@Article{info:doi/10.2196/17578,
author="Eysenbach, Gunther",
title="Celebrating 20 Years of Open Access and Innovation at JMIR Publications",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="23",
volume="21",
number="12",
pages="e17578",
keywords="JMIR",
keywords="internet",
keywords="medical informatics",
keywords="ehealth",
keywords="digital health",
keywords="participatory medicine",
keywords="open access",
keywords="electronic publishing",
keywords="scholarly publishing",
keywords="science communication",
keywords="journalogy",
keywords="history of science",
keywords="overlay journal",
keywords="preprints",
keywords="open science",
doi="10.2196/17578",
url="http://www.jmir.org/2019/12/e17578/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31868653"
}


@Article{info:doi/10.2196/16532,
author="Wyatt, C. Jeremy",
title="Preserving the Open Access Benefits Pioneered by the Journal of Medical Internet Research and Discouraging Fraudulent Journals",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="23",
volume="21",
number="12",
pages="e16532",
keywords="open access",
keywords="predatory journals",
keywords="knowledge management",
keywords="scientific journals",
keywords="mobilizing computable knowledge",
keywords="fraudulent journals",
doi="10.2196/16532",
url="http://www.jmir.org/2019/12/e16532/"
}


@Article{info:doi/10.2196/16630,
author="Willcox, C. Jane
and Dobson, Rosie
and Whittaker, Robyn",
title="Old-Fashioned Technology in the Era of ``Bling'': Is There a Future for Text Messaging in Health Care?",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="20",
volume="21",
number="12",
pages="e16630",
keywords="text messaging",
keywords="mHealth",
keywords="behavior change",
keywords="digital health",
doi="10.2196/16630",
url="http://www.jmir.org/2019/12/e16630/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31859678"
}


@Article{info:doi/10.2196/16689,
author="Borycki, Elizabeth",
title="Quality and Safety in eHealth: The Need to Build the Evidence Base",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="19",
volume="21",
number="12",
pages="e16689",
keywords="patient safety",
keywords="technology-induced error",
keywords="health technology",
doi="10.2196/16689",
url="http://www.jmir.org/2019/12/e16689/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31855183"
}


@Article{info:doi/10.2196/16661,
author="Pagoto, Sherry
and Waring, E. Molly
and Xu, Ran",
title="A Call for a Public Health Agenda for Social Media Research",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="19",
volume="21",
number="12",
pages="e16661",
keywords="social media",
keywords="online social networks",
keywords="health information",
keywords="health communication",
doi="10.2196/16661",
url="http://www.jmir.org/2019/12/e16661/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31855185"
}


