观察者:创建一个新型的多式联络数据集,用于门诊护理研究
Kevin B Johnson1,2, Basam Alasaly3, Kuk Jin Jang1,2
1Division of Biomedical Informatics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania.
medRxiv : the preprint server for health sciences
|November 19, 2025
概括
观察者数据集使用视频和电子健康记录捕捉了真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
- 门诊护理研究 门诊护理研究
- 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,现实世界的数据.
- 现有的数据集往往缺乏对临床检查和电子健康记录的多式联络整合.
- 在初级保健机构中需要保护隐私的数据收集方法.
研究的目的:
- 介绍"观察者数据集",这是一个用于门诊护理研究的新型多式联络资源.
- 描述数据收集程序,包括视频和电子健康记录 (EHR) 数据捕获.
- 总结初始数据集发布的临床和上下文特征.
主要方法:
- 多利益相关者指导小组指导招聘,调查和保护隐私的设计.
- 门诊访问被用房间视图和自我中心摄像头记录下来.
- 一个非识别管道 (转录编辑,语音掩盖,面部模糊) 确保了视频和电子健康记录数据的HIPAA合规性.
主要成果:
- 该数据集包括13位PCP在四个诊所的前100次初级保健访问.
- 患者同意率为61% (129/210人接近),患者和PCP报告的高满意度.
- 访问的长度各不相同,涵盖了不同的初级保健需求,记录技术没有影响患者的体验.
结论:
- 观察者数据集展示了采用可扩展的,对隐私敏感的方法收集全面的初级保健数据的可行性.
- 这个资源有助于未来的临床人工智能开发,通信研究和信息学教育.
- 观察者提供了一个可共享的,现实世界的数据集,用于成人初级保健的研究和教学.
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