning AU - Wang, Hao AU - Bi, Xiaoyu AU - Sheng, Jie AU - Chen, Sihan AU - Akinwunmi, Babatunde AU - Zhang, P. Casper J. AU - Ming, Wai-Kit PY - 2020/7/22 TI - Online Antenatal Care During the COVID-19 Pandemic: Opportunities and Challenges JO - J Med Internet Res SP - e19916 VL - 22 IS - 7 KW - coronavirus disease KW - COVID-19 KW - SARS-CoV-2 KW - online prenatal education KW - pregnancy KW - online education KW - antenatal KW - telehealth KW - convenience KW - inequality UR - http://www.jmir.org/2020/7/e19916/ UR - http://dx.doi.org/10.2196/19916 UR - http://www.ncbi.nlm.nih.gov/pubmed/32658860 ID - info:doi/10.2196/19916 ER - TY - JOUR AU - He, Shuhan AU - Ojo, Ayotomiwa AU - Beckman, L. Adam AU - Gondi, Suhas AU - Ranney, Megan AU - Betz, Marian AU - Faust, S. Jeremy AU - Choo, Esther AU - Kass, Dara AU - Raja, S. Ali PY - 2020/7/20 TI - The Story of #GetMePPE and GetUsPPE.org to Mobilize Health Care Response to COVID-19 : Rapidly Deploying Digital Tools for Better Health Care JO - J Med Internet Res SP - e20469 VL - 22 IS - 7 KW - digital health KW - getusppe KW - getmeppe KW - COVID-19 KW - personal protective equipment KW - protection KW - Twitter KW - pandemic KW - health care worker UR - https://www.jmir.org/2020/7/e20469 UR - http://dx.doi.org/10.2196/20469 UR - http://www.ncbi.nlm.nih.gov/pubmed/32530813 ID - info:doi/10.2196/20469 ER - TY - JOUR AU - Iancu, Magen Ariella AU - Kemp, Thomas Michael AU - Alam, Badre Hasan PY - 2020/7/20 TI - Unmuting Medical Students? Education: Utilizing Telemedicine During the COVID-19 Pandemic and Beyond JO - J Med Internet Res SP - e19667 VL - 22 IS - 7 KW - telemedicine KW - medical education KW - medical school KW - COVID-19 KW - education, medical, undergraduate KW - curriculum UR - http://www.jmir.org/2020/7/e19667/ UR - http://dx.doi.org/10.2196/19667 UR - http://www.ncbi.nlm.nih.gov/pubmed/32614776 ID - info:doi/10.2196/19667 ER - TY - JOUR AU - Bashir, Ayisha PY - 2020/7/17 TI - Stroke and Telerehabilitation: A Brief Communication JO - JMIR Rehabil Assist Technol SP - e18919 VL - 7 IS - 2 KW - telerehabilitation KW - rehabilitation KW - nursing KW - stroke KW - telehealth UR - https://rehab.jmir.org/2020/2/e18919 UR - http://dx.doi.org/10.2196/18919 UR - http://www.ncbi.nlm.nih.gov/pubmed/32706739 ID - info:doi/10.2196/18919 ER - TY - JOUR AU - Rouleau, Genevičve AU - Pelletier, Jérôme AU - Côté, José AU - Gagnon, Marie-Pierre AU - Martel-Laferričre, Valérie AU - Lévesque, Rock AU - AU - Fontaine, Guillaume PY - 2020/7/15 TI - Codeveloping a Virtual Patient Simulation to Foster Nurses? Relational Skills Consistent With Motivational Interviewing: A Situation of Antiretroviral Therapy Nonadherence JO - J Med Internet Res SP - e18225 VL - 22 IS - 7 KW - motivational interviewing KW - HIV KW - nurses KW - education, continuing KW - virtual patient KW - simulation KW - nurse-patient relations KW - communication N2 - 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. UR - http://www.jmir.org/2020/7/e18225/ UR - http://dx.doi.org/10.2196/18225 UR - http://www.ncbi.nlm.nih.gov/pubmed/32672679 ID - info:doi/10.2196/18225 ER - TY - JOUR AU - Twomey, B. Michael AU - Sammon, David AU - Nagle, Tadhg PY - 2020/7/14 TI - The Tango of Problem Formulation: A Patient?s/Researcher?s Reflection on an Action Design Research Journey JO - J Med Internet Res SP - e16916 VL - 22 IS - 7 KW - action design research KW - patient KW - reflection KW - problem formulation KW - checklist KW - cystic fibrosis UR - https://www.jmir.org/2020/7/e16916 UR - http://dx.doi.org/10.2196/16916 UR - http://www.ncbi.nlm.nih.gov/pubmed/32285802 ID - info:doi/10.2196/16916 ER - TY - JOUR AU - El-Gazzar, Rania AU - Stendal, Karen PY - 2020/7/10 TI - Blockchain in Health Care: Hope or Hype? JO - J Med Internet Res SP - e17199 VL - 22 IS - 7 KW - blockchain KW - health care KW - innovation KW - security KW - implications UR - http://www.jmir.org/2020/7/e17199/ UR - http://dx.doi.org/10.2196/17199 UR - http://www.ncbi.nlm.nih.gov/pubmed/32673219 ID - info:doi/10.2196/17199 ER - TY - JOUR AU - Alami, Hassane AU - Lehoux, Pascale AU - Auclair, Yannick AU - de Guise, Michčle AU - Gagnon, Marie-Pierre AU - Shaw, James AU - Roy, Denis AU - Fleet, Richard AU - Ag Ahmed, Ali Mohamed AU - Fortin, Jean-Paul PY - 2020/7/7 TI - Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity JO - J Med Internet Res SP - e17707 VL - 22 IS - 7 KW - artificial intelligence KW - health technology assessment KW - eHealth KW - health care KW - medical device KW - patient KW - health services UR - https://www.jmir.org/2020/7/e17707 UR - http://dx.doi.org/10.2196/17707 UR - http://www.ncbi.nlm.nih.gov/pubmed/32406850 ID - info:doi/10.2196/17707 ER - TY - JOUR AU - Daus, Henning AU - Bloecher, Timon AU - Egeler, Ronny AU - De Klerk, Richard AU - Stork, Wilhelm AU - Backenstrass, Matthias PY - 2020/7/3 TI - Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder JO - JMIR Ment Health SP - e14267 VL - 7 IS - 7 KW - bipolar disorder KW - mood recognition KW - emotion recognition KW - monitoring KW - mobile apps KW - assistance system KW - mHealth UR - https://mental.jmir.org/2020/7/e14267 UR - http://dx.doi.org/10.2196/14267 UR - http://www.ncbi.nlm.nih.gov/pubmed/32618577 ID - info:doi/10.2196/14267 ER - TY - JOUR AU - Xu, Chenjie AU - Zhang, Xinyu AU - Wang, Yaogang PY - 2020/7/2 TI - Mapping of Health Literacy and Social Panic Via Web Search Data During the COVID-19 Public Health Emergency: Infodemiological Study JO - J Med Internet Res SP - e18831 VL - 22 IS - 7 KW - COVID-19 KW - China KW - Baidu KW - infodemiology KW - web search KW - internet KW - public health KW - emergency KW - outbreak KW - infectious disease KW - pandemic KW - health literacy N2 - 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. UR - https://www.jmir.org/2020/7/e18831 UR - http://dx.doi.org/10.2196/18831 UR - http://www.ncbi.nlm.nih.gov/pubmed/32540844 ID - info:doi/10.2196/18831 ER - TY - JOUR AU - Young, D. Sean PY - 2020/6/26 TI - The Adaptive Behavioral Components (ABC) Model for Planning Longitudinal Behavioral Technology-Based Health Interventions: A Theoretical Framework JO - J Med Internet Res SP - e15563 VL - 22 IS - 6 KW - health behavior KW - risk behavior KW - behavioral medicine KW - public health informatics KW - consumer health informatics KW - psychological theory UR - https://www.jmir.org/2020/6/e15563 UR - http://dx.doi.org/10.2196/15563 UR - http://www.ncbi.nlm.nih.gov/pubmed/32589152 ID - info:doi/10.2196/15563 ER - TY - JOUR AU - Badawy, M. Sherif AU - Radovic, Ana PY - 2020/6/25 TI - Digital Approaches to Remote Pediatric Health Care Delivery During the COVID-19 Pandemic: Existing Evidence and a Call for Further Research JO - JMIR Pediatr Parent SP - e20049 VL - 3 IS - 1 KW - coronavirus KW - COVID-19 KW - SARS-CoV-2 KW - pandemic KW - outbreak KW - public health KW - pediatric KW - children KW - adolescents KW - telehealth KW - telemedicine KW - digital KW - interventions KW - digital health KW - digital medicine KW - mobile health KW - mHealth KW - eHealth KW - health care delivery UR - http://pediatrics.jmir.org/2020/1/e20049/ UR - http://dx.doi.org/10.2196/20049 UR - http://www.ncbi.nlm.nih.gov/pubmed/32540841 ID - info:doi/10.2196/20049 ER - TY - JOUR AU - Musacchio, Nicoletta AU - Giancaterini, Annalisa AU - Guaita, Giacomo AU - Ozzello, Alessandro AU - Pellegrini, A. Maria AU - Ponzani, Paola AU - Russo, T. Giuseppina AU - Zilich, Rita AU - de Micheli, Alberto PY - 2020/6/22 TI - Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists JO - J Med Internet Res SP - e16922 VL - 22 IS - 6 KW - artificial intelligence KW - big data analytics KW - clinical decision making KW - diabetes management KW - health care UR - http://www.jmir.org/2020/6/e16922/ UR - http://dx.doi.org/10.2196/16922 UR - http://www.ncbi.nlm.nih.gov/pubmed/32568088 ID - info:doi/10.2196/16922 ER - TY - JOUR AU - Asan, Onur AU - Bayrak, Emrah Alparslan AU - Choudhury, Avishek PY - 2020/6/19 TI - Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians JO - J Med Internet Res SP - e15154 VL - 22 IS - 6 KW - human-AI collaboration KW - trust KW - technology adoption KW - FDA policy KW - bias KW - health care UR - http://www.jmir.org/2020/6/e15154/ UR - http://dx.doi.org/10.2196/15154 UR - http://www.ncbi.nlm.nih.gov/pubmed/32558657 ID - info:doi/10.2196/15154 ER - TY - JOUR AU - Khazen, Wael AU - Jeanne, Jean-François AU - Demaretz, Laëtitia AU - Schäfer, Florent AU - Fagherazzi, Guy PY - 2020/6/18 TI - Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research JO - J Med Internet Res SP - e15619 VL - 22 IS - 6 KW - diet KW - dietary assessment KW - epidemiology KW - clinical research KW - mobile diet app KW - academic apps KW - consumer-grade apps UR - https://www.jmir.org/2020/6/e15619 UR - http://dx.doi.org/10.2196/15619 UR - http://www.ncbi.nlm.nih.gov/pubmed/32554383 ID - info:doi/10.2196/15619 ER - TY - JOUR AU - Sakib, Nazmus Mohammad AU - Butt, A. Zahid AU - Morita, Pelegrini Plinio AU - Oremus, Mark AU - Fong, T. Geoffrey AU - Hall, A. Peter PY - 2020/6/5 TI - Considerations for an Individual-Level Population Notification System for Pandemic Response: A Review and Prototype JO - J Med Internet Res SP - e19930 VL - 22 IS - 6 KW - pandemic KW - epidemic KW - notification system KW - hygiene KW - physical distancing KW - lockdown KW - mobile technology KW - COVID-19 KW - coronavirus UR - http://www.jmir.org/2020/6/e19930/ UR - http://dx.doi.org/10.2196/19930 UR - http://www.ncbi.nlm.nih.gov/pubmed/32484443 ID - info:doi/10.2196/19930 ER - TY - JOUR AU - Crawford, Allison AU - Serhal, Eva PY - 2020/6/2 TI - Digital Health Equity and COVID-19: The Innovation Curve Cannot Reinforce the Social Gradient of Health JO - J Med Internet Res SP - e19361 VL - 22 IS - 6 KW - virtual health KW - digital determinants of health KW - digital health equity KW - digital health KW - equity KW - COVID-19 KW - public health KW - eHealth KW - social UR - https://www.jmir.org/2020/6/e19361 UR - http://dx.doi.org/10.2196/19361 UR - http://www.ncbi.nlm.nih.gov/pubmed/32452816 ID - info:doi/10.2196/19361 ER - TY - JOUR AU - Schneble, Olivier Christophe AU - Elger, Simone Bernice AU - Shaw, Martin David PY - 2020/5/28 TI - All Our Data Will Be Health Data One Day: The Need for Universal Data Protection and Comprehensive Consent JO - J Med Internet Res SP - e16879 VL - 22 IS - 5 KW - big data KW - health data KW - social media KW - data protection KW - guidelines KW - best practices UR - http://www.jmir.org/2020/5/e16879/ UR - http://dx.doi.org/10.2196/16879 UR - http://www.ncbi.nlm.nih.gov/pubmed/32463372 ID - info:doi/10.2196/16879 ER - TY - JOUR AU - Rogosnitzky, Moshe AU - Berkowitz, Esther AU - Jadad, R. Alejandro PY - 2020/5/13 TI - Delivering Benefits at Speed Through Real-World Repurposing of Off-Patent Drugs: The COVID-19 Pandemic as a Case in Point JO - JMIR Public Health Surveill SP - e19199 VL - 6 IS - 2 KW - COVID-19 KW - drug costs KW - drug repositioning KW - drugs, generic KW - off-label use KW - public health KW - severe acute respiratory syndrome coronavirus 2 KW - pandemic KW - crisis UR - http://publichealth.jmir.org/2020/2/e19199/ UR - http://dx.doi.org/10.2196/19199 UR - http://www.ncbi.nlm.nih.gov/pubmed/32374264 ID - info:doi/10.2196/19199 ER - TY - JOUR AU - Brown, Theresa AU - Nauman Vogel, Emily AU - Adler, Sarah AU - Bohon, Cara AU - Bullock, Kim AU - Nameth, Katherine AU - Riva, Giuseppe AU - Safer, L. Debra AU - Runfola, D. Cristin PY - 2020/4/23 TI - Bringing Virtual Reality From Clinical Trials to Clinical Practice for the Treatment of Eating Disorders: An Example Using Virtual Reality Cue Exposure Therapy JO - J Med Internet Res SP - e16386 VL - 22 IS - 4 KW - virtual reality KW - exposure therapy KW - eating disorders KW - translational research KW - technological innovation UR - http://www.jmir.org/2020/4/e16386/ UR - http://dx.doi.org/10.2196/16386 UR - http://www.ncbi.nlm.nih.gov/pubmed/32324145 ID - info:doi/10.2196/16386 ER - TY - JOUR AU - Mahmood, Sultan AU - Hasan, Khaled AU - Colder Carras, Michelle AU - Labrique, Alain PY - 2020/4/16 TI - Global Preparedness Against COVID-19: We Must Leverage the Power of Digital Health JO - JMIR Public Health Surveill SP - e18980 VL - 6 IS - 2 KW - informatics KW - global health KW - developing countries KW - internet KW - infection KW - control KW - COVID-19 KW - pandemic UR - http://publichealth.jmir.org/2020/2/e18980/ UR - http://dx.doi.org/10.2196/18980 UR - http://www.ncbi.nlm.nih.gov/pubmed/32297868 ID - info:doi/10.2196/18980 ER - TY - JOUR AU - Hodges, William Paul AU - Setchell, Jenny AU - Nielsen, Mandy PY - 2020/3/31 TI - An Internet-Based Consumer Resource for People with Low Back Pain (MyBackPain): Development and Evaluation JO - JMIR Rehabil Assist Technol SP - e16101 VL - 7 IS - 1 KW - back pain KW - patient education KW - patient internet portals KW - evidence-based health care KW - patient involvement KW - service user involvement UR - http://rehab.jmir.org/2020/1/e16101/ UR - http://dx.doi.org/10.2196/16101 UR - http://www.ncbi.nlm.nih.gov/pubmed/32229467 ID - info:doi/10.2196/16101 ER - TY - JOUR AU - Tully, Jeffrey AU - Coravos, Andrea AU - Doerr, Megan AU - Dameff, Christian PY - 2020/3/30 TI - Connected Medical Technology and Cybersecurity Informed Consent: A New Paradigm JO - J Med Internet Res SP - e17612 VL - 22 IS - 3 KW - connected medical technology KW - cybersecurity KW - informed consent KW - privacy KW - patient autonomy KW - digital health KW - medical devices KW - ethics N2 - 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. UR - http://www.jmir.org/2020/3/e17612/ UR - http://dx.doi.org/10.2196/17612 UR - http://www.ncbi.nlm.nih.gov/pubmed/32224492 ID - info:doi/10.2196/17612 ER - TY - JOUR AU - Fagherazzi, Guy PY - 2020/3/3 TI - Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper JO - J Med Internet Res SP - e16770 VL - 22 IS - 3 KW - digital health KW - digital epidemiology KW - deep digital phenotyping KW - digital orthodoxy KW - precision medicine KW - precision health KW - personalized medicine KW - digital phenotyping KW - precision prevention KW - big data KW - omics KW - digitosome KW - data lake KW - digital cohort UR - https://www.jmir.org/2020/3/e16770 UR - http://dx.doi.org/10.2196/16770 UR - http://www.ncbi.nlm.nih.gov/pubmed/32130138 ID - info:doi/10.2196/16770 ER - TY - JOUR AU - Sezgin, Emre AU - Noritz, Garey AU - Elek, Alexander AU - Conkol, Kimberly AU - Rust, Steve AU - Bailey, Matthew AU - Strouse, Robert AU - Chandawarkar, Aarti AU - von Sadovszky, Victoria AU - Lin, Simon AU - Huang, Yungui PY - 2020/2/13 TI - Capturing At-Home Health and Care Information for Children With Medical Complexity Using Voice Interactive Technologies: Multi-Stakeholder Viewpoint JO - J Med Internet Res SP - e14202 VL - 22 IS - 2 KW - care coordination KW - self-management KW - children with medical complexity KW - voice technology KW - voice assistant KW - digital health KW - conversational agents UR - https://www.jmir.org/2020/2/e14202 UR - http://dx.doi.org/10.2196/14202 UR - http://www.ncbi.nlm.nih.gov/pubmed/32053114 ID - info:doi/10.2196/14202 ER - TY - JOUR AU - Griffioen, Nastasia AU - Van Rooij, W. Marieke M. J. AU - Lichtwarck-Aschoff, Anna AU - Granic, Isabela PY - 2020/1/28 TI - A Stimulated Recall Method for the Improved Assessment of Quantity and Quality of Social Media Use JO - J Med Internet Res SP - e15529 VL - 22 IS - 1 KW - technology use KW - stimulated recall KW - social media KW - well-being KW - qualitative research KW - interview KW - digital technologies N2 - 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. UR - https://www.jmir.org/2020/1/e15529 UR - http://dx.doi.org/10.2196/15529 UR - http://www.ncbi.nlm.nih.gov/pubmed/32012075 ID - info:doi/10.2196/15529 ER - TY - JOUR AU - Goodday, M. Sarah AU - Atkinson, Lauren AU - Goodwin, Guy AU - Saunders, Kate AU - South, Matthew AU - Mackay, Clare AU - Denis, Mike AU - Hinds, Chris AU - Attenburrow, Mary-Jane AU - Davies, Jim AU - Welch, James AU - Stevens, William AU - Mansfield, Karen AU - Suvilehto, Juulia AU - Geddes, John PY - 2020/1/15 TI - The True Colours Remote Symptom Monitoring System: A Decade of Evolution JO - J Med Internet Res SP - e15188 VL - 22 IS - 1 KW - symptom assessment KW - signs and symptoms KW - digital health KW - ecological momentary assessment KW - mood disorders UR - https://www.jmir.org/2020/1/e15188 UR - http://dx.doi.org/10.2196/15188 UR - http://www.ncbi.nlm.nih.gov/pubmed/31939746 ID - info:doi/10.2196/15188 ER - TY - JOUR AU - Bacon, Seb AU - Goldacre, Ben PY - 2020/1/13 TI - Barriers to Working With National Health Service England?s Open Data JO - J Med Internet Res SP - e15603 VL - 22 IS - 1 KW - informatics KW - health services KW - software KW - access to information UR - https://www.jmir.org/2020/1/e15603 UR - http://dx.doi.org/10.2196/15603 UR - http://www.ncbi.nlm.nih.gov/pubmed/31929101 ID - info:doi/10.2196/15603 ER - TY - JOUR AU - Lee, J. Edmund W. AU - Viswanath, Kasisomayajula PY - 2020/1/7 TI - Big Data in Context: Addressing the Twin Perils of Data Absenteeism and Chauvinism in the Context of Health Disparities Research JO - J Med Internet Res SP - e16377 VL - 22 IS - 1 KW - big data KW - artificial intelligence KW - health informatics KW - wearable electronic devices KW - mobile health KW - social media KW - electronic health records KW - digital divide KW - health disparities UR - https://www.jmir.org/2020/1/e16377 UR - http://dx.doi.org/10.2196/16377 UR - http://www.ncbi.nlm.nih.gov/pubmed/31909724 ID - info:doi/10.2196/16377 ER - TY - JOUR AU - Persky, Susan PY - 2020/1/3 TI - A Virtual Home for the Virtual Clinical Trial JO - J Med Internet Res SP - e15582 VL - 22 IS - 1 KW - virtual reality KW - virtual clinical trials KW - eHealth UR - https://www.jmir.org/2020/1/e15582 UR - http://dx.doi.org/10.2196/15582 UR - http://www.ncbi.nlm.nih.gov/pubmed/31899455 ID - info:doi/10.2196/15582 ER - TY - JOUR AU - deBronkart, Dave PY - 2019/12/11 TI - Open Access as a Revolution: Knowledge Alters Power JO - J Med Internet Res SP - e16368 VL - 21 IS - 12 KW - patient engagement KW - empowerment KW - patient empowerment KW - participatory medicine KW - open access KW - patient portals KW - EMRs KW - EHRs KW - Patient-clinician relationship UR - http://www.jmir.org/2019/12/e16368/ UR - http://dx.doi.org/10.2196/16368 UR - http://www.ncbi.nlm.nih.gov/pubmed/31825321 ID - info:doi/10.2196/16368 ER - TY - JOUR AU - Alshurafa, Nabil AU - Lin, Wen Annie AU - Zhu, Fengqing AU - Ghaffari, Roozbeh AU - Hester, Josiah AU - Delp, Edward AU - Rogers, John AU - Spring, Bonnie PY - 2019/12/4 TI - Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring JO - J Med Internet Res SP - e14904 VL - 21 IS - 12 KW - computer vision systems KW - computing methodologies