@Article{info:doi/10.2196/16093,
author="Greenhalgh, Trisha
and Wherton, Joseph
and Shaw, Sara
and Papoutsi, Chrysanthi
and Vijayaraghavan, Shanti
and Stones, Rob",
title="Infrastructure Revisited: An Ethnographic Case Study of how Health Information Infrastructure Shapes and Constrains Technological Innovation",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="19",
volume="21",
number="12",
pages="e16093",
keywords="information infrastructure",
keywords="structuration theory",
keywords="video consultations",
keywords="neo-institutional theory",
keywords="organizational ethnography",
keywords="hidden work",
keywords="actor-network theory",
abstract="Background: Star defined infrastructure as something other things ``run on''; it consists mainly of ``boring things.'' Building on her classic 1999 paper, and acknowledging contemporary developments in technologies, services, and systems, we developed a new theorization of health information infrastructure with five defining characteristics: (1) a material scaffolding, backgrounded when working and foregrounded upon breakdown; (2) embedded, relational, and emergent; (3) collectively learned, known, and practiced (through technologically-supported cooperative work and organizational routines); (4) patchworked (incrementally built and fixed) and path-dependent (influenced by technical and socio-cultural legacies); and (5) institutionally supported and sustained (eg, embodying standards negotiated and overseen by regulatory and professional bodies). Objective: Our theoretical objective was, in a health care context, to explore what information infrastructure is and how it shapes, supports, and constrains technological innovation. Our empirical objective was to examine the challenges of implementing and scaling up video consultation services. Methods: In this naturalistic case study, we collected a total of 450 hours of ethnographic observations, over 100 interviews, and about 100 local and national documents over 54 months. Sensitized by the characteristics of infrastructure, we sought examples of infrastructural challenges that had slowed implementation and scale-up. We arranged data thematically to gain familiarity before undertaking an analysis informed by strong structuration, neo-institutional, and social practice theories, together with elements taken from the actor-network theory. Results: We documented scale-up challenges at three different sites in our original case study, all of which relate to ``boring things'': the selection of a platform to support video-mediated consultations, the replacement of desktop computers with virtual desktop infrastructure profiles, and problems with call quality. In a fourth subcase, configuration issues with licensed video-conferencing software limited the spread of the innovation to another UK site. In all four subcases, several features of infrastructure were evident, including: (1) intricacy and lack of dependability of the installed base; (2) interdependencies of technologies, processes, and routines, such that a fix for one problem generated problems elsewhere in the system; (3) the inertia of established routines; (4) the constraining (and, occasionally, enabling) effect of legacy systems; and (5) delays and conflicts relating to clinical quality and safety standards. Conclusions: Innovators and change agents who wish to introduce new technologies in health services and systems should: (1) attend to materiality (eg, expect bugs and breakdowns, and prioritize basic dependability over advanced functionality); (2) take a systemic and relational view of technologies (versus as an isolated tool or function); (3) remember that technology-supported work is cooperative and embedded in organizational routines, which are further embedded in other routines; (4) innovate incrementally, taking account of technological and socio-cultural legacies; (5) consider standards but also where these standards come from and what priorities and interests they represent; and (6) seek to create leeway for these standards to be adapted to different local conditions. ",
doi="10.2196/16093",
url="http://www.jmir.org/2019/12/e16093/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31855184"
}


@Article{info:doi/10.2196/10477,
author="Ahmadvand, Alireza
and Kavanagh, David
and Clark, Michele
and Drennan, Judy
and Nissen, Lisa",
title="Trends and Visibility of ``Digital Health'' as a Keyword in Articles by JMIR Publications in the New Millennium: Bibliographic-Bibliometric Analysis",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="19",
volume="21",
number="12",
pages="e10477",
keywords="bibliometrics",
keywords="review literature",
keywords="JMIR Publications",
keywords="telemedicine",
abstract="Background: Digital health has become an advancing phenomenon in the health care systems of modern societies. Over the past two decades, various digital health options, technologies, and innovations have been introduced; many of them are still being investigated and evaluated by researchers all around the globe. However, the actual trends and visibility of peer-reviewed publications using ``digital health'' as a keyword to reflect the topic, published by major relevant journals, still remain to be quantified. Objective: This study aimed to conduct a bibliographic-bibliometric analysis on articles published in JMIR Publications journals that used ``digital health'' as a keyword. We evaluated the trends, topics, and citations of these research publications to identify the important share and contribution of JMIR Publications journals in publishing articles on digital health. Methods: All JMIR Publications journals were searched to find articles in English, published between January 2000 and August 2019, in which the authors focused on, utilized, or discussed digital health in their study and used ``digital health'' as a keyword. In addition, a bibliographic-bibliometric analysis was conducted using the freely available Profiles Research Networking Software by the Harvard Clinical and Translational Science Center. Results: Out of 1797 articles having ``digital health'' as a keyword, published mostly between 2016 and 2019, 277 articles (32.3\%) were published by JMIR Publications journals, mainly in the Journal of Medical Internet Research. The most frequently used keyword for the topic was ``mHealth.'' The average number of times an article had been cited, including self-citations, was above 2.8. Conclusions: The reflection of ``digital health'' as a keyword in JMIR Publications journals has increased noticeably over the past few years. To maintain this momentum, more regular bibliographic and bibliometric analyses will be needed. This would encourage authors to consider publishing their articles in relevant, high-visibility journals and help these journals expand their supportive publication policies and become more inclusive of digital health. ",
doi="10.2196/10477",
url="http://www.jmir.org/2019/12/e10477/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31855190"
}


