Carolina Garcia Sanchez
PhD student at Department of Women's and Children's Health; Participatory eHealth and Health Data Research Group
- E-mail:
- carolina.garcia@uu.se
- Visiting address:
- MTC-huset, Dag Hammarskjölds väg 14B, 1 tr
752 37 Uppsala - Postal address:
- Akademiska sjukhuset
751 85 UPPSALA
Publications
Recent publications
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Part of Journal of Participatory Medicine, 2026
- DOI for Patient and Family Perspectives on Generative AI Tools in Rare Diseases: Exploratory Mixed Methods Online Survey
- Download full text (pdf) of Patient and Family Perspectives on Generative AI Tools in Rare Diseases: Exploratory Mixed Methods Online Survey
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Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners
Part of BMJ Health & Care Informatics, 2026
- DOI for Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners
- Download full text (pdf) of Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners
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Part of Studies in Health Technology and Informatics, p. 675-679, 2026
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Part of BMJ Open, 2026
- DOI for Use of ambient AI scribe in physicians' clinical documentation: a protocol for a systematic review on effectiveness, efficiency, and satisfaction.
- Download full text (pdf) of Use of ambient AI scribe in physicians' clinical documentation: a protocol for a systematic review on effectiveness, efficiency, and satisfaction.
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Part of Journal of Medical Internet Research, 2025
- DOI for Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners' Views
- Download full text (pdf) of Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners' Views
All publications
Articles in journal
-
Part of Journal of Participatory Medicine, 2026
- DOI for Patient and Family Perspectives on Generative AI Tools in Rare Diseases: Exploratory Mixed Methods Online Survey
- Download full text (pdf) of Patient and Family Perspectives on Generative AI Tools in Rare Diseases: Exploratory Mixed Methods Online Survey
-
Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners
Part of BMJ Health & Care Informatics, 2026
- DOI for Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners
- Download full text (pdf) of Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners
-
Part of Studies in Health Technology and Informatics, p. 675-679, 2026
-
Part of BMJ Open, 2026
- DOI for Use of ambient AI scribe in physicians' clinical documentation: a protocol for a systematic review on effectiveness, efficiency, and satisfaction.
- Download full text (pdf) of Use of ambient AI scribe in physicians' clinical documentation: a protocol for a systematic review on effectiveness, efficiency, and satisfaction.
-
Part of Journal of Medical Internet Research, 2025
- DOI for Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners' Views
- Download full text (pdf) of Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners' Views
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Beyond counting clicks: rethinking engagement in digital mental health
Part of British Journal of Psychiatry, 2025
- DOI for Beyond counting clicks: rethinking engagement in digital mental health
- Download full text (pdf) of Beyond counting clicks: rethinking engagement in digital mental health
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Part of Digital Health, 2025
- DOI for General practitioners’ adoption of generative artificial intelligence in clinical practice in the UK: An updated online survey
- Download full text (pdf) of General practitioners’ adoption of generative artificial intelligence in clinical practice in the UK: An updated online survey
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General practitioners’ opinions of generative artificial intelligence in the UK: An online survey
Part of Digital Health, 2025
- DOI for General practitioners’ opinions of generative artificial intelligence in the UK: An online survey
- Download full text (pdf) of General practitioners’ opinions of generative artificial intelligence in the UK: An online survey
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Engagement and attrition in digital mental health: current challenges and potential solutions
Part of npj Digital Medicine, 2025
- DOI for Engagement and attrition in digital mental health: current challenges and potential solutions
- Download full text (pdf) of Engagement and attrition in digital mental health: current challenges and potential solutions
Articles, review/survey
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Part of JMIR Research Protocols, 2025
- DOI for Health Care Professionals' Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review
- Download full text (pdf) of Health Care Professionals' Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review