Learning Tasks of Pediatric Providers from Electronic Health Record Audit Logs

Learning Tasks of Pediatric Providers from Electronic Health Record Audit Logs
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DOI:
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发表时间:
2020
期刊:
AMIA ... Annual Symposium proceedings. AMIA Symposium
影响因子:
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通讯作者:
Barrett Jones;Xinmeng Zhang;B. Malin;You Chen
Barrett Jones;Xinmeng Zhang;B. Malin;You Chen
中科院分区:
其他
文献类型:
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作者:
Barrett Jones;Xinmeng Zhang;B. Malin;You Chen

文献摘要

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花费在电子健康记录(EHR)上的大量时间已成为许多提供者的负担。我们提出了计算方法,以了解儿科住院医师和主治医师在健康新生儿治疗中的电子病历任务,通过分析电子病历审计记录数据。我们对EHR事件和提供者角色之间的关联进行统计分析,利用审计日志数据上的词嵌入、k-means和ProM流程挖掘软件来了解EHR任务并将其可视化。相对于主治医生,住院医生更常做笔记准备和结果查看。主治医生进行更多的沟通和图表审查。任务工作流分析的结果是主治医生有2个任务,住院医生有3个任务。主治工作主要集中在病历、病历、病历、收件箱服务等方面。住院医师的主要主题是入院/出院与订单创建,笔记审查和结果审查。
The amount of time spent working in the Electronic Health Record (EHR) has become a burden for many providers. We propose computational methods to learn EHR tasks of Pediatrics residents and attending physicians in the treatment of healthy newborns by analyzing EHR audit log data. We perform statistical analyses of the association between EHR events and provider role, leverage word embedding, k-means, and ProM process mining software on audit log data to learn EHR tasks and visualize them. Residents more commonly perform note preparation and result viewing relative to attendings. Attendings perform more communication and chart review. Task workflows analysis resulted in 2 tasks for attendings and 3 tasks for residents. The attending tasks focus on chart review patient report and history, and inbox service. Primary themes for residents are admit/discharge with order creation, note review, and result review.