@Article{info:doi/10.2196/16513,
author="Curioso, H. Walter",
title="Building Capacity and Training for Digital Health: Challenges and Opportunities in Latin America",
journal="J Med Internet Res",
year="2019",
month="Dec",
day="18",
volume="21",
number="12",
pages="e16513",
keywords="digital health",
keywords="capacity building",
keywords="training program",
keywords="education",
keywords="public health",
keywords="telehealth",
keywords="Peru",
keywords="Latin America",
doi="10.2196/16513",
url="http://www.jmir.org/2019/12/e16513/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31850849"
}


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


@Article{info:doi/10.2196/16272,
author="Zeng-Treitler, Qing
and Nelson, J. Stuart",
title="Will Artificial Intelligence Translate Big Data Into Improved Medical Care or Be a Source of Confusing Intrusion? A Discussion Between a (Cautious) Physician Informatician and an (Optimistic) Medical Informatics Researcher",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="27",
volume="21",
number="11",
pages="e16272",
keywords="artificial intelligence",
keywords="big data",
keywords="data driven approach",
keywords="medical informatics",
keywords="digital health",
keywords="digital medicine",
keywords="quality of care",
doi="10.2196/16272",
url="https://www.jmir.org/2019/11/e16272",
url="http://www.ncbi.nlm.nih.gov/pubmed/31774409"
}


@Article{info:doi/10.2196/17045,
author="deBronkart, Dave
and Eysenbach, Gunther",
title="Gimme My Damn Data (and Let Patients Help!): The \#GimmeMyDamnData Manifesto",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="22",
volume="21",
number="11",
pages="e17045",
keywords="data",
keywords="participatory medicine",
keywords="ehealth",
doi="10.2196/17045",
url="http://www.jmir.org/2019/11/e17045/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31755873"
}


@Article{info:doi/10.2196/16359,
author="Kukafka, Rita",
title="Digital Health Consumers on the Road to the Future",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="21",
volume="21",
number="11",
pages="e16359",
keywords="digital health",
keywords="health consumers",
keywords="artificial intelligence",
keywords="internet of things",
doi="10.2196/16359",
url="https://www.jmir.org/2019/11/e16359",
url="http://www.ncbi.nlm.nih.gov/pubmed/31750835"
}


@Article{info:doi/10.2196/16259,
author="Buis, Lorraine",
title="Implementation: The Next Giant Hurdle to Clinical Transformation With Digital Health",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="20",
volume="21",
number="11",
pages="e16259",
keywords="digital health",
keywords="digital medicine",
keywords="ehealth",
keywords="mhealth",
keywords="implementation",
keywords="knowledge translation",
keywords="publishing",
keywords="open access",
keywords="journalogy",
doi="10.2196/16259",
url="http://www.jmir.org/2019/11/e16259/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31746763"
}


