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Research ArticleOriginal Research

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

Susan Moschogianis, Sarah Darley, Tessa Coulson, Niels Peek, Sudeh Cheraghi-Sohi and Benjamin C. Brown
The Annals of Family Medicine May 2025, 23 (3) 214-222; DOI: https://doi.org/10.1370/afm.240292
Susan Moschogianis
1School of Health Sciences, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
PhD
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Sarah Darley
1School of Health Sciences, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
PhD
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Tessa Coulson
2National Health Service Salford Clinical Commissioning Group, Salford, United Kingdom
MBChB, MRes
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Niels Peek
3The Healthcare Improvement Institute (THIS), Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
PhD
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Sudeh Cheraghi-Sohi
1School of Health Sciences, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
4National Institute for Health and Care Research (NIHR), Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, University of Manchester, Manchester, United Kingdom
PhD
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Benjamin C. Brown
1School of Health Sciences, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
5Patchs Health, London, United Kingdom
MD, PhD
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  • For correspondence: benjamin.brown@manchester.ac.uk
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Article Information

vol. 23 no. 3 214-222
DOI 
https://doi.org/10.1370/afm.240292

Published By 
The Annals of Family Medicine
Print ISSN 
1544-1709
Online ISSN 
1544-1717
History 
  • Received for publication June 20, 2024
  • Revision received November 12, 2024
  • Accepted for publication January 20, 2025
  • Published online May 27, 2025.

Copyright & Usage 
© 2025 Annals of Family Medicine, Inc.

Author Information

  1. Susan Moschogianis, PhD1,
  2. Sarah Darley, PhD1,
  3. Tessa Coulson, MBChB, MRes2,
  4. Niels Peek, PhD3,
  5. Sudeh Cheraghi-Sohi, PhD1,4 and
  6. Benjamin C. Brown, MD, PhD1,5⇑
  1. 1School of Health Sciences, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
  2. 2National Health Service Salford Clinical Commissioning Group, Salford, United Kingdom
  3. 3The Healthcare Improvement Institute (THIS), Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
  4. 4National Institute for Health and Care Research (NIHR), Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, University of Manchester, Manchester, United Kingdom
  5. 5Patchs Health, London, United Kingdom
  1. CORRESPONDING AUTHOR: Benjamin C. Brown, School of Health Sciences, Division of Population Health, Health, Services Research and Primary Care, University of Manchester, Williamson Building, Oxford Road, Manchester, UK, M13 9PL, benjamin.brown{at}manchester.ac.uk

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The Annals of Family Medicine: 23 (3)
The Annals of Family Medicine: 23 (3)
Vol. 23, Issue 3
May/June 2025
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Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views
Susan Moschogianis, Sarah Darley, Tessa Coulson, Niels Peek, Sudeh Cheraghi-Sohi, Benjamin C. Brown
The Annals of Family Medicine May 2025, 23 (3) 214-222; DOI: 10.1370/afm.240292

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Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views
Susan Moschogianis, Sarah Darley, Tessa Coulson, Niels Peek, Sudeh Cheraghi-Sohi, Benjamin C. Brown
The Annals of Family Medicine May 2025, 23 (3) 214-222; DOI: 10.1370/afm.240292
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Keywords

  • primary health care
  • general practice
  • electronic visits (eVisits)
  • artificial intelligence (AI)
  • qualitative research

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