KW - diet KW - energy intake KW - eating KW - eHealth KW - feeding behavior KW - mHealth KW - nutritional status KW - obesity KW - wearable technology N2 - 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. UR - https://www.jmir.org/2019/12/e14904 UR - http://dx.doi.org/10.2196/14904 UR - http://www.ncbi.nlm.nih.gov/pubmed/31799938 ID - info:doi/10.2196/14904 ER - TY - JOUR AU - Shull, Germaine Jessica PY - 2019/11/1 TI - Digital Health and the State of Interoperable Electronic Health Records JO - JMIR Med Inform SP - e12712 VL - 7 IS - 4 KW - EHRs KW - health information technology KW - machine learning in health UR - http://medinform.jmir.org/2019/4/e12712/ UR - http://dx.doi.org/10.2196/12712 UR - http://www.ncbi.nlm.nih.gov/pubmed/31682583 ID - info:doi/10.2196/12712 ER - TY - JOUR AU - Wu, Huailiang AU - Chan, Nga-Kwo AU - Zhang, P. Casper J. AU - Ming, Wai-Kit PY - 2019/10/15 TI - The Role of the Sharing Economy and Artificial Intelligence in Health Care: Opportunities and Challenges JO - J Med Internet Res SP - e13469 VL - 21 IS - 10 KW - health care KW - health care system KW - sharing economy KW - artificial intelligence UR - https://www.jmir.org/2019/10/e13469 UR - http://dx.doi.org/10.2196/13469 UR - http://www.ncbi.nlm.nih.gov/pubmed/31617850 ID - info:doi/10.2196/13469 ER - TY - JOUR AU - Mechael, Patricia AU - Kaonga, Nina Nadi AU - Chandrasekharan, Subhashini AU - Prakash, Perumal Muthu AU - Peter, Joanne AU - Ganju, Aakash AU - Murthy, Nirmala PY - 2019/08/21 TI - The Elusive Path Toward Measuring Health Outcomes: Lessons Learned From a Pseudo-Randomized Controlled Trial of a Large-Scale Mobile Health Initiative JO - JMIR Mhealth Uhealth SP - e14668 VL - 7 IS - 8 KW - India KW - mHealth KW - maternal health KW - child health KW - research UR - http://mhealth.jmir.org/2019/8/e14668/ UR - http://dx.doi.org/10.2196/14668 UR - http://www.ncbi.nlm.nih.gov/pubmed/31436165 ID - info:doi/10.2196/14668 ER - TY - JOUR AU - Booth, M. Brandon AU - Mundnich, Karel AU - Feng, Tiantian AU - Nadarajan, Amrutha AU - Falk, H. Tiago AU - Villatte, L. Jennifer AU - Ferrara, Emilio AU - Narayanan, Shrikanth PY - 2019/08/20 TI - Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management JO - J Med Internet Res SP - e12832 VL - 21 IS - 8 KW - research design KW - human activities KW - behavioral research KW - longitudinal studies KW - wearable electronic devices KW - organizational case studies KW - in situ research N2 - 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. UR - http://www.jmir.org/2019/8/e12832/ UR - http://dx.doi.org/10.2196/12832 UR - http://www.ncbi.nlm.nih.gov/pubmed/31432781 ID - info:doi/10.2196/12832 ER - TY - JOUR AU - Franz, Daschel AU - Marsh, Elizabeth Heather AU - Chen, I. Jason AU - Teo, R. Alan PY - 2019/08/13 TI - Using Facebook for Qualitative Research: A Brief Primer JO - J Med Internet Res SP - e13544 VL - 21 IS - 8 UR - http://www.jmir.org/2019/8/e13544/ UR - http://dx.doi.org/10.2196/13544 UR - http://www.ncbi.nlm.nih.gov/pubmed/31411143 ID - info:doi/10.2196/13544 ER - TY - JOUR AU - Fiske, Amelia AU - Prainsack, Barbara AU - Buyx, Alena PY - 2019/07/09 TI - Data Work: Meaning-Making in the Era of Data-Rich Medicine JO - J Med Internet Res SP - e11672 VL - 21 IS - 7 KW - big data KW - data work KW - medical informatics KW - internet KW - data interpretation KW - decision support systems UR - https://www.jmir.org/2019/7/e11672/ UR - http://dx.doi.org/10.2196/11672 UR - http://www.ncbi.nlm.nih.gov/pubmed/31290397 ID - info:doi/10.2196/11672 ER - TY - JOUR AU - Yu, Xiaochu AU - Han, Wei AU - Jiang, Jingmei AU - Wang, Yipeng AU - Xin, Shijie AU - Wu, Shizheng AU - Sun, Hong AU - Wang, Zixing AU - Zhao, Yupei PY - 2019/06/24 TI - Key Issues in the Development of an Evidence-Based Stratified Surgical Patient Safety Improvement Information System: Experience From a Multicenter Surgical Safety Program JO - J Med Internet Res SP - e13576 VL - 21 IS - 6 KW - surgery KW - patient safety KW - information system KW - risk factors KW - evidence-based practice UR - http://www.jmir.org/2019/6/e13576/ UR - http://dx.doi.org/10.2196/13576 UR - http://www.ncbi.nlm.nih.gov/pubmed/31237241 ID - info:doi/10.2196/13576 ER - TY - JOUR AU - Khalili-Mahani, Najmeh AU - De Schutter, Bob PY - 2019/06/06 TI - Affective Game Planning for Health Applications: Quantitative Extension of Gerontoludic Design Based on the Appraisal Theory of Stress and Coping JO - JMIR Serious Games SP - e13303 VL - 7 IS - 2 KW - games KW - user acceptance of health care KW - psychology KW - informatics KW - aging KW - adaptation KW - rehabilitation UR - http://games.jmir.org/2019/2/e13303/ UR - http://dx.doi.org/10.2196/13303 UR - http://www.ncbi.nlm.nih.gov/pubmed/31172966 ID - info:doi/10.2196/13303 ER - TY - JOUR AU - Schofield, Penelope AU - Shaw, Tim AU - Pascoe, Michaela PY - 2019/06/04 TI - Toward Comprehensive Patient-Centric Care by Integrating Digital Health Technology With Direct Clinical Contact in Australia JO - J Med Internet Res SP - e12382 VL - 21 IS - 6 KW - health care KW - health KW - eHealth N2 - 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. UR - https://www.jmir.org/2019/6/e12382/ UR - http://dx.doi.org/10.2196/12382 UR - http://www.ncbi.nlm.nih.gov/pubmed/31165713 ID - info:doi/10.2196/12382 ER - TY - JOUR AU - Colicchio, K. Tiago AU - Cimino, J. James AU - Del Fiol, Guilherme PY - 2019/06/03 TI - Unintended Consequences of Nationwide Electronic Health Record Adoption: Challenges and Opportunities in the Post-Meaningful Use Era JO - J Med Internet Res SP - e13313 VL - 21 IS - 6 KW - meaningful use KW - medical informatics applications KW - adoption UR - https://www.jmir.org/2019/6/e13313/ UR - http://dx.doi.org/10.2196/13313 UR - http://www.ncbi.nlm.nih.gov/pubmed/31162125 ID - info:doi/10.2196/13313 ER - TY - JOUR AU - Bracha, Yiscah AU - Bagwell, Jacqueline AU - Furberg, Robert AU - Wald, S. Jonathan PY - 2019/06/03 TI - Consumer-Mediated Data Exchange for Research: Current State of US Law, Technology, and Trust JO - JMIR Med Inform SP - e12348 VL - 7 IS - 2 KW - health records, personal KW - electronic health records KW - patient access to records KW - research KW - trust KW - data collection KW - consumer health information UR - http://medinform.jmir.org/2019/2/e12348/ UR - http://dx.doi.org/10.2196/12348 UR - http://www.ncbi.nlm.nih.gov/pubmed/30946692 ID - info:doi/10.2196/12348 ER - TY - JOUR AU - Genevičve, Darryl Lester AU - Martani, Andrea AU - Wangmo, Tenzin AU - Paolotti, Daniela AU - Koppeschaar, Carl AU - Kjelsř, Charlotte AU - Guerrisi, Caroline AU - Hirsch, Marco AU - Woolley-Meza, Olivia AU - Lukowicz, Paul AU - Flahault, Antoine AU - Elger, Simone Bernice PY - 2019/05/23 TI - Participatory Disease Surveillance Systems: Ethical Framework JO - J Med Internet Res SP - e12273 VL - 21 IS - 5 KW - ethics KW - research KW - influenza, human KW - smartphone KW - public health surveillance UR - https://www.jmir.org/2019/5/e12273/ UR - http://dx.doi.org/10.2196/12273 UR - http://www.ncbi.nlm.nih.gov/pubmed/31124466 ID - info:doi/10.2196/12273 ER - TY - JOUR AU - Kirkendall, Steven Eric AU - Ni, Yizhao AU - Lingren, Todd AU - Leonard, Matthew AU - Hall, S. Eric AU - Melton, Kristin PY - 2019/05/22 TI - Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support JO - J Med Internet Res SP - e13047 VL - 21 IS - 5 KW - decision support systems, clinical KW - clinical decision support KW - real-time systems KW - electronic medical records KW - electronic health records KW - medical records systems, computerized KW - informatics KW - data science KW - information science KW - patient safety N2 - 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. UR - http://www.jmir.org/2019/5/e13047/ UR - http://dx.doi.org/10.2196/13047 UR - http://www.ncbi.nlm.nih.gov/pubmed/31120022 ID - info:doi/10.2196/13047 ER - TY - JOUR AU - Hjollund, Ingvar Niels Henrik AU - Valderas, Maria José AU - Kyte, Derek AU - Calvert, Jane Melanie PY - 2019/05/21 TI - Health Data Processes: A Framework for Analyzing and Discussing Efficient Use and Reuse of Health Data With a Focus on Patient-Reported Outcome Measures JO - J Med Internet Res SP - e12412 VL - 21 IS - 5 KW - medical informatics KW - patient-reported outcome KW - patient-physician relationship KW - data collection UR - https://www.jmir.org/2019/5/e12412/ UR - http://dx.doi.org/10.2196/12412 UR - http://www.ncbi.nlm.nih.gov/pubmed/31115347 ID - info:doi/10.2196/12412 ER - TY - JOUR AU - Bhattacharyya, Onil AU - Mossman, Kathryn AU - Gustafsson, Lovisa AU - Schneider, C. Eric PY - 2019/05/09 TI - Using Human-Centered Design to Build a Digital Health Advisor for Patients With Complex Needs: Persona and Prototype Development JO - J Med Internet Res SP - e10318 VL - 21 IS - 5 KW - chronic disease KW - user-centered design KW - medical applications N2 - 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. UR - https://www.jmir.org/2019/5/e10318/ UR - http://dx.doi.org/10.2196/10318 UR - http://www.ncbi.nlm.nih.gov/pubmed/31094334 ID - info:doi/10.2196/10318 ER - TY - JOUR AU - Hamel, M. Lauren AU - Thompson, S. Hayley AU - Albrecht, L. Terrance AU - Harper, WK Felicity PY - 2019/4/22 TI - Designing and Testing Apps to Support Patients With Cancer: Looking to Behavioral Science to Lead the Way JO - JMIR Cancer SP - e12317 VL - 5 IS - 1 KW - behavioral science KW - cancer KW - mobile apps KW - evidence-based