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Accelerating AI Adoption for Reducing Administrative Burden in Primary Care: Insights from Evaluating AI Scribes
Onil Bhattacharyya1, Payal Agarwal2, Emily Ha3
1Frigon Blau Chair in Family Medicine Research and Director, Institute for Health System Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Associate Professor, Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON.
Abstract:
Artificial intelligence (AI) adoption has progressed unevenly across healthcare disciplines, even for low-risk applications aimed at easing administrative burdens. This commentary examines AI scribes as valuable tools to reduce administrative workload and improve provider well-being. A two-phase evaluation demonstrated significant reductions in documentation time and positive provider feedback, prompting provincial procurement. Highlighting the need for tailored, inclusive evaluations, we propose a structured approach to support broader AI adoption in primary care, focusing on fit-for-purpose assessments, robust simulations and diverse partnerships. This approach aims to foster equitable AI deployment across primary care settings in Canada, improving access and quality of care.
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