了解医生对医疗保健人工智能的看法:顺序多重分配随机 Vignette 研究的协议
Jane Paik Kim1, Hyun-Joon Yang1, Bohye Kim1
1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
JMIR research protocols
|April 4, 2024
概括
本研究调查了临床风险,人工智能信息和人工智能结果如何通过人工智能临床决策支持 (CDS) 工具影响医生的决策. 一个新的"智能贴纸"设计将分析这些因素,以改善AI在医疗保健中的整合.
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:
- 基于人工智能 (AI) 的临床决策支持 (CDS) 系统越来越多地融入患者护理.
- 医生需要了解临床风险和人工智能输出等因素如何影响他们使用这些工具.
- 以假设为驱动的研究对于预测人工智能对前线医疗保健提供者的影响至关重要.
研究的目的:
- 设计和实施一个基于Web的图片调查,探索基于AI的CDS系统应用程序.
- 在假设场景中系统地改变诸如临床风险,人工智能信息和人工智能结果等因素.
- 确定这些因素对医生的判断和决策的因果关系.
主要方法:
- 招聘美国家庭或内科医生 (目标n=420).
- 使用基于网络的调查,设计出了一种新的"顺序多重分配随机化试验 (SMART) 标签".
- 将参与者随机分配到幅变异中,以测试临床风险,人工智能信息和人工智能输出确定性的影响.
主要成果:
- 该研究目前正在进行中,预计数据收集将在2024年结束.
- 结果将量化特定背景因素对医生在使用AI-CDS时的决策的影响.
- 预计"智能贴纸"设计将带来更高的分析有效性和均衡的组样本大小.
结论:
- 这项基于网络的视频研究将阐明临床风险,人工智能信息和人工智能结果如何影响医生对医疗保健中的人工智能的反应.
- 新的"智能贴纸"设计在分析人工智能对临床决策影响的传统方法上具有优势.
- 这些发现将增强对医生决策过程的理解,涉及基于AI的临床决策支持工具.
关键词:
基于AI的临床决策支持.在决策过程中做出决定.伦理学 伦理 伦理学基于假设的研究.假设的小幅画是一个假设的小幅画从医生的角度来看,医生的观点.利益相关者的态度 利益相关者的态度基于网络的调查调查.更多相关视频
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