practice KW - smartphone KW - mHealth N2 - 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. UR - http://cancer.jmir.org/2019/1/e12317/ UR - http://dx.doi.org/10.2196/12317 UR - http://www.ncbi.nlm.nih.gov/pubmed/31066691 ID - info:doi/10.2196/12317 ER - TY - JOUR AU - Wykes, Til AU - Schueller, Stephen PY - 2019/05/02 TI - Why Reviewing Apps Is Not Enough: Transparency for Trust (T4T) Principles of Responsible Health App Marketplaces JO - J Med Internet Res SP - e12390 VL - 21 IS - 5 KW - mobile health KW - digital health applications KW - consumer protection KW - ehealth KW - advertising standards KW - digital mental health interventions KW - digital health UR - https://www.jmir.org/2019/5/e12390/ UR - http://dx.doi.org/10.2196/12390 UR - http://www.ncbi.nlm.nih.gov/pubmed/31045497 ID - info:doi/10.2196/12390 ER - TY - JOUR AU - Mesko, Bertalan AU - Gy?rffy, Zsuzsa PY - 2019/03/26 TI - The Rise of the Empowered Physician in the Digital Health Era: Viewpoint JO - J Med Internet Res SP - e12490 VL - 21 IS - 3 KW - e-physician KW - e-patient KW - empowerment KW - doctor-patient relationship KW - digital health KW - technology UR - http://www.jmir.org/2019/3/e12490/ UR - http://dx.doi.org/10.2196/12490 UR - http://www.ncbi.nlm.nih.gov/pubmed/30912758 ID - info:doi/10.2196/12490 ER - TY - JOUR AU - Moreno, A. Megan AU - D'Angelo, Jonathan PY - 2019/03/26 TI - Social Media Intervention Design: Applying an Affordances Framework JO - J Med Internet Res SP - e11014 VL - 21 IS - 3 KW - social media KW - health KW - adolescent KW - research UR - http://www.jmir.org/2019/3/e11014/ UR - http://dx.doi.org/10.2196/11014 UR - http://www.ncbi.nlm.nih.gov/pubmed/30912754 ID - info:doi/10.2196/11014 ER - TY - JOUR AU - Woods, Beau AU - Coravos, Andrea AU - Corman, David Joshua PY - 2019/03/19 TI - The Case for a Hippocratic Oath for Connected Medical Devices: Viewpoint JO - J Med Internet Res SP - e12568 VL - 21 IS - 3 KW - ethics KW - cybersecurity KW - information technology KW - delivery of health care KW - connected devices UR - http://www.jmir.org/2019/3/e12568/ UR - http://dx.doi.org/10.2196/12568 UR - http://www.ncbi.nlm.nih.gov/pubmed/30888323 ID - info:doi/10.2196/12568 ER - TY - JOUR AU - Bezemer, Tim AU - de Groot, CH Mark AU - Blasse, Enja AU - ten Berg, J. Maarten AU - Kappen, H. Teus AU - Bredenoord, L. Annelien AU - van Solinge, W. Wouter AU - Hoefer, E. Imo AU - Haitjema, Saskia PY - 2019/03/19 TI - A Human(e) Factor in Clinical Decision Support Systems JO - J Med Internet Res SP - e11732 VL - 21 IS - 3 KW - clinical decision support KW - big data KW - artificial intelligence KW - machine learning KW - deep learning KW - precision medicine KW - expert systems KW - data science KW - health care providers UR - http://www.jmir.org/2019/3/e11732/ UR - http://dx.doi.org/10.2196/11732 UR - http://www.ncbi.nlm.nih.gov/pubmed/30888324 ID - info:doi/10.2196/11732 ER - TY - JOUR AU - Cosco, D. Theodore AU - Firth, Joseph AU - Vahia, Ipsit AU - Sixsmith, Andrew AU - Torous, John PY - 2019/03/19 TI - Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities JO - JMIR Aging SP - e10019 VL - 2 IS - 1 KW - mHealth KW - older adults KW - data collection KW - digital divide UR - http://aging.jmir.org/2019/1/e10019/ UR - http://dx.doi.org/10.2196/10019 UR - http://www.ncbi.nlm.nih.gov/pubmed/31518253 ID - info:doi/10.2196/10019 ER - TY - JOUR AU - Miller, Sascha AU - Ainsworth, Ben AU - Yardley, Lucy AU - Milton, Alex AU - Weal, Mark AU - Smith, Peter AU - Morrison, Leanne PY - 2019/02/15 TI - A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint JO - J Med Internet Res SP - e10966 VL - 21 IS - 2 KW - behavioral research KW - internet KW - health KW - patient engagement KW - data analysis UR - http://www.jmir.org/2019/2/e10966/ UR - http://dx.doi.org/10.2196/10966 UR - http://www.ncbi.nlm.nih.gov/pubmed/30767905 ID - info:doi/10.2196/10966 ER - TY - JOUR AU - Kang, Hyo-Jin AU - Han, Jieun AU - Kwon, Hyun Gyu PY - 2019/02/08 TI - An Ecological Approach to Smart Homes for Health Care Services: Conceptual Framework of a Smart Servicescape Wheel JO - JMIR Mhealth Uhealth SP - e12425 VL - 7 IS - 2 KW - health care information management KW - system analysis, smart homes for health care services KW - ecological approach KW - conceptual framework KW - smart servicescape wheel N2 - 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. UR - http://mhealth.jmir.org/2019/2/e12425/ UR - http://dx.doi.org/10.2196/12425 UR - http://www.ncbi.nlm.nih.gov/pubmed/30735145 ID - info:doi/10.2196/12425 ER - TY - JOUR AU - Mandl, D. Kenneth AU - Gottlieb, Daniel AU - Ellis, Alyssa PY - 2019/02/01 TI - Beyond One-Off Integrations: A Commercial, Substitutable, Reusable, Standards-Based, Electronic Health Record?Connected App JO - J Med Internet Res SP - e12902 VL - 21 IS - 2 KW - electronic medical records KW - application programming interfaces UR - http://www.jmir.org/2019/2/e12902/ UR - http://dx.doi.org/10.2196/12902 UR - http://www.ncbi.nlm.nih.gov/pubmed/30707097 ID - info:doi/10.2196/12902 ER - TY - JOUR AU - Hermes, DA Eric AU - Lyon, R. Aaron AU - Schueller, M. Stephen AU - Glass, E. Joseph PY - 2019/01/25 TI - Measuring the Implementation of Behavioral Intervention Technologies: Recharacterization of Established Outcomes JO - J Med Internet Res SP - e11752 VL - 21 IS - 1 KW - mobile applications KW - behavior therapy KW - technology KW - internet KW - telemedicine KW - diffusion of innovation KW - translational medical research KW - outcome assessment (health care) KW - review KW - implementation KW - behavioral intervention technology UR - http://www.jmir.org/2019/1/e11752/ UR - http://dx.doi.org/10.2196/11752 UR - http://www.ncbi.nlm.nih.gov/pubmed/30681966 ID - info:doi/10.2196/11752 ER - TY - JOUR AU - Pisani, R. Anthony AU - Kanuri, Nitya AU - Filbin, Bob AU - Gallo, Carlos AU - Gould, Madelyn AU - Lehmann, Soleymani Lisa AU - Levine, Robert AU - Marcotte, E. John AU - Pascal, Brian AU - Rousseau, David AU - Turner, Shairi AU - Yen, Shirley AU - Ranney, L. Megan PY - 2019/01/17 TI - Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line JO - J Med Internet Res SP - e11507 VL - 21 IS - 1 KW - data sharing KW - privacy KW - crisis intervention KW - text messaging KW - ethics, business KW - technology KW - industry KW - cooperative behavior KW - information dissemination UR - https://www.jmir.org/2019/1/e11507/ UR - http://dx.doi.org/10.2196/11507 UR - http://www.ncbi.nlm.nih.gov/pubmed/30664452 ID - info:doi/10.2196/11507 ER - TY - JOUR AU - Jimenez, Geronimo AU - Lum, Elaine AU - Car, Josip PY - 2019/1/16 TI - Examining Diabetes Management Apps Recommended From a Google Search: Content Analysis JO - JMIR Mhealth Uhealth SP - e11848 VL - 7 IS - 1 KW - chronic diseases KW - diabetes KW - Google KW - health apps KW - mobile phone N2 - 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. UR - http://mhealth.jmir.org/2019/1/e11848/ UR - http://dx.doi.org/10.2196/11848 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/11848 ER - TY - JOUR AU - Scholten, Hanneke AU - Granic, Isabela PY - 2019/01/14 TI - Use of the Principles of Design Thinking to Address Limitations of Digital Mental Health Interventions for Youth: Viewpoint JO - J Med Internet Res SP - e11528 VL - 21 IS - 1 KW - anxiety KW - depression KW - design thinking KW - e-mental health KW - youth UR - https://www.jmir.org/2019/1/e11528/ UR - http://dx.doi.org/10.2196/11528 UR - http://www.ncbi.nlm.nih.gov/pubmed/31344671 ID - info:doi/10.2196/11528 ER - TY - JOUR AU - Barteit, Sandra AU - Jahn, Albrecht AU - Banda, S. Sekelani AU - Bärnighausen, Till AU - Bowa, Annel AU - Chileshe, Geoffrey AU - Guzek, Dorota AU - Jorge, Mendes Margarida AU - Lüders, Sigrid AU - Malunga, Gregory AU - Neuhann, Florian PY - 2019/01/09 TI - E-Learning for Medical Education in Sub-Saharan Africa and Low-Resource Settings: Viewpoint JO - J Med Internet Res SP - e12449 VL - 21 IS - 1 KW - medical e-learning KW - technology-enhanced learning KW - blended learning KW - health workers KW - health system strengthening KW - universal health coverage KW - medical education KW - mHealth KW - eHealth KW - developing countries KW - sub-Saharan Africa KW - low-resource countries UR - http://www.jmir.org/2019/1/e12449/ UR - http://dx.doi.org/10.2196/12449 UR - http://www.ncbi.nlm.nih.gov/pubmed/30626565 ID - info:doi/10.2196/12449 ER - TY - JOUR AU - McMillan, Brian AU - Eastham, Robert AU - Brown, Benjamin AU - Fitton, Richard AU - Dickinson, David PY - 2018/12/19 TI - Primary Care Patient Records in the United Kingdom: Past, Present, and Future Research Priorities JO - J Med Internet Res SP - e11293 VL - 20 IS - 12 KW - primary care KW - access to records KW - medical records KW - computerized records UR - http://www.jmir.org/2018/12/e11293/ UR - http://dx.doi.org/10.2196/11293 UR - http://www.ncbi.nlm.nih.gov/pubmed/30567695 ID - info:doi/10.2196/11293 ER - TY - JOUR AU - Tang, Chunlei AU - Plasek, M. Joseph AU - Bates, W. David PY - 2018/11/22 TI - Rethinking Data Sharing at the Dawn of a Health Data Economy: A Viewpoint JO - J Med Internet Res SP - e11519 VL - 20 IS - 11 KW - economics, hospital KW - machine learning KW - models, economic KW - precision medicine UR - http://www.jmir.org/2018/11/e11519/ UR - http://dx.doi.org/10.2196/11519 UR - http://www.ncbi.nlm.nih.gov/pubmed/30467103 ID - info:doi/10.2196/11519 ER - TY - JOUR AU - Brinker, Josef Titus AU - Hekler, Achim AU - von Kalle, Christof AU - Schadendorf, Dirk AU - Esser, Stefan AU - Berking, Carola AU - Zacher, T. Martina AU - Sondermann, Wiebke AU - Grabe, Niels AU - Steeb, Theresa AU - Utikal, Sven Jochen AU - French, E. Lars AU - Enk, H. Alexander PY - 2018/10/24 TI - Teledermatology: Comparison of Store-and-Forward Versus Live Interactive Video Conferencing JO - J Med Internet Res SP - e11871 VL - 20 IS - 10 KW - teledermatology KW - live video conferencing KW - store-and-forward teledermatology KW - mobile phone KW - wait time KW - live interactive UR - http://www.jmir.org/2018/10/e11871/ UR - http://dx.doi.org/10.2196/11871 UR - http://www.ncbi.nlm.nih.gov/pubmed/30355564 ID - info:doi/10.2196/11871 ER - TY - JOUR AU - Fletcher, Kathryn AU - Foley, Fiona AU - Murray, Greg PY - 2018/10/24 TI - Web-Based Self-Management Programs for Bipolar Disorder: Insights From the Online, Recovery-Oriented Bipolar Individualised Tool Project JO - J Med Internet Res SP - e11160 VL - 20 IS - 10 KW - Web-based intervention KW - bipolar disorder KW - self-management N2 - 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. UR - http://www.jmir.org/2018/10/e11160/ UR - http://dx.doi.org/10.2196/11160 UR - http://www.ncbi.nlm.nih.gov/pubmed/30355553 ID - info:doi/10.2196/11160 ER - TY - JOUR AU - Lewis, D. Jaime AU - Fane, E. Kathleen AU - Ingraham, M. Angela AU - Khan, Ayesha AU - Mills, M. Anne AU - Pitt, C. Susan AU - Ramo, Danielle AU - Wu, I. Roseann AU - Pollart, M. Susan PY - 2018/07/23 TI - Expanding Opportunities for Professional Development: Utilization of Twitter by Early Career Women in Academic Medicine and Science JO - JMIR Med Educ SP - e11140 VL - 4 IS - 2 KW - female KW - leadership KW - social media KW - academic success KW - professional development UR - http://mededu.jmir.org/2018/2/e11140/ UR - http://dx.doi.org/10.2196/11140 UR - http://www.ncbi.nlm.nih.gov/pubmed/30037788 ID - info:doi/10.2196/11140 ER - TY - JOUR AU - Sartor, Francesco AU - Papini, Gabriele AU - Cox, Elisabeth Lieke Gertruda AU - Cleland, John PY - 2018/07/02 TI - Methodological Shortcomings of Wrist-Worn Heart Rate Monitors Validations JO - J Med Internet Res SP - e10108 VL - 20 IS - 7 KW - sensor technology KW - accuracy KW - wearable KW - telemonitoring UR - http://www.jmir.org/2018/7/e10108/ UR - http://dx.doi.org/10.2196/10108 UR - http://www.ncbi.nlm.nih.gov/pubmed/29967000 ID - info:doi/10.2196/10108 ER - TY - JOUR AU - Sarkar, Urmimala AU - Le, M. Gem AU - Lyles, R. Courtney AU - Ramo, Danielle AU - Linos, Eleni AU - Bibbins-Domingo, Kirsten PY - 2018/06/05 TI - Using Social Media to Target Cancer Prevention in Young Adults: Viewpoint JO - J Med Internet Res SP - e203 VL - 20 IS - 6 KW - cancer KW - prevention & control KW - young adult KW - behavior KW - social media UR - http://www.jmir.org/2018/6/e203/ UR - http://dx.doi.org/10.2196/jmir.8882 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/jmir.8882 ER - TY - JOUR AU - Ahmadvand, Alireza AU - Gatchel, Robert AU - Brownstein, John AU - Nissen, Lisa PY - 2018/05/18 TI - The Biopsychosocial-Digital Approach to Health and Disease: Call for a Paradigm Expansion JO - J Med Internet Res SP - e189 VL - 20 IS - 5 KW - digital health KW - digital technologies KW - Biopsychosocial Model to Health and Disease KW - human resources for health UR - http://www.jmir.org/2018/5/e189/ UR - http://dx.doi.org/10.2196/jmir.9732 UR - http://www.ncbi.nlm.nih.gov/pubmed/29776900 ID - info:doi/10.2196/jmir.9732 ER - TY - JOUR AU - Grande, W. Stuart AU - Sherman, D. Ledric PY - 2018/05/14 TI - Too Important to Ignore: Leveraging Digital Technology to Improve Chronic Illness Management Among Black Men JO - J Med Internet Res SP - e182 VL - 20 IS - 5 KW - black men KW - digital health KW - chronic illness UR - http://www.jmir.org/2018/5/e182/ UR - http://dx.doi.org/10.2196/jmir.9434 UR - http://www.ncbi.nlm.nih.gov/pubmed/29759956 ID - info:doi/10.2196/jmir.9434 ER - TY - JOUR AU - Brinker, Josef Titus AU - Rudolph, Stefanie AU - Richter, Daniela AU - von Kalle, Christof PY - 2018/05/11 TI - Patient-Centered Mobile Health Data Management Solution for the German Health Care System (The DataBox Project) JO - JMIR Cancer SP - e10160 VL - 4 IS - 1 KW - medical informatics KW - health data management UR - http://cancer.jmir.org/2018/1/e10160/ UR - http://dx.doi.org/10.2196/10160 UR - http://www.ncbi.nlm.nih.gov/pubmed/29752255 ID - info:doi/10.2196/10160 ER - TY - JOUR AU - Smischney, J. Nathan AU - Pannu, Jasleen AU - Hinds, F. Richard AU - McCormick, B. Jennifer PY - 2018/05/02 TI - Community Consultation for Planned Emergent Use Research: Experiences From an Academic Medical Center JO - JMIR Res Protoc SP - e10062 VL - 7 IS - 5 KW - qualitative research KW - research design KW - research ethics N2 - 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. UR - http://www.researchprotocols.org/2018/5/e10062/ UR - http://dx.doi.org/10.2196/10062 UR - http://www.ncbi.nlm.nih.gov/pubmed/29720360 ID - info:doi/10.2196/10062 ER - TY - JOUR AU - Young, D. Sean PY - 2018/04/30 TI - Social Media as a New Vital Sign: Commentary JO - J Med Internet Res SP - e161 VL - 20 IS - 4 KW - social media KW - big data KW - personal health records UR - http://www.jmir.org/2018/4/e161/ UR - http://dx.doi.org/10.2196/jmir.8563 UR - http://www.ncbi.nlm.nih.gov/pubmed/29712631 ID - info:doi/10.2196/jmir.8563 ER - TY - JOUR AU - Santarossa, Sara AU - Kane, Deborah AU - Senn, Y. Charlene AU - Woodruff, J. Sarah PY - 2018/04/11 TI - Exploring the Role of In-Person Components for Online Health Behavior Change Interventions: Can a Digital Person-to-Person Component Suffice? JO - J Med Internet Res SP - e144 VL - 20 IS - 4 KW - digital person-to-person KW - in-person KW - online intervention KW - behavior change KW - health, digital media KW - health care UR - http://www.jmir.org/2018/4/e144/ UR - http://dx.doi.org/10.2196/jmir.8480 UR - http://www.ncbi.nlm.nih.gov/pubmed/29643048 ID - info:doi/10.2196/jmir.8480 ER - TY - JOUR AU - Swinkels, Sophia Ilse Catharina AU - Huygens, Johanna Martine Wilhelmina AU - Schoenmakers, M. Tim AU - Oude Nijeweme-D'Hollosy, Wendy AU - van Velsen, Lex AU - Vermeulen, Joan AU - Schoone-Harmsen, Marian AU - Jansen, JFM Yvonne AU - van Schayck, CP Onno AU - Friele, Roland AU - de Witte, Luc PY - 2018/03/29 TI - Lessons Learned From a Living Lab on the Broad Adoption of eHealth in Primary Health Care JO - J Med Internet Res SP - e83 VL - 20 IS - 3 KW - telemedicine KW - primary health care KW - implementation KW - patient involvement KW - entrepreneurship KW - health personnel KW - policy makers N2 - 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. UR - http://www.jmir.org/2018/3/e83/ UR - http://dx.doi.org/10.2196/jmir.9110 UR - http://www.ncbi.nlm.nih.gov/pubmed/29599108 ID - info:doi/10.2196/jmir.9110 ER - TY - JOUR AU - Argent, Rob AU - Daly, Ailish AU - Caulfield, Brian PY - 2018/03/01 TI - Patient Involvement With Home-Based Exercise Programs: Can Connected Health Interventions Influence Adherence? JO - JMIR Mhealth Uhealth SP - e47 VL - 6 IS - 3 KW - patient compliance KW - rehabilitation KW - exercise therapy KW - biomedical technology KW - review UR - https://mhealth.jmir.org/2018/3/e47/ UR - http://dx.doi.org/10.2196/mhealth.8518 UR - http://www.ncbi.nlm.nih.gov/pubmed/29496655 ID - info:doi/10.2196/mhealth.8518 ER - TY - JOUR AU - Pan, Chih-Long AU - Lin, Chih-Hao AU - Lin, Yan-Ren AU - Wen, Hsin-Yu AU - Wen, Jet-Chau PY - 2018/02/02 TI - The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks JO - J Med Internet Res SP - e39 VL - 20 IS - 2 KW - social media KW - mass casualty incident KW - internet KW - sensor UR - https://www.jmir.org/2018/2/e39/ UR - http://dx.doi.org/10.2196/jmir.8249 UR - http://www.ncbi.nlm.nih.gov/pubmed/29396388 ID - info:doi/10.2196/jmir.8249 ER - TY - JOUR AU - Partridge, R. Stephanie AU - Gallagher, Patrick AU - Freeman, Becky AU - Gallagher, Robyn PY - 2018/01/17 TI - Facebook Groups for the Management of Chronic Diseases JO - J Med Internet Res SP - e21 VL - 20 IS - 1 KW - social media, prevention, intervention, Facebook UR - http://www.jmir.org/2018/1/e21/ UR - http://dx.doi.org/10.2196/jmir.7558 UR - http://www.ncbi.nlm.nih.gov/pubmed/29343460 ID - info:doi/10.2196/jmir.7558 ER - TY - JOUR AU - Loiselle, G. Carmen AU - Ahmed, Saima PY - 2017/11/10 TI - Is Connected Health Contributing to a Healthier Population? JO - J Med Internet Res SP - e386 VL - 19 IS - 11 KW - connected health KW - mHealth KW - eHealth KW - uHealth KW - ubiquitous health UR - http://www.jmir.org/2017/11/e386/ UR - http://dx.doi.org/10.2196/jmir.8309 UR - http://www.ncbi.nlm.nih.gov/pubmed/29127077 ID - info:doi/10.2196/jmir.8309 ER - TY - JOUR AU - Brinker, Josef Titus AU - Enk, Alexander AU - Gatzka, Martina AU - Nakamura, Yasuhiro AU - Sondermann, Wiebke AU - Omlor, Joachim Albert AU - Petri, Philip Maximilian AU - Karoglan, Ante AU - Seeger, Werner AU - Klode, Joachim AU - von Kalle, Christof AU - Schadendorf, Dirk PY - 2017/09/21 TI - A Dermatologist's Ammunition in the War Against Smoking: A Photoaging App JO - J Med Internet Res SP - e326 VL - 19 IS - 9 KW - dermatology KW - smoking KW - apps KW - photoaging KW - face KW - skin KW - tobacco KW - tobacco cessation KW - tobacco prevention UR - http://www.jmir.org/2017/9/e326/ UR - http://dx.doi.org/10.2196/jmir.8743 UR - http://www.ncbi.nlm.nih.gov/pubmed/28935619 