Accelerating AI Adoption for Reducing Administrative Burden in Primary Care: Insights from Evaluating AI Scribes.

Onil Bhattacharyya, Payal Agarwal, Emily Ha, Jean Yong, Enid Montague
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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.

加速采用人工智能以减轻初级保健的行政负担:来自评估人工智能抄写员的见解。
在医疗保健学科中,人工智能(AI)的采用进展并不均衡,即使是旨在减轻管理负担的低风险应用程序也是如此。这篇评论探讨了人工智能抄写器作为减少管理工作量和改善提供者福祉的有价值的工具。两阶段的评估表明,文件时间显著减少,供应商反馈积极,促使省级采购。我们强调需要进行量身定制的包容性评估,并提出了一种结构化方法,以支持在初级保健中更广泛地采用人工智能,重点是适合目的的评估、稳健的模拟和多样化的伙伴关系。该方法旨在促进加拿大初级保健机构公平地部署人工智能,改善护理的可及性和质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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