Published on in Vol 12 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71434, first published .
Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis

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

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

Emily Ha   1, 2 , MSc ;   Isabelle Choon-Kon-Yune   2, 3 , MPH ;   LaShawn Murray   4 , MS ;   Siying Luan   2 , MSc ;   Enid Montague   4 , PhD ;   Onil Bhattacharyya   2, 5, 6 , MD, PhD ;   Payal Agarwal   2, 6 , MSc, MD

1 Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

2 Women's College Hospital Institute for Health System Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada

3 Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada

4 Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada

5 Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada

6 Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada

Corresponding Author:

  • Emily Ha, MSc
  • 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
  • Phone: 1 4163236400
  • Email: emily.ha@wchospital.ca