A. Calvitti, Neal Farber, Yunan Chen, Danielle Zuest, Lin Liu, Kristin Bell, Barbara Gray, Z. Agha
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引用次数: 4
Abstract
Alan Calvitti Neal Farber Yunan Chen Danielle Zuest Lin Liu Kristin Bell Barbara Gray Zia Agha We develop temporal data mining and visualization methods to quantitatively profile physician Electronic Health Records (EHR) workflow and compare time-at-task versus click count distributions for top-level EHR functionality. The temporal data is based on time-resolved activity during outpatient visits, captured by usability software and audio-video recording and manual coding to physicians' activities.
Alan Calvitti Neal Farber Yunan Chen Danielle Zuest Lin Liu Kristin Bell Barbara Gray Zia Agha我们开发时间数据挖掘和可视化方法来定量描述医生电子健康记录(EHR)工作流程，并比较顶级EHR功能的任务时间和点击数分布。时间数据基于门诊访问期间的时间解析活动，通过可用性软件和音频视频记录以及对医生活动的手动编码来捕获。
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