我们有足够的信息吗? 评估AI临床决策支持系统在初级保健中实施
Angela Coderre-Ball1, Anjana Ravi Chandran1, Valentina Gnanapragasam1
1Centre for Effective Practice.
Studies in health technology and informatics
|February 13, 2026
概括
商业AI临床决策支持解决方案 (AI-CDSS) 缺乏知识库和AI方法的透明度. 隐私方面的有限细节也阻碍了临床医生可靠的评估和负责任的实施.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 人工智能临床决策支持解决方案 (AI-CDSS) 在医疗保健中越来越普遍.
- 评估这些AI-CDSS的透明度和严格性对于安全有效的实施至关重要.
- 现有的AI-CDSS缺乏对知识库,AI方法和数据隐私等关键方面进行标准化报告.
研究的目的:
- 为了进行商用AI-CDSS的环境扫描.
- 评估提供关于知识库,AI方法和隐私的信息的透明度和质量.
- 识别阻碍AI-CDSS可靠评估和知情实施的差距.
主要方法:
- 商业AI-CDSS的环境扫描.
- 在三个领域分析供应商披露的信息:知识库,人工智能方法和隐私.
- 评估信息严格性,与质量标准的协调性以及数据隐私细节.
主要成果:
- 超过50%的供应商披露了一些知识基础信息,但很少有人表现出严格的评估或遵守基于证据的指南.
- 关于人工智能方法的透明度有限,大多数引用专有算法,很少详细说明培训数据.
- 报告的隐私信息更频繁,但通常是高级别的,缺乏关于合规性,数据存储或二次使用的具体信息.
结论:
- 人工智能-CDSS在知识库,人工智能方法和数据隐私方面的透明度存在重大差距.
- 这些缺陷为决策者在可靠评估AI-CDSS时制造了障碍.
- 需要标准化,透明的报告,以支持临床医生负责任和知情地实施AI-CDSS.
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