@Article{info:doi/10.2196/16197,
author="Perski, Olga
and Lumsden, Jim
and Garnett, Claire
and Blandford, Ann
and West, Robert
and Michie, Susan",
title="Assessing the Psychometric Properties of the Digital Behavior Change Intervention Engagement Scale in Users of an App for Reducing Alcohol Consumption: Evaluation Study",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="20",
volume="21",
number="11",
pages="e16197",
keywords="engagement",
keywords="digital behaviour change interventions",
keywords="mHealth",
keywords="psychometrics",
keywords="self-report scale",
keywords="smartphone apps",
keywords="excessive alcohol consumption",
abstract="Background: The level and type of engagement with digital behavior change interventions (DBCIs) are likely to influence their effectiveness, but validated self-report measures of engagement are lacking. The DBCI Engagement Scale was designed to assess behavioral (ie, amount, depth of use) and experiential (ie, attention, interest, enjoyment) dimensions of engagement. Objective: We aimed to assess the psychometric properties of the DBCI Engagement Scale in users of a smartphone app for reducing alcohol consumption. Methods: Participants (N=147) were UK-based, adult, excessive drinkers recruited via an online research platform. Participants downloaded the Drink Less app and completed the scale immediately after their first login in exchange for a financial reward. Criterion variables included the objectively recorded amount of use, depth of use, and subsequent login. Five types of validity (ie, construct, criterion, predictive, incremental, divergent) were examined in exploratory factor, correlational, and regression analyses. The Cronbach alpha was calculated to assess the scale's internal reliability. Covariates included motivation to reduce alcohol consumption. Results: Responses on the DBCI Engagement Scale could be characterized in terms of two largely independent subscales related to experience and behavior. The experiential and behavioral subscales showed high ($\alpha$=.78) and moderate ($\alpha$=.45) internal reliability, respectively. Total scale scores predicted future behavioral engagement (ie, subsequent login) with and without adjusting for users' motivation to reduce alcohol consumption (adjusted odds ratio [ORadj]=1.14; 95\% CI 1.03-1.27; P=.01), which was driven by the experiential (ORadj=1.19; 95\% CI 1.05-1.34; P=.006) but not the behavioral subscale. Conclusions: The DBCI Engagement Scale assesses behavioral and experiential aspects of engagement. The behavioral subscale may not be a valid indicator of behavioral engagement. The experiential subscale can predict subsequent behavioral engagement with an app for reducing alcohol consumption. Further refinements and validation of the scale in larger samples and across different DBCIs are needed. ",
doi="10.2196/16197",
url="http://www.jmir.org/2019/11/e16197/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31746771"
}


@Article{info:doi/10.2196/16295,
author="Mesk{\'o}, Bertalan",
title="The Real Era of the Art of Medicine Begins with Artificial Intelligence",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="18",
volume="21",
number="11",
pages="e16295",
keywords="future",
keywords="artificial intelligence",
keywords="digital health",
keywords="technology",
keywords="art of medicine",
doi="10.2196/16295",
url="http://www.jmir.org/2019/11/e16295/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31738169"
}


@Article{info:doi/10.2196/16393,
author="Camacho, Erica
and Levin, Leonard
and Torous, John",
title="Smartphone Apps to Support Coordinated Specialty Care for Prodromal and Early Course Schizophrenia Disorders: Systematic Review",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="12",
volume="21",
number="11",
pages="e16393",
keywords="smartphones",
keywords="mobile phones",
keywords="app",
keywords="schizophrenia",
abstract="Background: Demand for mental health services, especially for clinical high-risk and early psychosis, has increased, creating a need for new solutions to increase access to and quality of care. Smartphones and mobile technology are potential tools to support coordinated specialty care for early psychosis, given their potential to augment the six core roles of care: case management and team leadership, recovery-oriented psychotherapy, medication management, support for employment and education, coordination with primary care services, and family education and support. However, the services smartphones are actually offering specifically for coordinated specialty care and the level of evidence are unknown. Objective: This study aimed to review the published literature on smartphone technology to enhance care for patients with prodromal and early course psychosis and schizophrenia and to analyze studies by type, aligned with coordinated specialty care domains. Methods: A systematic literature search was conducted on August 16 and 17, 2019, using the PubMed, EMBASE, Web of Sciences, and PsycINFO electronic databases. The eligible studies were reviewed and screened based on inclusion and exclusion criteria. Results: The search uncovered 388 unique results, of which 32 articles met the initial inclusion criteria; 21 eligible studies on 16 unique app platforms were identified. Feasibility studies showed a high user engagement and interest among patients, monitoring studies demonstrated a correlation between app assessments and clinical outcomes, and intervention studies indicated that these apps have the potential to advance care. Eighteen studies reported on app use for the case management roles of coordinated specialty care. No app studies focused on employment and education, coordination with primary care services, and family education and support. Conclusions: Although the published literature on smartphone apps for prodromal and first-episode psychosis is small, it is growing exponentially and holds promise to augment both monitoring and interventions. Although the research results and protocols for app studies are not well aligned with all coordinated specialty care roles today, high rates of adoption and feasibility suggest the potential for future efforts. These results will be used to develop coordinated specialty care--specific app evaluation scales and toolkits. ",
doi="10.2196/16393",
url="http://www.jmir.org/2019/11/e16393/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31714250"
}


