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Smart EHR - A Big-Data Approach to Automated Collection and Processing of Multi-Modal Health Signals in a Doctor-patient Encounter

机译:智能EHR - 一种自动收集和处理医患中多模态健康信号的大数据方法

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This work focuses on creating a smart Electronic Health Record (EHR) platform to collect and analyze doctor-patient interactions. It is an often cited fact that doctors are spending less and less time with patients, but two recent surveys have quantified what these numbers really are and the results are disturbing. In one survey [1], it was found that during the office day, physicians spent 27.0% of their total time on direct clinical face time with patients and 49.2% of their time on EHR and deskwork. In another survey [2], results “suggest that the physicians logged an average of 3.08 hours on office visits and 3.17 hours on desktop medicine each day,… Over time, log records from physicians showed a decline in the time allocated to face-to-face visits, accompanied by an increase in time allocated to desktop medicine It is precisely this problem that the University of Arizona’s “Wired Room” project seeks to address.
机译:这项工作侧重于创建智能电子健康记录(EHR)平台来收集和分析医生互动。这是一个经常引用的事实,即医生与患者的时间越来越少,但最近的两个调查量已经量化了这些数字是什么,结果是令人不安的。在一项调查[1]中,发现在办公室日,医生在直接临床面前的27.0%的总时间与患者的直接临床面对时间和他们在EHR和桌面上的49.2%。在另一个调查[2]中,结果“表明,医生在办公室访问的平均每天登录3.08小时,每天桌面医学3.17小时,...随着时间的推移,医生的日志记录随着分配的时间逐渐下降-Face访问,伴随着分配给桌面医学的时间增加,正是这个问题,即亚利桑那州的“有线室”项目寻求地址。

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