Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views.

Journal: Annals of family medicine
Published Date: May 27, 2025

Abstract

PURPOSE: Increased workload associated with electronic visits (eVisits) in primary care could potentially be decreased by the use of artificial intelligence (AI); however, it is unknown whether this use of AI would be acceptable to staff and patients. We explored patient and primary care staff views on the use of and opportunities for AI during eVisits.

Authors

  • Susan Moschogianis
    School of Health Sciences, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom.
  • Sarah Darley
    School of Health Sciences, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom.
  • Tessa Coulson
    National Health Service Salford Clinical Commissioning Group, Salford, United Kingdom.
  • Niels Peek
    Health e-Research Centre, University of Manchester, Vaughan House, Portsmouth Street, Manchester M13 9GB, UK. Electronic address: niels.peek@manchester.ac.uk.
  • Sudeh Cheraghi-Sohi
    NIHR Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Benjamin C Brown
    School of Health Sciences, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom benjamin.brown@manchester.ac.uk.

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