Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views
Patients and staff welcomed the use of AI and identified 7 potential uses during eVisits to decrease staff workload and improve patient safety. Successful implementation will depend on clear communication from practices, demonstrating and monitoring safety, clarifying misconceptions, and reassuring that it will not replace humans.
Authors
- Benjamin Brown (ORCID: https://orcid.org/0000-0001-9975-4782)
- Susan Moschogianis (ORCID: https://orcid.org/0000-0002-7002-7933)
- Sarah Darley (ORCID: https://orcid.org/0000-0001-5420-6774)
- Sudeh Cheraghi‐Sohi (ORCID: https://orcid.org/0000-0002-2863-0683)
- Niels Peek (ORCID: https://orcid.org/0000-0002-6393-9969)
- Tessa Coulson (ORCID: https://orcid.org/0000-0002-2080-5653)
Institutions
- National Health Service (GB)
- Department of Health and Social Care (GB)
- Manchester Academic Health Science Centre (GB)
- Institute for Healthcare Improvement (US)
- NIHR Manchester Biomedical Research Centre (GB)
- University of Salford (GB)
Publication Details
- Journal
- The Annals of Family Medicine
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1370/afm.240292
- Citations
- 8
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 5.23
Funders
- Wellcome Trust
- National Institute for Health and Care Research
- Department of Health and Social Care
- Patient Safety Translational Research Centre