算法和人类决策之间的互补性:抗生素处方的案例
Michael Allan Ribers1, Hannes Ullrich1,2
1Department of Economics, University of Copenhagen, Copenhagen, Denmark.
概括
人工智能 (AI) 在处方抗生素方面完全自动化是无效的. 将决策权最好地委托给医生,利用他们的私人信息,减少了20.3%的抗生素过度处方.
科学领域:
- 医疗信息学 医疗信息学
- 卫生经济学 卫生经济学
- 临床决策支持 临床决策支持
背景情况:
- 人工智能 (AI) 显示出在复杂领域增强人类决策的前景.
- 然而,当人类专家拥有私人,特定上下文的信息时,人工智能的有效性受到限制.
- 对抗生素处方的医生决策是潜在的AI整合的关键领域.
研究的目的:
- 评估人工智能对尿路感染抗生素处方决定的影响.
- 为了确定人工智能自动化和医生判断之间的最佳平衡.
- 通过联合决策来量化抗生素过度处方的减少.
主要方法:
- 使用针对尿路感染的抗生素处方数据进行实证分析.
- 完全自动化的AI处方与医生主导的处方的比较.
- 混合方法的建模,结合基于信息互补性的AI和医生决策.
主要成果:
- 人工智能对抗生素处方的完全自动化并没有超过医生的决定.
- 将部分处方决策委托给医生,利用他们的私人诊断信息,证明是有效的.
- 通过医生和人工智能的联合方法,低效抗生素过度处方减少了20.3%.
结论:
- 利用人类和算法决策互补性的混合模型优于完全的AI自动化.
- 最佳的委托策略对于最大限度地发挥AI在临床实践中的好处至关重要.
- 将人工智能与医生专业知识相结合,可以显著改善抗生素管理,减少过度处方.
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