评估信息对患者对基于人工智能的临床决策支持 (AI/CDS) 态度的影响:基于网络的SMART标签试点研究
Bohye Kim1, Katie Ryan1, Jane Paik Kim2
1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.
Journal of medical ethics
|December 12, 2024
概括
为患者提供更多关于基于人工智能的临床决策支持 (AI/CDS) 工具的详细信息,提高了他们对医疗保健中的AI的信任和舒适度. 这种增加的透明度会积极影响患者对涉及人工智能的医生决策的看法.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 患者体验研究 研究研究
背景情况:
- 医生和患者的信任对于采用基于人工智能的临床决策支持 (AI/CDS) 工具至关重要.
- 在临床环境中,对影响患者对AI/CDS认知因素的研究有限.
研究的目的:
- 调查AI/CDS工具的解释水平如何影响患者的态度.
- 探索可能改变这些效应的情境因素,如AI/CDS结果和医生同意.
主要方法:
- 一个基于网络的调查,使用一个顺序多重分配随机试验的图片设计.
- 参与者 (通过亚马逊机械土耳其人招募) 在解释细节,AI/CDS结果和医生同意方面被随机分配.
- 统计分析包括t测试和回归模型,以评估解释细节的影响.
主要成果:
- 对AI/CDS工具的解释增加了细节,这与患者的舒适性和信心有积极的相关性.
- 解释细节影响了患者对医生的最终决定的看法,影响因AI/CDS结果和医生同意而有所不同.
- 该研究确定了特定的背景,解释细节显著影响患者的信任.
结论:
- 对AI/CDS工具进行加强的医生沟通可以改善患者对医疗保健中的AI的接受.
- 关于AI/CDS工具使用,结果和医生一致性的透明度是培养积极患者态度的关键.
- 对以患者为中心的AI实施策略进行进一步的研究是有必要的.
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