Fixing Work, Not Workers: Leveraging AI to Combat Burnout in Canadian Healthcare
Burnout among healthcare workers in Canada remains a critical challenge with implications for workforce retention, patient safety, and system sustainability. Traditional responses have often emphasized individual coping strategies rather than structural change. This article argues that Artificial Intelligence (AI) might offer new opportunities to address some of the organizational drivers of burnout. We outline three domains where AI may provide value: (1) enhancing the measurement and understanding of burnout, (2) strengthening workforce planning and operational decision-making, and (3) mitigating workplace risks through process redesign and automation. By shifting attention from "fixing workers" to "fixing work," AI might be part of the "solution" to support healthier, more sustainable healthcare environments.
Authors
- Taylor Martin
- Robert Maunder
- Gillian Strudwick
Institutions
- Centre for Addiction and Mental Health (CA)
- University of Toronto (CA)
- Public Health Ontario (CA)
Publication Details
- Journal
- Healthcare Management Forum
- Published
- 2026-02-09
- DOI
- https://doi.org/10.1177/08404704261420330
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00