观察员:为门诊护理研究创建一个新的多式联运数据集
Kevin B Johnson1,2, Basam Alasaly1, Kuk Jin Jang1,2
1Division of Biomedical Informatics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, United States.
Journal of the American Medical Informatics Association : JAMIA
|October 27, 2025
概括
观察者数据集使用视频和电子健康记录 (EHR) 捕捉了现实世界的初级保健访问. 这些多式联络数据支持门诊护理和临床AI研究的创新.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
- 临床数据科学 临床数据科学
背景情况:
- 门诊护理创新需要丰富的数据集,包括患者与医疗服务提供者的互动.
- 现有的数据源往往缺乏临床,上下文和经验信息的多式联络整合.
- 观察者数据集通过结合视频,电子健康记录和调查数据来弥补这一差距.
研究的目的:
- 描述观察者数据集的创建和特征.
- 详细说明多式联络初级保健接触的数据收集程序.
- 建立一个基础,为未来的研究在门诊护理.
主要方法:
- 多利益相关者指导小组参与设计和招聘.
- 使用房间视图和自我中心摄像头进行门诊视频录制.
- 收集电子健康记录 (EHR) 数据,元数据和结构化调查.
- 实现一个定制的非识别管道,以实现HIPAA合规.
主要成果:
- 该数据集包括13位PCP在4家诊所的前100次初级保健访问.
- 患者同意率达到了61%,访问覆盖了各种临床需求.
- 患者 (4.24/5) 和PCP (3.94/5) 报告的高满意度,对访问体验没有负面影响.
- 房间布局和摄像机的位置被确定为关键的沟通影响.
结论:
- 展示了可扩展的可行性,对真实世界的临床相互作用的隐私敏感收集.
- 观察者数据集是临床人工智能,通信研究和信息学教育的有价值,可共享的资源.
- 能够在成人初级保健机构进行研究和开发.
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