Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis.

Journal: JMIR human factors
Published Date: Jul 23, 2025

Abstract

BACKGROUND: Primary care providers (PCPs) face significant burnout due to increasing administrative and documentation demands, contributing to job dissatisfaction and impacting care quality. Artificial intelligence (AI) scribes have emerged as potential solutions to reduce administrative burden by automating clinical documentation of patient encounters. Although AI scribes are gaining popularity in primary care, there is limited information on their usability, effectiveness, and accuracy.

Authors

  • Emily Ha
    Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
  • Isabelle Choon-Kon-Yune
    Women's College Hospital Institute for Health System Solutions and Virtual Care, Women's College Hospital, 76 Grenville Street, 6th Floor, Toronto, ON, M5S 1B2, Canada, 1 4163236400.
  • LaShawn Murray
    Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada.
  • Siying Luan
    Women's College Hospital Institute for Health System Solutions and Virtual Care, Women's College Hospital, 76 Grenville Street, 6th Floor, Toronto, ON, M5S 1B2, Canada, 1 4163236400.
  • Enid Montague
    Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada.
  • Onil Bhattacharyya
    Women's College Hospital Institute for Health System Solutions and Virtual Care, Women's College Hospital, 76 Grenville Street, 6th Floor, Toronto, ON, M5S 1B2, Canada, 1 4163236400.
  • Payal Agarwal
    Department of Family and Community Medicine (Agarwal, Lall), University of Toronto; Women's College Hospital (Agarwal), Toronto, Ont.; Scarborough Health Network (Lall), Scarborough, Ont.; Unity Health Toronto (Girdhari), Toronto, Ont. payal.agarwal@wchospital.ca.

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