医疗保健的人工智能治理框架
Masooma Hassan1, Elizabeth M Borycki1, Andre W Kushniruk1
1University of Victoria, Victoria, British Columbia, Canada.
Healthcare management forum
|October 29, 2024
概括
人工智能 (AI) 为医疗保健挑战提供解决方案,但实施是困难的. 这项研究提出了一个新的AI治理框架,以帮助医疗机构安全地采用AI系统.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 人工智能在医学中的应用
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 为解决复杂的医疗保健挑战提供了重大机会,包括运营效率,行政支持和患者护理结果.
- 尽管许多人工智能模型在研究中得到了验证,但它们被转化为实际的医疗保健应用却面临着实质性的实施和采用障碍.
研究的目的:
- 确定阻碍在医疗保健环境中采用人工智能的关键挑战.
- 提出一个新的AI治理框架,旨在促进医疗保健组织内安全有效地实施AI系统.
主要方法:
- 在医疗保健领域实施人工智能的当前挑战的审查.
- 开发和提出一个新的AI治理框架.
主要成果:
- 确定了在医疗保健中采用人工智能的关键障碍,包括与实施和用户接受相关的问题.
- 提出了一个结构化的AI治理框架,以指导医疗机构采用AI技术.
结论:
- 专门的治理框架对于克服医疗保健中人工智能实施挑战至关重要.
- 拟议的框架旨在使医疗机构能够安全有效地整合人工智能系统,最终改善医疗服务.
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