基于算法的临床决策支持:不断变化的监管格局和当地监管的最佳实践
Anthony L Lin1, Amanda B Parrish2, Michael Cary3
11Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
人工智能 (AI) 支持的临床决策支持 (CDS) 在医疗保健领域提供了越来越大的潜力. 本审查指导实施者和监管者安全,有效和公平地使用AI-CDS,涵盖法规,治理和最佳实践.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 临床信息学是一种临床信息学.
- 医学中的人工智能
背景情况:
- 基于算法的临床决策支持 (CDS) 系统在医疗保健中越来越普遍.
- 集成人工智能支持的CDS为临床医生,患者和卫生系统带来了新的机遇和挑战.
- 目前AI-CDS的实施和监管框架仍在不断发展.
研究的目的:
- 为支持人工智能的CDS提供监管和治理格局的全面概述.
- 概述CDS系统的实施,评估和监测的最佳实践.
- 在AI-CDS部署中解决有关安全和公平的关键问题.
主要方法:
- 审查影响基于算法的CDS的关键监管决策.
- 对监督CDS系统的现代治理框架的分析.
- 探索整个CDS生命周期的评估和监测策略.
主要成果:
- 确定关键的监管先例和不断变化的治理模式.
- 讨论对CDS评估和现实世界实施的细微方法.
- 强调AI-CDS的基本安全和公平考虑.
结论:
- 有效,安全和公平地实施支持人工智能的CDS需要仔细导航监管和治理结构.
- 持续的评估,监测以及对安全和公平的关注对于成功的AI-CDS集成至关重要.
- 在AI-CDS中,未来的创新需要利益相关者之间的持续合作.
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