Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners’ Views

The potential for machine learning to disrupt the medical profession is the subject of ongoing debate within biomedical informatics and related fields. This study aimed to explore general practitioners' (GPs') opinions about the potential impact of future technology on key tasks in primary...

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Veröffentlicht in:	Journal of medical Internet research Jg. 21; H. 3; S. e12802
Hauptverfasser:	Blease, Charlotte, Kaptchuk, Ted J, Bernstein, Michael H, Mandl, Kenneth D, Halamka, John D, DesRoches, Catherine M
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Canada Journal of Medical Internet Research 20.03.2019 Gunther Eysenbach MD MPH, Associate Professor JMIR Publications
Schlagworte:	Acceptability Algorithms Analysis Artificial intelligence Artificial Intelligence - standards Attitudes Biomedicine Clinical decision making Communication Empathy Ethics Family physicians Female Forecasts and trends Future Gender General Practitioners - standards Humans Innovations Intelligence Internet Machine learning Male Medical personnel Medical profession Medicine Middle Aged Original Paper Patients Physicians Physicians (General practice) Polls & surveys Practitioner patient relationship Primary care Primary Health Care - methods Qualitative Research Respondents Response rates Surveys and Questionnaires Technological change Technology Technology and civilization Type 2 diabetes United Kingdom Workforce United Kingdom United Kingdom > UK United States > US attitudes future general practice opinions primary care qualitative research technology machine learning artificial intelligence
ISSN:	1438-8871, 1439-4456, 1438-8871
Online-Zugang:	Volltext
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