使用临床模拟来评估人工智能支持的决策支持
David Lyell1, Adriaan Lustig2, Kate Denyer2
1Australian Institute of Health Innovation, Macquarie University, Australia.
Studies in health technology and informatics
|January 25, 2024
概括
临床模拟提供了一种安全和可控的方法来评估人工智能 (AI) 临床决策支持 (CDS). 这种方法评估了AI.
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:
- 在现实世界的临床环境中评估人工智能 (AI) 支持的临床决策支持 (CDS) 提出了重大的伦理和后勤挑战.
- 传统的CDS评估临床研究往往受到患者风险,实验控制和成本的限制.
研究的目的:
- 探索临床模拟的实用性,作为评估支持人工智能的CDS的强大方法.
- 证明使用模拟研究来评估CDS对临床决策的影响的可行性.
主要方法:
- 该研究讨论了使用临床模拟用于CDS评估的原则和优势.
- 介绍了一个案例研究,以说明这种基于模拟的方法的实际应用和可行性.
主要成果:
- 临床模拟提供了一个患者和无风险的环境,用于严格评估CDS.
- 与传统的临床研究相比,它允许进行更大的实验控制,从而能够精确地测量结果.
结论:
- 临床模拟是一种有价值和可行的方法来评估支持人工智能的CDS.
- 模拟研究可以有效地评估CDS对信息价值链下游临床决策和行动的影响.
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