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Published on in Vol 15 (2026)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/99807, first published .
Construction workers in hard hats and safety vests

Large Language Models for Clinical Data Extraction in Workplace Injury Rehabilitation: Protocol for a Retrospective Pilot Study of Accuracy, Fairness, and Methodological Considerations in Workers’ Compensation Medical Chart Review

Large Language Models for Clinical Data Extraction in Workplace Injury Rehabilitation: Protocol for a Retrospective Pilot Study of Accuracy, Fairness, and Methodological Considerations in Workers’ Compensation Medical Chart Review

Armaan Rehman Shah   1 , BSc ;   Barbara Gorczyca Abel   2 , BSc, BScPT, MHM ;   Majid Komeili   3 , PhD ;   Basem Gohar   4, 5 , PhD ;   Behdin Nowrouzi-Kia   1, 5, 6 , PhD

1 Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada

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

3 School of Computer Science, Carleton University, Ottawa, ON, Canada

4 Department of Population Medicine, University of Guelph, Guelph, ON, Canada

5 Centre for Research in Occupational Safety and Health, Laurentian University, Sudbury, ON, Canada

6 Krembil Research Institute-University Health Network, Toronto Western Hospital, Toronto, ON, Canada

Corresponding Author:

  • Behdin Nowrouzi-Kia, PhD
  • Department of Occupational Science and Occupational Therapy
  • Temerty Faculty of Medicine
  • University of Toronto
  • 500 University Avenue
  • Toronto, ON M5G 1V7
  • Canada
  • Phone: 1 416-946-3249
  • Email: behdin.nowrouzi.kia@utoronto.ca