@Article{info:doi/10.2196/16607,
author="Lovis, Christian",
title="Unlocking the Power of Artificial Intelligence and Big Data in Medicine",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="8",
volume="21",
number="11",
pages="e16607",
keywords="medical informatics",
keywords="artificial intelligence",
keywords="big data",
doi="10.2196/16607",
url="https://www.jmir.org/2019/11/e16607",
url="http://www.ncbi.nlm.nih.gov/pubmed/31702565"
}


@Article{info:doi/10.2196/16323,
author="Coiera, Enrico",
title="The Last Mile: Where Artificial Intelligence Meets Reality",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="8",
volume="21",
number="11",
pages="e16323",
keywords="artificial intelligence",
keywords="implementation sceince",
keywords="sociotechnical systems",
doi="10.2196/16323",
url="http://www.jmir.org/2019/11/e16323/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31702559"
}


@Article{info:doi/10.2196/16399,
author="Barnett, Scott
and Huckvale, Kit
and Christensen, Helen
and Venkatesh, Svetha
and Mouzakis, Kon
and Vasa, Rajesh",
title="Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="6",
volume="21",
number="11",
pages="e16399",
keywords="eHealth",
keywords="e-Mental health",
keywords="mHealth",
keywords="digital phenotyping",
keywords="personal sensing",
keywords="smartphone",
keywords="iPhone",
keywords="software development",
keywords="software framework",
keywords="technology platform",
doi="10.2196/16399",
url="https://www.jmir.org/2019/11/e16399",
url="http://www.ncbi.nlm.nih.gov/pubmed/31692450"
}


@Article{info:doi/10.2196/16344,
author="Valle, Giacomo",
title="The Connection Between the Nervous System and Machines: Commentary",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="6",
volume="21",
number="11",
pages="e16344",
keywords="brain-machine interfaces",
keywords="neural electrodes",
keywords="neural recording",
keywords="neurostimulation",
keywords="sensory-motor dysfunctions",
doi="10.2196/16344",
url="https://www.jmir.org/2019/11/e16344",
url="http://www.ncbi.nlm.nih.gov/pubmed/31692449"
}


@Article{info:doi/10.2196/16274,
author="Jadad, R. Alejandro
and Jadad Garcia, M. Tamen",
title="From a Digital Bottle: A Message to Ourselves in 2039",
journal="J Med Internet Res",
year="2019",
month="Nov",
day="1",
volume="21",
number="11",
pages="e16274",
keywords="wisdom",
keywords="pandemic",
keywords="concepts",
keywords="future",
keywords="extinction",
keywords="self-sabotage",
keywords="precariat",
keywords="stupidity",
keywords="noosphere",
keywords="capitalism",
doi="10.2196/16274",
url="https://www.jmir.org/2019/11/e16274",
url="http://www.ncbi.nlm.nih.gov/pubmed/31682578"
}


@Article{info:doi/10.2196/16356,
author="Pisarchik, N. Alexander
and Maksimenko, A. Vladimir
and Hramov, E. Alexander",
title="From Novel Technology to Novel Applications: Comment on ``An Integrated Brain-Machine Interface Platform With Thousands of Channels'' by Elon Musk and Neuralink",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="31",
volume="21",
number="10",
pages="e16356",
keywords="brain-computer interface",
keywords="brain-machine interface",
keywords="brain",
keywords="electroencephalography",
doi="10.2196/16356",
url="http://www.jmir.org/2019/10/e16356/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31674923"
}


