TY - JOUR AU - Eysenbach, Gunther PY - 2019/12/23 TI - Celebrating 20 Years of Open Access and Innovation at JMIR Publications JO - J Med Internet Res SP - e17578 VL - 21 IS - 12 KW - JMIR KW - internet KW - medical informatics KW - ehealth KW - digital health KW - participatory medicine KW - open access KW - electronic publishing KW - scholarly publishing KW - science communication KW - journalogy KW - history of science KW - overlay journal KW - preprints KW - open science UR - http://www.jmir.org/2019/12/e17578/ UR - http://dx.doi.org/10.2196/17578 UR - http://www.ncbi.nlm.nih.gov/pubmed/31868653 ID - info:doi/10.2196/17578 ER - TY - JOUR AU - Wyatt, C. Jeremy PY - 2019/12/23 TI - Preserving the Open Access Benefits Pioneered by the Journal of Medical Internet Research and Discouraging Fraudulent Journals JO - J Med Internet Res SP - e16532 VL - 21 IS - 12 KW - open access KW - predatory journals KW - knowledge management KW - scientific journals KW - mobilizing computable knowledge KW - fraudulent journals UR - http://www.jmir.org/2019/12/e16532/ UR - http://dx.doi.org/10.2196/16532 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/16532 ER - TY - JOUR AU - Willcox, C. Jane AU - Dobson, Rosie AU - Whittaker, Robyn PY - 2019/12/20 TI - Old-Fashioned Technology in the Era of ?Bling?: Is There a Future for Text Messaging in Health Care? JO - J Med Internet Res SP - e16630 VL - 21 IS - 12 KW - text messaging KW - mHealth KW - behavior change KW - digital health UR - http://www.jmir.org/2019/12/e16630/ UR - http://dx.doi.org/10.2196/16630 UR - http://www.ncbi.nlm.nih.gov/pubmed/31859678 ID - info:doi/10.2196/16630 ER - TY - JOUR AU - Borycki, Elizabeth PY - 2019/12/19 TI - Quality and Safety in eHealth: The Need to Build the Evidence Base JO - J Med Internet Res SP - e16689 VL - 21 IS - 12 KW - patient safety KW - technology-induced error KW - health technology UR - http://www.jmir.org/2019/12/e16689/ UR - http://dx.doi.org/10.2196/16689 UR - http://www.ncbi.nlm.nih.gov/pubmed/31855183 ID - info:doi/10.2196/16689 ER - TY - JOUR AU - Pagoto, Sherry AU - Waring, E. Molly AU - Xu, Ran PY - 2019/12/19 TI - A Call for a Public Health Agenda for Social Media Research JO - J Med Internet Res SP - e16661 VL - 21 IS - 12 KW - social media KW - online social networks KW - health information KW - health communication UR - http://www.jmir.org/2019/12/e16661/ UR - http://dx.doi.org/10.2196/16661 UR - http://www.ncbi.nlm.nih.gov/pubmed/31855185 ID - info:doi/10.2196/16661 ER - TY - JOUR AU - Greenhalgh, Trisha AU - Wherton, Joseph AU - Shaw, Sara AU - Papoutsi, Chrysanthi AU - Vijayaraghavan, Shanti AU - Stones, Rob PY - 2019/12/19 TI - Infrastructure Revisited: An Ethnographic Case Study of how Health Information Infrastructure Shapes and Constrains Technological Innovation JO - J Med Internet Res SP - e16093 VL - 21 IS - 12 KW - information infrastructure KW - structuration theory KW - video consultations KW - neo-institutional theory KW - organizational ethnography KW - hidden work KW - actor-network theory N2 - 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. UR - http://www.jmir.org/2019/12/e16093/ UR - http://dx.doi.org/10.2196/16093 UR - http://www.ncbi.nlm.nih.gov/pubmed/31855184 ID - info:doi/10.2196/16093 ER - TY - JOUR AU - Ahmadvand, Alireza AU - Kavanagh, David AU - Clark, Michele AU - Drennan, Judy AU - Nissen, Lisa PY - 2019/12/19 TI - Trends and Visibility of ?Digital Health? as a Keyword in Articles by JMIR Publications in the New Millennium: Bibliographic-Bibliometric Analysis JO - J Med Internet Res SP - e10477 VL - 21 IS - 12 KW - bibliometrics KW - review literature KW - JMIR Publications KW - telemedicine N2 - 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. UR - http://www.jmir.org/2019/12/e10477/ UR - http://dx.doi.org/10.2196/10477 UR - http://www.ncbi.nlm.nih.gov/pubmed/31855190 ID - info:doi/10.2196/10477 ER - TY - JOUR AU - Curioso, H. Walter PY - 2019/12/18 TI - Building Capacity and Training for Digital Health: Challenges and Opportunities in Latin America JO - J Med Internet Res SP - e16513 VL - 21 IS - 12 KW - digital health KW - capacity building KW - training program KW - education KW - public health KW - telehealth KW - Peru KW - Latin America UR - http://www.jmir.org/2019/12/e16513/ UR - http://dx.doi.org/10.2196/16513 UR - http://www.ncbi.nlm.nih.gov/pubmed/31850849 ID - info:doi/10.2196/16513 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 - Zeng-Treitler, Qing AU - Nelson, J. Stuart PY - 2019/11/27 TI - 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 JO - J Med Internet Res SP - e16272 VL - 21 IS - 11 KW - artificial intelligence KW - big data KW - data driven approach KW - medical informatics KW - digital health KW - digital medicine KW - quality of care UR - https://www.jmir.org/2019/11/e16272 UR - http://dx.doi.org/10.2196/16272 UR - http://www.ncbi.nlm.nih.gov/pubmed/31774409 ID - info:doi/10.2196/16272 ER - TY - JOUR AU - deBronkart, Dave AU - Eysenbach, Gunther PY - 2019/11/22 TI - Gimme My Damn Data (and Let Patients Help!): The #GimmeMyDamnData Manifesto JO - J Med Internet Res SP - e17045 VL - 21 IS - 11 KW - data KW - participatory medicine KW - ehealth UR - http://www.jmir.org/2019/11/e17045/ UR - http://dx.doi.org/10.2196/17045 UR - http://www.ncbi.nlm.nih.gov/pubmed/31755873 ID - info:doi/10.2196/17045 ER - TY - JOUR AU - Kukafka, Rita PY - 2019/11/21 TI - Digital Health Consumers on the Road to the Future JO - J Med Internet Res SP - e16359 VL - 21 IS - 11 KW - digital health KW - health consumers KW - artificial intelligence KW - internet of things UR - https://www.jmir.org/2019/11/e16359 UR - http://dx.doi.org/10.2196/16359 UR - http://www.ncbi.nlm.nih.gov/pubmed/31750835 ID - info:doi/10.2196/16359 ER - TY - JOUR AU - Buis, Lorraine PY - 2019/11/20 TI - Implementation: The Next Giant Hurdle to Clinical Transformation With Digital Health JO - J Med Internet Res SP - e16259 VL - 21 IS - 11 KW - digital health KW - digital medicine KW - ehealth KW - mhealth KW - implementation KW - knowledge translation KW - publishing KW - open access KW - journalogy UR - http://www.jmir.org/2019/11/e16259/ UR - http://dx.doi.org/10.2196/16259 UR - http://www.ncbi.nlm.nih.gov/pubmed/31746763 ID - info:doi/10.2196/16259 ER - TY - JOUR AU - Perski, Olga AU - Lumsden, Jim AU - Garnett, Claire AU - Blandford, Ann AU - West, Robert AU - Michie, Susan PY - 2019/11/20 TI - Assessing the Psychometric Properties of the Digital Behavior Change Intervention Engagement Scale in Users of an App for Reducing Alcohol Consumption: Evaluation Study JO - J Med Internet Res SP - e16197 VL - 21 IS - 11 KW - engagement KW - digital behaviour change interventions KW - mHealth KW - psychometrics KW - self-report scale KW - smartphone apps KW - excessive alcohol consumption N2 - 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 (?=.78) and moderate (?=.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. UR - http://www.jmir.org/2019/11/e16197/ UR - http://dx.doi.org/10.2196/16197 UR - http://www.ncbi.nlm.nih.gov/pubmed/31746771 ID - info:doi/10.2196/16197 ER - TY - JOUR AU - Meskó, Bertalan PY - 2019/11/18 TI - The Real Era of the Art of Medicine Begins with Artificial Intelligence JO - J Med Internet Res SP - e16295 VL - 21 IS - 11 KW - future KW - artificial intelligence KW - digital health KW - technology KW - art of medicine UR - http://www.jmir.org/2019/11/e16295/ UR - http://dx.doi.org/10.2196/16295 UR - http://www.ncbi.nlm.nih.gov/pubmed/31738169 ID - info:doi/10.2196/16295 