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The Postencounter Form System: Viewpoint on Efficient Data Collection Within Electronic Health Records

机译:en后表格系统:关于电子病历中有效数据收集的观点

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摘要

Electronic health records (EHRs) offer opportunities for research and improvements in patient care. However, challenges exist in using data from EHRs due to the volume of information existing within clinical notes, which can be labor intensive and costly to transform into usable data with existing strategies. This case report details the collaborative development and implementation of the postencounter form (PEF) system into the EHR at the Road Home Program at Rush University Medical Center in Chicago, IL to address these concerns with limited burden to clinical workflows. The PEF system proved to be an effective tool with over 98% of all clinical encounters including a completed PEF within 5 months of implementation. In addition, the system has generated over 325,188 unique, readily-accessible data points in under 4 years of use. The PEF system has since been deployed to other settings demonstrating that the system may have broader clinical utility.
机译:电子健康记录(EHR)为研究和改善患者护理提供了机会。然而,由于临床笔记中存在大量信息,因此使用EHR数据存在挑战,这可能是劳动密集型的,并且要通过现有策略转换为可用数据会非常昂贵。该案例报告详细介绍了在伊利诺伊州芝加哥拉什大学医学中心的“道路之家”计划中,向EHR协作开发和实施“遭遇后表格”(PEF)系统的方法,以解决这些问题,但临床工作流程负担有限。事实证明,PEF系统是一种有效的工具,在实施的5个月内,包括所有已完成的PEF在内,超过98%的临床病例都已通过。此外,该系统在使用不到4年的时间里已经生成了325,188个独特的,易于访问的数据点。此后,PEF系统已部署到其他设置,这表明该系统可能具有更广泛的临床用途。

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