Fixing Work, Not Workers: Leveraging Artificial Intelligence to Combat Burnout in Canadian Healthcare

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Authors: Taylor Martin, Robert Maunder, Gillian Strudwick
Cited by: 0
References: 12

Abstract

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.

Fields of Study & Subjects

Healthcare professionals’ stress and burnout Occupational Health and Burnout Stress and Burnout Research

Publication details

Journal / source
Healthcare Management Forum
Volume
39
Issue
4
Pages
333–337
Publication date
9 February 2026
Language
EN