在医疗保健中建立组织AI治理:加拿大的案例研究
Jee Young Kim1, Alifia Hasan2, Jacqueline Kueper3
1Duke Institute for Health Innovation, Durham, NC, USA. jee.young.kim@duke.edu.
NPJ digital medicine
|August 15, 2025
概括
这项研究适应了人,过程,技术和运营 (PPTO) 框架,以在加拿大医院建立AI治理. 这项研究创造了实际的AI政策和治理委员会,展示了PPTOTO.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能治理管理 人工智能治理
- 组织变革管理 组织变革管理
背景情况:
- 加拿大医院正处于采用人工智能 (AI) 的早期阶段.
- 开发强大的AI治理框架对于在医疗保健中负责任地实施AI至关重要.
- 现有的AI治理模型需要适应现实世界的临床环境.
研究的目的:
- 应用人员,流程,技术和运营 (PPTO) 框架,在加拿大大型医院系统中开发AI治理.
- 通过利益相关者的参与来确定人工智能治理的组织优势,缺口和优先事项.
- 在医疗保健组织内创建实用的AI治理政策和结构.
主要方法:
- 利用利益相关者采访来评估AI治理的准备和需求.
- 员工共同设计研讨会,以根据特定的医院环境定制PPTO框架.
- 记录了人工智能治理政策和委员会组建的实施过程.
主要成果:
- 利益相关者的意见为医院的AI治理格局提供了基础的见解.
- PPTO框架被成功调整,导致AI政策的发展.
- 成立了一个人工智能治理委员会,标志着组织变革的具体步骤.
- 关于在医疗保健中实施概念AI治理框架的经验证据被生成.
结论:
- PPTO框架是建立医疗保健环境中的AI治理的实用和适应性工具.
- 这项研究通过在临床环境中展示AI治理的现实世界实施来弥补一个差距.
- 该研究强调了利益相关者参与和共同设计在推动人工智能采用组织变革中的重要性.
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