ER - TY - JOUR AU - Camacho, Erica AU - Levin, Leonard AU - Torous, John PY - 2019/11/12 TI - Smartphone Apps to Support Coordinated Specialty Care for Prodromal and Early Course Schizophrenia Disorders: Systematic Review JO - J Med Internet Res SP - e16393 VL - 21 IS - 11 KW - smartphones KW - mobile phones KW - app KW - schizophrenia N2 - 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. UR - http://www.jmir.org/2019/11/e16393/ UR - http://dx.doi.org/10.2196/16393 UR - http://www.ncbi.nlm.nih.gov/pubmed/31714250 ID - info:doi/10.2196/16393 ER - TY - JOUR AU - Lovis, Christian PY - 2019/11/8 TI - Unlocking the Power of Artificial Intelligence and Big Data in Medicine JO - J Med Internet Res SP - e16607 VL - 21 IS - 11 KW - medical informatics KW - artificial intelligence KW - big data UR - https://www.jmir.org/2019/11/e16607 UR - http://dx.doi.org/10.2196/16607 UR - http://www.ncbi.nlm.nih.gov/pubmed/31702565 ID - info:doi/10.2196/16607 ER - TY - JOUR AU - Coiera, Enrico PY - 2019/11/8 TI - The Last Mile: Where Artificial Intelligence Meets Reality JO - J Med Internet Res SP - e16323 VL - 21 IS - 11 KW - artificial intelligence KW - implementation sceince KW - sociotechnical systems UR - http://www.jmir.org/2019/11/e16323/ UR - http://dx.doi.org/10.2196/16323 UR - http://www.ncbi.nlm.nih.gov/pubmed/31702559 ID - info:doi/10.2196/16323 ER - TY - JOUR AU - Barnett, Scott AU - Huckvale, Kit AU - Christensen, Helen AU - Venkatesh, Svetha AU - Mouzakis, Kon AU - Vasa, Rajesh PY - 2019/11/6 TI - Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications JO - J Med Internet Res SP - e16399 VL - 21 IS - 11 KW - eHealth KW - e-Mental health KW - mHealth KW - digital phenotyping KW - personal sensing KW - smartphone KW - iPhone KW - software development KW - software framework KW - technology platform UR - https://www.jmir.org/2019/11/e16399 UR - http://dx.doi.org/10.2196/16399 UR - http://www.ncbi.nlm.nih.gov/pubmed/31692450 ID - info:doi/10.2196/16399 ER - TY - JOUR AU - Valle, Giacomo PY - 2019/11/6 TI - The Connection Between the Nervous System and Machines: Commentary JO - J Med Internet Res SP - e16344 VL - 21 IS - 11 KW - brain-machine interfaces KW - neural electrodes KW - neural recording KW - neurostimulation KW - sensory-motor dysfunctions UR - https://www.jmir.org/2019/11/e16344 UR - http://dx.doi.org/10.2196/16344 UR - http://www.ncbi.nlm.nih.gov/pubmed/31692449 ID - info:doi/10.2196/16344 ER - TY - JOUR AU - Jadad, R. Alejandro AU - Jadad Garcia, M. Tamen PY - 2019/11/1 TI - From a Digital Bottle: A Message to Ourselves in 2039 JO - J Med Internet Res SP - e16274 VL - 21 IS - 11 KW - wisdom KW - pandemic KW - concepts KW - future KW - extinction KW - self-sabotage KW - precariat KW - stupidity KW - noosphere KW - capitalism UR - https://www.jmir.org/2019/11/e16274 UR - http://dx.doi.org/10.2196/16274 UR - http://www.ncbi.nlm.nih.gov/pubmed/31682578 ID - info:doi/10.2196/16274 ER - TY - JOUR AU - Pisarchik, N. Alexander AU - Maksimenko, A. Vladimir AU - Hramov, E. Alexander PY - 2019/10/31 TI - From Novel Technology to Novel Applications: Comment on ?An Integrated Brain-Machine Interface Platform With Thousands of Channels? by Elon Musk and Neuralink JO - J Med Internet Res SP - e16356 VL - 21 IS - 10 KW - brain-computer interface KW - brain-machine interface KW - brain KW - electroencephalography UR - http://www.jmir.org/2019/10/e16356/ UR - http://dx.doi.org/10.2196/16356 UR - http://www.ncbi.nlm.nih.gov/pubmed/31674923 ID - info:doi/10.2196/16356 ER - TY - JOUR AU - Kirsch, F. Robert AU - Ajiboye, Bolu A. AU - Miller, P. Jonathan PY - 2019/10/31 TI - The Reconnecting the Hand and Arm with Brain (ReHAB) Commentary on ?An Integrated Brain-Machine Interface Platform With Thousands of Channels? JO - J Med Internet Res SP - e16339 VL - 21 IS - 10 KW - brain computer interfacing KW - intracortical recording KW - neural engineering KW - neurosurgery UR - http://www.jmir.org/2019/10/e16339/ UR - http://dx.doi.org/10.2196/16339 UR - http://www.ncbi.nlm.nih.gov/pubmed/31674921 ID - info:doi/10.2196/16339 ER - TY - JOUR AU - Maynard, David Andrew AU - Scragg, Marissa PY - 2019/10/31 TI - The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces JO - J Med Internet Res SP - e16321 VL - 21 IS - 10 KW - brain machine interface KW - ethics KW - neuroethics KW - bioethics KW - ethical innovation KW - responsible innovation KW - risk KW - risk innovation UR - http://www.jmir.org/2019/10/e16321/ UR - http://dx.doi.org/10.2196/16321 UR - http://www.ncbi.nlm.nih.gov/pubmed/31674917 ID - info:doi/10.2196/16321 ER - TY - JOUR AU - Musk, Elon AU - PY - 2019/10/31 TI - An Integrated Brain-Machine Interface Platform With Thousands of Channels JO - J Med Internet Res SP - e16194 VL - 21 IS - 10 KW - brain-machine interface KW - sensory function KW - motor function KW - neurology UR - http://www.jmir.org/2019/10/e16194/ UR - http://dx.doi.org/10.2196/16194 UR - http://www.ncbi.nlm.nih.gov/pubmed/31642810 ID - info:doi/10.2196/16194 ER - TY - JOUR AU - Leung, Ricky PY - 2019/10/31 TI - Increasing the Impact of JMIR Journals in the Attention Economy JO - J Med Internet Res SP - e16172 VL - 21 IS - 10 KW - JMIR KW - medical informatics KW - digital health KW - publishing KW - knowledge translation KW - peer-to-peer community KW - impact UR - http://www.jmir.org/2019/10/e16172/ UR - http://dx.doi.org/10.2196/16172 UR - http://www.ncbi.nlm.nih.gov/pubmed/31674916 ID - info:doi/10.2196/16172 ER - TY - JOUR AU - Torous, John PY - 2019/10/31 TI - Beyond the Impact Factor: Reflecting on Twenty Years of Leading Efforts in Research, Innovation in Publishing, and Investment in People JO - J Med Internet Res SP - e16390 VL - 21 IS - 10 KW - JMIR KW - publishing KW - eHealth KW - digital health KW - digital medicine KW - knowledge dissemination UR - http://www.jmir.org/2019/10/e16390/ UR - http://dx.doi.org/10.2196/16390 UR - http://www.ncbi.nlm.nih.gov/pubmed/31674922 ID - info:doi/10.2196/16390 ER - TY - JOUR AU - Kushniruk, Andre PY - 2019/10/27 TI - The Importance of Health Information on the Internet: How It Saved My Life and How it Can Save Yours JO - J Med Internet Res SP - e16690 VL - 21 IS - 10 KW - patient journey KW - human factors KW - consumer health informatics KW - eHealth KW - digital health KW - participatory medicine KW - shared decision-making KW - cancer information KW - tongue cancer UR - http://www.jmir.org/2019/10/e16690/ UR - http://dx.doi.org/10.2196/16690 UR - http://www.ncbi.nlm.nih.gov/pubmed/31661084 ID - info:doi/10.2196/16690 ER - TY - JOUR AU - Hesse, William Bradford PY - 2019/10/28 TI - Role of the Internet in Solving the Last Mile Problem in Medicine JO - J Med Internet Res SP - e16385 VL - 21 IS - 10 KW - connected health KW - implementation science KW - patient engagement KW - community improvement KW - citizen science KW - digital divide KW - learning health care system UR - http://www.jmir.org/2019/10/e16385/ UR - http://dx.doi.org/10.2196/16385 UR - http://www.ncbi.nlm.nih.gov/pubmed/31661078 ID - info:doi/10.2196/16385 ER - TY - JOUR AU - Powell, John PY - 2019/10/28 TI - Trust Me, I?m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test JO - J Med Internet Res SP - e16222 VL - 21 IS - 10 KW - artificial intelligence KW - machine learning KW - medical informatics KW - digital health KW - ehealth KW - chatbots KW - conversational agents UR - http://www.jmir.org/2019/10/e16222/ UR - http://dx.doi.org/10.2196/16222 UR - http://www.ncbi.nlm.nih.gov/pubmed/31661083 ID - info:doi/10.2196/16222 ER -