@Article{info:doi/10.2196/16339,
author="Kirsch, F. Robert
and Ajiboye, Bolu A.
and Miller, P. Jonathan",
title="The Reconnecting the Hand and Arm with Brain (ReHAB) Commentary on ``An Integrated Brain-Machine Interface Platform With Thousands of Channels''",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="31",
volume="21",
number="10",
pages="e16339",
keywords="brain computer interfacing",
keywords="intracortical recording",
keywords="neural engineering",
keywords="neurosurgery",
doi="10.2196/16339",
url="http://www.jmir.org/2019/10/e16339/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31674921"
}


@Article{info:doi/10.2196/16321,
author="Maynard, David Andrew
and Scragg, Marissa",
title="The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="31",
volume="21",
number="10",
pages="e16321",
keywords="brain machine interface",
keywords="ethics",
keywords="neuroethics",
keywords="bioethics",
keywords="ethical innovation",
keywords="responsible innovation",
keywords="risk",
keywords="risk innovation",
doi="10.2196/16321",
url="http://www.jmir.org/2019/10/e16321/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31674917"
}


@Article{info:doi/10.2196/16194,
author="Musk, Elon
and ",
title="An Integrated Brain-Machine Interface Platform With Thousands of Channels",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="31",
volume="21",
number="10",
pages="e16194",
keywords="brain-machine interface",
keywords="sensory function",
keywords="motor function",
keywords="neurology",
doi="10.2196/16194",
url="http://www.jmir.org/2019/10/e16194/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31642810"
}


@Article{info:doi/10.2196/16172,
author="Leung, Ricky",
title="Increasing the Impact of JMIR Journals in the Attention Economy",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="31",
volume="21",
number="10",
pages="e16172",
keywords="JMIR",
keywords="medical informatics",
keywords="digital health",
keywords="publishing",
keywords="knowledge translation",
keywords="peer-to-peer community",
keywords="impact",
doi="10.2196/16172",
url="http://www.jmir.org/2019/10/e16172/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31674916"
}


@Article{info:doi/10.2196/16390,
author="Torous, John",
title="Beyond the Impact Factor: Reflecting on Twenty Years of Leading Efforts in Research, Innovation in Publishing, and Investment in People",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="31",
volume="21",
number="10",
pages="e16390",
keywords="JMIR",
keywords="publishing",
keywords="eHealth",
keywords="digital health",
keywords="digital medicine",
keywords="knowledge dissemination",
doi="10.2196/16390",
url="http://www.jmir.org/2019/10/e16390/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31674922"
}


@Article{info:doi/10.2196/16690,
author="Kushniruk, Andre",
title="The Importance of Health Information on the Internet: How It Saved My Life and How it Can Save Yours",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="27",
volume="21",
number="10",
pages="e16690",
keywords="patient journey",
keywords="human factors",
keywords="consumer health informatics",
keywords="eHealth",
keywords="digital health",
keywords="participatory medicine",
keywords="shared decision-making",
keywords="cancer information",
keywords="tongue cancer",
doi="10.2196/16690",
url="http://www.jmir.org/2019/10/e16690/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31661084"
}


@Article{info:doi/10.2196/16385,
author="Hesse, William Bradford",
title="Role of the Internet in Solving the Last Mile Problem in Medicine",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="28",
volume="21",
number="10",
pages="e16385",
keywords="connected health",
keywords="implementation science",
keywords="patient engagement",
keywords="community improvement",
keywords="citizen science",
keywords="digital divide",
keywords="learning health care system",
doi="10.2196/16385",
url="http://www.jmir.org/2019/10/e16385/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31661078"
}


@Article{info:doi/10.2196/16222,
author="Powell, John",
title="Trust Me, I'm a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test",
journal="J Med Internet Res",
year="2019",
month="Oct",
day="28",
volume="21",
number="10",
pages="e16222",
keywords="artificial intelligence",
keywords="machine learning",
keywords="medical informatics",
keywords="digital health",
keywords="ehealth",
keywords="chatbots",
keywords="conversational agents",
doi="10.2196/16222",
url="http://www.jmir.org/2019/10/e16222/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31661083"
}