Artificial intelligence in primary care practice: Qualitative study to understand perspectives on using AI to derive patient social data.

Journal: Canadian family physician Medecin de famille canadien
PMID: 39122422

Abstract

OBJECTIVE: To understand the perspectives of primary care clinicians and health system leaders on the use of artificial intelligence (AI) to derive information about patients' social determinants of health.

Authors

  • Stephanie Garies
    Postdoctoral fellow (at the time of writing) affiliated with the Department of Family and Community Medicine through St Michael's Hospital at Unity Health Toronto in Ontario, and with the Upstream Lab in the MAP Centre for Urban Health Solutions.
  • Simon Liang
    Family medicine resident (at the time of writing) in Department of Family & Community Medicine at St Michael's Hospital through Unity Health Toronto.
  • Karen Weyman
    Associate Professor in the Department of Family & Community Medicine at the University of Toronto in Ontario and a family physician at St Michael's Hospital.
  • Steve Durant
    Research coordinator (at the time of writing) of the Upstream Lab.
  • Noor Ramji
    Family physician and Practice Improvement Program Director in the Department of Family and Community Medicine at the University of Toronto.
  • Mo Alhaj
    Quality Improvement Specialist at St Michael's Hospital.
  • Andrew Pinto
    Department of Family and Community Medicine, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

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