遵守临床指南和基于人工智能的临床决策支持系统:对道德和信任的影响
Éric Pardoux1,2,3, Angeliki Kerasidou4
1Aix Marseille Université, CNRS, EFS, ADES, Marseille, France.
Science and engineering ethics
|November 13, 2025
概括
医疗保健中的人工智能 (AI) 需要仔细的伦理考虑. 为符合临床指导方针 (CGs) 设计人工智能工具需要一个更广泛的社会技术方法,而不仅仅是人工智能系统本身.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 生物伦理学生物伦理学
背景情况:
- 人工智能 (AI) 越来越多地被整合到医疗保健中,提供潜在的好处,但也引发了伦理,法律和社会方面的担忧.
- 设计时的合规性 (CbD) 是一个拟议的框架,通过将合规性嵌入到AI系统中来解决这些问题.
- 临床指南 (Clinical Guidelines,CGs) 代表了医疗决策的基于证据的最佳实践.
研究的目的:
- 理论上检查基于人工智能的临床决策支持系统 (CDSS) 是否可以在本质上设计为符合CG.
- 探索这种设计对医学伦理和对人工智能的信任的影响.
- 在医疗保健的背景下,为CG提出CbD的新理解.
主要方法:
- 使用基于AI的CDSS作为案例研究的理论考试.
- 针对特定患者病例的AI系统CG合规性的局限性分析.
- 为CG的CbD开发一个社会技术框架的开发.
主要成果:
- 基于人工智能的CDSS系统地遵守CG并不一定是理想的,因为CG是建议,而不是严格的规则.
- 建议对CG的CBD进行新的理解,将其视为社会技术计划.
- 该计划将AI与临床实践,用户反射能力和不断发展的知识相结合.
结论:
- 为医疗保健设计人工智能需要对CG的CbD采取整体的社会技术方法.
- 人工智能应该被视为医疗机构的现场服务,而不是独立的工具.
- 这种方法在临床决策过程中增强了对AI的道德考虑和信任.
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