ID - info:doi/10.2196/jmir.8743 ER - TY - JOUR AU - Payne, Philip AU - Lele, Omkar AU - Johnson, Beth AU - Holve, Erin PY - 2017/07/31 TI - Enabling Open Science for Health Research: Collaborative Informatics Environment for Learning on Health Outcomes (CIELO) JO - J Med Internet Res SP - e276 VL - 19 IS - 7 KW - healthcare research KW - information dissemination KW - open access to information KW - social networking KW - reproducibility of results N2 - 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. UR - http://www.jmir.org/2017/7/e276/ UR - http://dx.doi.org/10.2196/jmir.6937 UR - http://www.ncbi.nlm.nih.gov/pubmed/28760728 ID - info:doi/10.2196/jmir.6937 ER - TY - JOUR AU - Sheon, R. Amy AU - Bolen, D. Shari AU - Callahan, Bill AU - Shick, Sarah AU - Perzynski, T. Adam PY - 2017/07/13 TI - Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use JO - JMIR Diabetes SP - e16 VL - 2 IS - 2 KW - diabetes KW - chronic illness KW - vulnerable populations KW - digital divide KW - community health workers KW - healthcare disparities KW - patient portals KW - patient engagement KW - meaningful use KW - health literacy UR - http://diabetes.jmir.org/2017/2/e16/ UR - http://dx.doi.org/10.2196/diabetes.6751 UR - http://www.ncbi.nlm.nih.gov/pubmed/30291090 ID - info:doi/10.2196/diabetes.6751 ER - TY - JOUR AU - Michie, Susan AU - Yardley, Lucy AU - West, Robert AU - Patrick, Kevin AU - Greaves, Felix PY - 2017/06/29 TI - Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop JO - J Med Internet Res SP - e232 VL - 19 IS - 6 KW - health behavior KW - psychological theory KW - mobile applications KW - behavioral medicine KW - mHealth KW - eHealth UR - http://www.jmir.org/2017/6/e232/ UR - http://dx.doi.org/10.2196/jmir.7126 UR - http://www.ncbi.nlm.nih.gov/pubmed/28663162 ID - info:doi/10.2196/jmir.7126 ER - TY - JOUR AU - Chen, Yuzen Robert AU - Feltes, Robert Jordan AU - Tzeng, Shun William AU - Lu, Yunzhu Zoe AU - Pan, Michael AU - Zhao, Nan AU - Talkin, Rebecca AU - Javaherian, Kavon AU - Glowinski, Anne AU - Ross, Will PY - 2017/06/16 TI - Phone-Based Interventions in Adolescent Psychiatry: A Perspective and Proof of Concept Pilot Study With a Focus on Depression and Autism JO - JMIR Res Protoc SP - e114 VL - 6 IS - 6 KW - telemedicine KW - depression KW - autistic disorder KW - mobile applications KW - text messaging KW - child KW - mental health N2 - 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) UR - http://www.researchprotocols.org/2017/6/e114/ UR - http://dx.doi.org/10.2196/resprot.7245 UR - http://www.ncbi.nlm.nih.gov/pubmed/28623183 ID - info:doi/10.2196/resprot.7245 ER - TY - JOUR AU - Muench, Frederick AU - Baumel, Amit PY - 2017/05/26 TI - More Than a Text Message: Dismantling Digital Triggers to Curate Behavior Change in Patient-Centered Health Interventions JO - J Med Internet Res SP - e147 VL - 19 IS - 5 KW - alerts KW - digital triggers KW - text messaging KW - haptic triggers KW - reminder systems KW - push alerts KW - mHealth KW - mobile health KW - engagement KW - marketing KW - behavior change KW - behavioral medicine UR - http://www.jmir.org/2017/5/e147/ UR - http://dx.doi.org/10.2196/jmir.7463 UR - http://www.ncbi.nlm.nih.gov/pubmed/28550001 ID - info:doi/10.2196/jmir.7463 ER - TY - JOUR AU - Grönqvist, Helena AU - Olsson, Gustaf Erik Martin AU - Johansson, Birgitta AU - Held, Claes AU - Sjöström, Jonas AU - Lindahl Norberg, Annika AU - Hovén, Emma AU - Sanderman, Robbert AU - van Achterberg, Theo AU - von Essen, Louise PY - 2017/05/23 TI - Fifteen Challenges in Establishing a Multidisciplinary Research Program on eHealth Research in a University Setting: A Case Study JO - J Med Internet Res SP - e173 VL - 19 IS - 5 KW - organization and administration KW - eHealth KW - interdisciplinary studies N2 - 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. UR - http://www.jmir.org/2017/5/e173/ UR - http://dx.doi.org/10.2196/jmir.7310 UR - http://www.ncbi.nlm.nih.gov/pubmed/28536090 ID - info:doi/10.2196/jmir.7310 ER - TY - JOUR AU - Mohr, C. David AU - Lyon, R. Aaron AU - Lattie, G. Emily AU - Reddy, Madhu AU - Schueller, M. Stephen PY - 2017/05/10 TI - Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment JO - J Med Internet Res SP - e153 VL - 19 IS - 5 KW - eHealth KW - mHealth KW - methodology UR - http://www.jmir.org/2017/5/e153/ UR - http://dx.doi.org/10.2196/jmir.7725 UR - http://www.ncbi.nlm.nih.gov/pubmed/28490417 ID - info:doi/10.2196/jmir.7725 ER - TY - JOUR AU - Ellis, A. Jennifer PY - 2017/05/05 TI - Leveraging Mobile Phones for Monitoring Risks for Noncommunicable Diseases in the Future JO - J Med Internet Res SP - e137 VL - 19 IS - 5 KW - mHealth KW - low- and middle-income countries KW - noncommunicable diseases KW - health systems strengthening UR - http://www.jmir.org/2017/5/e137/ UR - http://dx.doi.org/10.2196/jmir.7622 UR - http://www.ncbi.nlm.nih.gov/pubmed/28476721 ID - info:doi/10.2196/jmir.7622 ER - TY - JOUR AU - Tarzia, Laura AU - Valpied, Jodie AU - Koziol-McLain, Jane AU - Glass, Nancy AU - Hegarty, Kelsey PY - 2017/03/28 TI - Methodological and Ethical Challenges in a Web-Based Randomized Controlled Trial of a Domestic Violence Intervention JO - J Med Internet Res SP - e94 VL - 19 IS - 3 KW - eHealth KW - domestic violence KW - web-based trials KW - research design KW - ethics, research UR - http://www.jmir.org/2017/3/e94/ UR - http://dx.doi.org/10.2196/jmir.7039 UR - http://www.ncbi.nlm.nih.gov/pubmed/28351830 ID - info:doi/10.2196/jmir.7039 ER - TY - JOUR AU - Cahan, Amos AU - Cimino, J. James PY - 2017/03/08 TI - A Learning Health Care System Using Computer-Aided Diagnosis JO - J Med Internet Res SP - e54 VL - 19 IS - 3 KW - diagnostic errors KW - diagnosis, computer-assisted KW - decision support systems, clinical KW - pattern recognition, automated KW - knowledge bases KW - knowledge management KW - diagnosis support systems KW - crowdsourcing KW - structured knowledge representation UR - http://www.jmir.org/2017/3/e54/ UR - http://dx.doi.org/10.2196/jmir.6663 UR - http://www.ncbi.nlm.nih.gov/pubmed/28274905 ID - info:doi/10.2196/jmir.6663 ER - TY - JOUR AU - Rumbold, Michael John Mark AU - Pierscionek, Barbara PY - 2017/02/24 TI - The Effect of the General Data Protection Regulation on Medical Research JO - J Med Internet Res SP - e47 VL - 19 IS - 2 KW - pseudonymity KW - anonymity KW - untraceability KW - privacy-preserving protocols KW - informatics KW - data reporting KW - data protection KW - research ethics N2 - 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. UR - http://www.jmir.org/2017/2/e47/ UR - http://dx.doi.org/10.2196/jmir.7108 UR - http://www.ncbi.nlm.nih.gov/pubmed/28235748 ID - info:doi/10.2196/jmir.7108 ER - TY - JOUR AU - Torous, John AU - Nebeker, Camille PY - 2017/02/08 TI - Navigating Ethics in the Digital Age: Introducing Connected and Open Research Ethics (CORE), a Tool for Researchers and Institutional Review Boards JO - J Med Internet Res SP - e38 VL - 19 IS - 2 KW - ethics, research KW - mHealth KW - research KW - mobile technologies KW - telemedicine UR - http://www.jmir.org/2017/2/e38/ UR - http://dx.doi.org/10.2196/jmir.6793 UR - http://www.ncbi.nlm.nih.gov/pubmed/28179216 ID - info:doi/10.2196/jmir.6793 ER - TY - JOUR AU - Bloss, Cinnamon AU - Nebeker, Camille AU - Bietz, Matthew AU - Bae, Deborah AU - Bigby, Barbara AU - Devereaux, Mary AU - Fowler, James AU - Waldo, Ann AU - Weibel, Nadir AU - Patrick, Kevin AU - Klemmer, Scott AU - Melichar, Lori PY - 2016/12/22 TI - Reimagining Human Research Protections for 21st Century Science JO - J Med Internet Res SP - e329 VL - 18 IS - 12 KW - ethics committees, research KW - biomedical research KW - telemedicine KW - informed consent KW - behavioral research N2 - 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. UR - http://www.jmir.org/2016/12/e329/ UR - http://dx.doi.org/10.2196/jmir.6634 UR - http://www.ncbi.nlm.nih.gov/pubmed/28007687 ID - info:doi/10.2196/jmir.6634 ER - TY - JOUR AU - Celi, Anthony Leo AU - Davidzon, Guido AU - Johnson, EW Alistair AU - Komorowski, Matthieu AU - Marshall, C. Dominic AU - Nair, S. Sunil AU - Phillips, T. Colin AU - Pollard, J. Tom AU - Raffa, D. Jesse AU - Salciccioli, D. Justin AU - Salgueiro, Muge Francisco AU - Stone, J. David PY - 2016/12/20 TI - Bridging the Health Data Divide JO - J Med Internet Res SP - e325 VL - 18 IS - 12 KW - electronic health records KW - machine learning KW - health care policy KW - medical education KW - collaboration UR - http://www.jmir.org/2016/12/e325/ UR - http://dx.doi.org/10.2196/jmir.6400 UR - http://www.ncbi.nlm.nih.gov/pubmed/27998877 ID - info:doi/10.2196/jmir.6400 ER - TY - JOUR AU - Mummah, Ann Sarah AU - Robinson, N. Thomas AU - King, C. Abby AU - Gardner, D. Christopher AU - Sutton, Stephen PY - 2016/12/16 TI - IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior JO - J Med Internet Res SP - e317 VL - 18 IS - 12 KW - health behavior KW - design thinking KW - user-centered design KW - behavioral theory KW - behavior change techniques KW - digital interventions KW - mobile phones KW - digital health KW - telemedicine KW - diet KW - exercise KW - weight loss KW - smoking cessation KW - medication adherence KW - sleep KW - obesity UR - http://www.jmir.org/2016/12/e317/ UR - http://dx.doi.org/10.2196/jmir.5927 UR - http://www.ncbi.nlm.nih.gov/pubmed/27986647 ID - info:doi/10.2196/jmir.5927 ER - TY - JOUR AU - Colorafi, Karen AU - Bailey, Bryan PY - 2016/11/02 TI - It?s Time for Innovation in the Health Insurance Portability and Accountability Act (HIPAA) JO - JMIR Med Inform SP - e34 VL - 4 IS - 4 KW - innovation KW - HIPAA KW - electronic health record demonstration UR - http://medinform.jmir.org/2016/4/e34/ UR - http://dx.doi.org/10.2196/medinform.6372 UR - http://www.ncbi.nlm.nih.gov/pubmed/27806923 ID - info:doi/10.2196/medinform.6372 ER - TY - JOUR AU - Kesse-Guyot, Emmanuelle AU - Assmann, Karen AU - Andreeva, Valentina AU - Castetbon, Katia AU - Méjean, Caroline AU - Touvier, Mathilde AU - Salanave, Benoît AU - Deschamps, Valérie AU - Péneau, Sandrine AU - Fezeu, Léopold AU - Julia, Chantal AU - Allčs, Benjamin AU - Galan, Pilar AU - Hercberg, Serge PY - 2016/10/18 TI - Lessons Learned From Methodological Validation Research in E-Epidemiology JO - JMIR Public Health Surveill SP - e160 VL - 2 IS - 2 KW - cohort studies KW - bias, epidemiology N2 - 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-Santé study, a French Web-based cohort study. Methods: On the basis of the previous findings from the NutriNet-Santé 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-Santé cohort may help researchers in the development of the next generation of high-quality Web-based epidemiological studies. UR - http://publichealth.jmir.org/2016/2/e160/ UR - http://dx.doi.org/10.2196/publichealth.5880 UR - http://www.ncbi.nlm.nih.gov/pubmed/27756715 ID - info:doi/10.2196/publichealth.5880 ER - TY - JOUR AU - Pathipati, S. Akhilesh AU - Azad, D. Tej AU - Jethwani, Kamal PY - 2016/07/12 TI - Telemedical Education: Training Digital Natives in Telemedicine JO - J Med Internet Res SP - e193 VL - 18 IS - 7 KW - telemedicine KW - medical education KW - medical school KW - curriculum reform UR - http://www.jmir.org/2016/7/e193/ UR - http://dx.doi.org/10.2196/jmir.5534 UR - http://www.ncbi.nlm.nih.gov/pubmed/27405323 ID - info:doi/10.2196/jmir.5534 ER - TY - JOUR AU - Van Poucke, Sven AU - Thomeer, Michiel AU - Heath, John AU - Vukicevic, Milan PY - 2016/07/06 TI - Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics JO - J Med Internet Res SP - e185 VL - 18 IS - 7 KW - randomized controlled trials KW - data mining KW - big data KW - predictive analytics KW - algorithm KW - modeling KW - ensemble methods UR - http://www.jmir.org/2016/7/e185/ UR - http://dx.doi.org/10.2196/jmir.5549 UR - http://www.ncbi.nlm.nih.gov/pubmed/27383622 ID - info:doi/10.2196/jmir.5549 ER - TY - JOUR AU - Watson, Bekeela AU - Robinson, H.Z Dana AU - Harker, Laura AU - Arriola, Jacob Kimberly R. PY - 2016/06/22 TI - The Inclusion of African-American Study Participants in Web-Based Research Studies: Viewpoint JO - J Med Internet Res SP - e168 VL - 18 IS - 6 KW - Web-based interventions KW - African-Americans KW - social media KW - Internet KW - research techniques UR - http://www.jmir.org/2016/6/e168/ UR - http://dx.doi.org/10.2196/jmir.5486 UR - http://www.ncbi.nlm.nih.gov/pubmed/27334683 ID - info:doi/10.2196/jmir.5486 ER - TY - JOUR AU - Lea, Christopher Nathan AU - Nicholls, Jacqueline AU - Dobbs, Christine AU - Sethi, Nayha AU - Cunningham, James AU - Ainsworth, John AU - Heaven, Martin AU - Peacock, Trevor AU - Peacock, Anthony AU - Jones, Kerina AU - Laurie, Graeme AU - Kalra, Dipak PY - 2016/06/21 TI - Data Safe Havens and Trust: Toward a Common Understanding of Trusted Research Platforms for Governing Secure and Ethical Health Research JO - JMIR Med Inform SP - e22 VL - 4 IS - 2 KW - trusted research platforms KW - data safe havens KW - trusted researchers KW - legislative and regulatory compliance KW - public engagement KW - public involvement KW - clinical research support KW - health record linkage supported research KW - genomics research support UR - http://medinform.jmir.org/2016/2/e22/ UR - http://dx.doi.org/10.2196/medinform.5571 UR - http://www.ncbi.nlm.nih.gov/pubmed/27329087 ID - info:doi/10.2196/medinform.5571 ER - TY - JOUR AU - Hong, Alicia Yan PY - 2016/05/23 TI - Medical Tourism and Telemedicine: A New Frontier of an Old Business JO - J Med Internet Res SP - e115 VL - 18 IS - 5 KW - E-hospital KW - medical tourism KW - telemedicine KW - ethics UR - http://www.jmir.org/2016/5/e115/ UR - http://dx.doi.org/10.2196/jmir.5432 UR - http://www.ncbi.nlm.nih.gov/pubmed/27215230 ID - info:doi/10.2196/jmir.5432 ER - TY - JOUR AU - Allen, Nelson Luke AU - Christie, Pepall Gillian PY - 2016/05/10 TI - The Emergence of Personalized Health Technology JO - J Med Internet Res SP - e99 VL - 18 IS - 5 KW - personalized health technology KW - population health KW - frugal innovation KW - ethics KW - socioeconomic factors, inequalities KW - technology, health UR - http://www.jmir.org/2016/5/e99/ UR - http://dx.doi.org/10.2196/jmir.5357 UR - http://www.ncbi.nlm.nih.gov/pubmed/27165944 ID - info:doi/10.2196/jmir.5357 ER - TY - JOUR AU - Collins, Heather AU - Calvo, Sherri AU - Greenberg, Kathleen AU - Forman Neall, Lisa AU - Morrison, Stephanie PY - 2016/04/27 TI - Information Needs in the Precision Medicine Era: How Genetics Home Reference Can Help JO - Interact J Med Res SP - e13 VL - 5 IS - 2 KW - individualized medicine KW - patient education as topic KW - databases, genetic KW - health resources UR - http://www.i-jmr.org/2016/2/e13/ UR - http://dx.doi.org/10.2196/ijmr.5199 UR - http://www.ncbi.nlm.nih.gov/pubmed/27122232 ID - info:doi/10.2196/ijmr.5199 ER - TY - JOUR AU - Bosworth, B. Hayden AU - Zullig, L. Leah AU - Mendys, Phil AU - Ho, Michael AU - Trygstad, Troy AU - Granger, Christopher AU - Oakes, M. Megan AU - Granger, B. Bradi PY - 2016/03/15 TI - Health Information Technology: Meaningful Use and Next Steps to Improving Electronic Facilitation of Medication Adherence JO - JMIR Med Inform SP - e9 VL - 4 IS - 1 KW - medication adherence KW - compliance KW - health information technology N2 - 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. UR - http://medinform.jmir.org/2016/1/e9/ UR - http://dx.doi.org/10.2196/medinform.4326 UR - http://www.ncbi.nlm.nih.gov/pubmed/26980270 ID - info:doi/10.2196/medinform.4326 ER - TY - JOUR AU - Kunkle, Sarah AU - Christie, Gillian AU - Yach, Derek AU - El-Sayed, M. Abdulrahman PY - 2016/03/14 TI - The Importance of Computer Science for Public Health Training: An Opportunity and Call to Action JO - JMIR Public Health Surveill SP - e10 VL - 2 IS - 1 KW - digital health KW - public health KW - machine learning KW - computer science KW - health technology KW - chronic disease UR - http://publichealth.jmir.org/2016/1/e10/ UR - http://dx.doi.org/10.2196/publichealth.5018 UR - http://www.ncbi.nlm.nih.gov/pubmed/27227145 ID - info:doi/10.2196/publichealth.5018 ER - TY - JOUR AU - Dinesen, Birthe AU - Nonnecke, Brandie AU - Lindeman, David AU - Toft, Egon AU - Kidholm, Kristian AU - Jethwani, Kamal AU - Young, M. Heather AU - Spindler, Helle AU - Oestergaard, Ugilt Claus AU - Southard, A. Jeffrey AU - Gutierrez, Mario AU - Anderson, Nick AU - Albert, M. Nancy AU - Han, J. Jay AU - Nesbitt, Thomas PY - 2016/03/01 TI - Personalized Telehealth in the Future: A Global Research Agenda JO - J Med Internet Res SP - e53 VL - 18 IS - 3 KW - telehealth KW - research KW - individualized medicine KW - telemonitoring KW - prevention KW - mobile phone UR - http://www.jmir.org/2016/3/e53/ UR - http://dx.doi.org/10.2196/jmir.5257 UR - http://www.ncbi.nlm.nih.gov/pubmed/26932229 ID - info:doi/10.2196/jmir.5257 ER - TY - JOUR AU - Gay, Valerie AU - Leijdekkers, Peter PY - 2015/11/18 TI - Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability JO - J Med Internet Res SP - e260 VL - 17 IS - 11 KW - health informatics KW - connected health KW - pervasive and mobile computing KW - ubiquitous and mobile devices N2 - 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. UR - http://www.jmir.org/2015/11/e260/ UR - http://dx.doi.org/10.2196/jmir.5094 UR - http://www.ncbi.nlm.nih.gov/pubmed/26581920 ID - info:doi/10.2196/jmir.5094 ER - TY - JOUR AU - Avis, LS Jillian AU - van Mierlo, Trevor AU - Fournier, Rachel AU - Ball, DC Geoff PY - 2015/07/31 TI - Lessons Learned From Using Focus Groups to Refine Digital Interventions JO - JMIR Res Protoc SP - e95 VL - 4 IS - 3 KW - data collection KW - digital interventions KW - focus groups KW - health care KW - Internet KW - qualitative research UR - http://www.researchprotocols.org/2015/3/e95/ UR - http://dx.doi.org/10.2196/resprot.4404 UR - http://www.ncbi.nlm.nih.gov/pubmed/26232313 ID - info:doi/10.2196/resprot.4404 ER - TY - JOUR AU - Ludden, DS Geke AU - van Rompay, JL Thomas AU - Kelders, M. Saskia AU - van Gemert-Pijnen, EWC Julia PY - 2015/07/10 TI - How to Increase Reach and Adherence of Web-Based Interventions: A Design Research Viewpoint JO - J Med Internet Res SP - e172 VL - 17 IS - 7 KW - Web-based interventions KW - adherence KW - design for well-being KW - metaphors KW - personalization KW - ambient information UR - http://www.jmir.org/2015/7/e172/ UR - http://dx.doi.org/10.2196/jmir.4201 UR - http://www.ncbi.nlm.nih.gov/pubmed/26163456 ID - info:doi/10.2196/jmir.4201 ER - TY - JOUR AU - Li, Jingquan PY - 2015/07/08 TI - A Privacy Preservation Model for Health-Related Social Networking Sites JO - J Med Internet Res SP - e168 VL - 17 IS - 7 KW - social networks KW - privacy KW - security KW - threat modeling KW - privacy preservation model KW - electronic health records KW - health care UR - http://www.jmir.org/2015/7/e168/ UR - http://dx.doi.org/10.2196/jmir.3973 UR - http://www.ncbi.nlm.nih.gov/pubmed/26155953 ID - info:doi/10.2196/jmir.3973 ER - TY - JOUR AU - Carey, Mariko AU - Noble, Natasha AU - Mansfield, Elise AU - Waller, Amy AU - Henskens, Frans AU - Sanson-Fisher, Rob PY - 2015/05/22 TI - The Role of eHealth in Optimizing Preventive Care in the Primary Care Setting JO - J Med Internet Res SP - e126 VL - 17 IS - 5 KW - eHealth KW - Internet KW - prevention KW - general practice KW - family practice KW - evidence-based practice UR - http://www.jmir.org/2015/5/e126/ UR - http://dx.doi.org/10.2196/jmir.3817 UR - http://www.ncbi.nlm.nih.gov/pubmed/26001983 ID - info:doi/10.2196/jmir.3817 ER - TY - JOUR AU - Pugh, A. Carys AU - Summers, M. Kim AU - Bronsvoort, C. B. Mark AU - Handel, G. Ian AU - Clements, N. Dylan PY - 2015/04/16 TI - Validity of Internet-Based Longitudinal Study Data: The Elephant in the Virtual Room JO - J Med Internet Res SP - e96 VL - 17 IS - 4 KW - epidemiology KW - validation studies as topic KW - Internet KW - questionnaires KW - longitudinal studies KW - health KW - canine N2 - 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. UR - http://www.jmir.org/2015/4/e96/ UR - http://dx.doi.org/10.2196/jmir.3530 UR - http://www.ncbi.nlm.nih.gov/pubmed/25887101 ID - info:doi/10.2196/jmir.3530 ER - TY - JOUR AU - Tillmann, Taavi AU - Gibson, R. Alexander AU - Scott, Gregory AU - Harrison, Oliver AU - Dominiczak, Anna AU - Hanlon, Phil PY - 2015/03/23 TI - Systems Medicine 2.0: Potential Benefits of Combining Electronic Health Care Records With Systems Science Models JO - J Med Internet Res SP - e64 VL - 17 IS - 3 KW - gene-environment interaction KW - systems theory KW - electronic health records KW - epidemiology KW - online social networks KW - crowd-sourcing KW - Web 2.0 N2 - 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. UR - http://www.jmir.org/2015/3/e64/ UR - http://dx.doi.org/10.2196/jmir.3082 UR - http://www.ncbi.nlm.nih.gov/pubmed/25831125 ID - info:doi/10.2196/jmir.3082 ER - TY - JOUR AU - Badran, Hani AU - Pluye, Pierre AU - Grad, Roland PY - 2015/02/27 TI - Advantages and Disadvantages of Educational Email Alerts for Family Physicians: Viewpoint JO - J Med Internet Res SP - e49 VL - 17 IS - 2 KW - theory of planned behavior KW - continuing medical education KW - educational email alerts KW - electronic knowledge resources KW - family physicians KW - health informatics KW - knowledge translation KW - primary health care N2 - 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. UR - http://www.jmir.org/2015/2/e49/ UR - http://dx.doi.org/10.2196/jmir.3773 UR - http://www.ncbi.nlm.nih.gov/pubmed/25803184 ID - info:doi/10.2196/jmir.3773 ER - TY - JOUR AU - Graafland, Maurits AU - Dankbaar, Mary AU - Mert, Agali AU - Lagro, Joep AU - De Wit-Zuurendonk, Laura AU - Schuit, Stephanie AU - Schaafstal, Alma AU - Schijven, Marlies PY - 2014/11/11 TI - How to Systematically Assess Serious Games Applied to Health Care JO - JMIR Serious Games SP - e11 VL - 2 IS - 2 KW - consensus KW - serious game KW - applied game KW - telehealth KW - mobile health KW - video game UR - http://games.jmir.org/2014/2/e11/ UR - http://dx.doi.org/10.2196/games.3825 UR - http://www.ncbi.nlm.nih.gov/pubmed/25654163 ID - info:doi/10.2196/games.3825 ER - TY - JOUR AU - Moseley, T. Edward AU - Hsu, J. Douglas AU - Stone, J. David AU - Celi, Anthony Leo PY - 2014/11/11 TI - Beyond Open Big Data: Addressing Unreliable Research JO - J Med Internet Res SP - e259 VL - 16 IS - 11 KW - open data KW - unreliable research KW - collaborative learning KW - knowledge discovery KW - peer review KW - research culture UR - http://www.jmir.org/2014/11/e259/ UR - http://dx.doi.org/10.2196/jmir.3871 UR - http://www.ncbi.nlm.nih.gov/pubmed/25405277 ID - info:doi/10.2196/jmir.3871 ER - TY - JOUR AU - Smits, Rochelle AU - Bryant, Jamie AU - Sanson-Fisher, Rob AU - Tzelepis, Flora AU - Henskens, Frans AU - Paul, Christine AU - Stevenson, William PY - 2014/03/14 TI - Tailored and Integrated Web-Based Tools for Improving Psychosocial Outcomes of Cancer Patients: The DoTTI Development Framework JO - J Med Internet Res SP - e76 VL - 16 IS - 3 KW - Internet KW - consumer health information KW - health literacy KW - medical informatics KW - neoplasms KW - communication N2 - 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. UR - http://www.jmir.org/2014/3/e76/ UR - http://dx.doi.org/10.2196/jmir.2849 UR - http://www.ncbi.nlm.nih.gov/pubmed/24641991 ID - info:doi/10.2196/jmir.2849 ER - TY - JOUR AU - Baker, B. Timothy AU - Gustafson, H. David AU - Shah, Dhavan PY - 2014/02/19 TI - How Can Research Keep Up With eHealth? Ten Strategies for Increasing the Timeliness and Usefulness of eHealth Research JO - J Med Internet Res SP - e36 VL - 16 IS - 2 KW - social media KW - Internet KW - randomized clinical trials KW - experimental designs KW - research techniques KW - patient education KW - patient engagement KW - health communication KW - telemedicine N2 - 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. UR - http://www.jmir.org/2014/2/e36/ UR - http://dx.doi.org/10.2196/jmir.2925 UR - http://www.ncbi.nlm.nih.gov/pubmed/24554442 ID - info:doi/10.2196/jmir.2925 ER - TY - JOUR AU - Putora, Martin Paul AU - Oldenburg, Jan PY - 2013/09/19 TI - Swarm-Based Medicine JO - J Med Internet Res SP - e207 VL - 15 IS - 9 KW - swarm KW - evidence KW - eminence KW - guidelines KW - recommendations UR - http://www.jmir.org/2013/9/e207/ UR - http://dx.doi.org/10.2196/jmir.2452 UR - http://www.ncbi.nlm.nih.gov/pubmed/24052454 ID - info:doi/10.2196/jmir.2452 ER - TY - JOUR AU - Brumen, Bostjan AU - Heri?ko, Marjan AU - Rozman, Ivan AU - Hölbl, Marko PY - 2013/08/13 TI - Security Analysis and Improvements to the PsychoPass Method JO - J Med Internet Res SP - e161 VL - 15 IS - 8 KW - security KW - passwords KW - cryptanalysis N2 - 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. UR - http://www.jmir.org/2013/8/e161/ UR - http://dx.doi.org/10.2196/jmir.2366 UR - http://www.ncbi.nlm.nih.gov/pubmed/23942458 ID - info:doi/10.2196/jmir.2366 ER - TY - JOUR AU - Scott, E. Richard AU - Mars, Maurice PY - 2013/07/30 TI - Principles and Framework for eHealth Strategy Development JO - J Med Internet Res SP - e155 VL - 15 IS - 7 KW - eHealth strategy KW - eHealth strategy development framework KW - eHealth KW - telehealth KW - telemedicine KW - e-learning UR - http://www.jmir.org/2013/7/e155/ UR - http://dx.doi.org/10.2196/jmir.2250 UR - http://www.ncbi.nlm.nih.gov/pubmed/23900066 ID - info:doi/10.2196/jmir.2250 ER - TY - JOUR AU - Zhong, Daidi AU - Kirwan, J. Michael AU - Duan, Xiaolian PY - 2013/07/12 TI - Regulatory Barriers Blocking Standardization of Interoperability JO - JMIR Mhealth Uhealth SP - e13 VL - 1 IS - 2 KW - medical device regulation KW - device interoperability KW - personal health device KW - standardization UR - http://mhealth.jmir.org/2013/2/e13/ UR - http://dx.doi.org/10.2196/mhealth.2654 UR - http://www.ncbi.nlm.nih.gov/pubmed/25098204 ID - info:doi/10.2196/mhealth.2654 ER - TY - JOUR AU - van Limburg, Maarten AU - van Gemert-Pijnen, EWC Julia AU - Nijland, Nicol AU - Ossebaard, C. Hans AU - Hendrix, MG Ron AU - Seydel, R. Erwin PY - 2011/12/28 TI - Why Business Modeling is Crucial in the Development of eHealth Technologies JO - J Med Internet Res SP - e124 VL - 13 IS - 4 KW - Business model KW - cocreation KW - collaboration KW - eHealth KW - implementation KW - multidisciplinary KW - stakeholder KW - sustainability KW - value creation N2 - 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. UR - http://www.jmir.org/2011/4/e124/ UR - http://dx.doi.org/10.2196/jmir.1674 UR - http://www.ncbi.nlm.nih.gov/pubmed/22204896 ID - info:doi/10.2196/jmir.1674 ER - TY - JOUR AU - van Gemert-Pijnen, EWC Julia AU - Nijland, Nicol AU - van Limburg, Maarten AU - Ossebaard, C. Hans AU - Kelders, M. Saskia AU - Eysenbach, Gunther AU - Seydel, R. Erwin PY - 2011/12/13 TI - A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies JO - J Med Internet Res SP - e111 VL - 13 IS - 4 KW - eHealth KW - design KW - participation KW - implementation KW - evaluation KW - multidisciplinary approach KW - Health 2.0 KW - Wiki KW - e-collaboration N2 - 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. UR - http://www.jmir.org/2011/4/e111/ UR - http://dx.doi.org/10.2196/jmir.1672 UR - http://www.ncbi.nlm.nih.gov/pubmed/22155738 ID - info:doi/10.2196/jmir.1672 ER - TY - JOUR AU - Zanaboni, Paolo AU - Lettieri, Emanuele PY - 2011/09/28 TI - Institutionalizing Telemedicine Applications: The Challenge of Legitimizing Decision-Making JO - J Med Internet Res SP - e72 VL - 13 IS - 3 KW - Telemedicine KW - decision making KW - institutionalization KW - technology assessment KW - implementation KW - program sustainability UR - http://www.jmir.org/2011/3/e72/ UR - http://dx.doi.org/10.2196/jmir.1669 UR - http://www.ncbi.nlm.nih.gov/pubmed/21955510 ID - info:doi/10.2196/jmir.1669 ER - TY - JOUR AU - Kuo, Mu-Hsing Alex PY - 2011/09/21 TI - Opportunities and Challenges of Cloud Computing to Improve Health Care Services JO - J Med Internet Res SP - e67 VL - 13 IS - 3 KW - Health care KW - electronic health record KW - cloud computing KW - bioinformatics KW - quality improvement UR - http://www.jmir.org/2011/3/e67/ UR - http://dx.doi.org/10.2196/jmir.1867 UR - http://www.ncbi.nlm.nih.gov/pubmed/21937354 ID - info:doi/10.2196/jmir.1867 ER -