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

机译:Postencounter表单系统:在电子健康记录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(EHRS)为患者护理提供研究和改进的机会。然而,由于临床记录内现有的信息量,使用EHRS的数据存在挑战,这可能是劳动密集型和成本与现有策略转换为可用数据的劳动力。本案报告详细信息详细信息在芝加哥​​的Ruck大学医疗中心的Road Home计划中详细介绍了EHR的EHR,以解决这些临床工作流量有限的关注。 PEF系统被证明是一个有效的工具,占所有临床遭遇的98%,包括5个月内完成的PEF。此外,该系统已在4年中产生超过325,188次独特的,易于访问的数据点。 PEF系统已部署到其他设置,表明系统可能具有更广泛的临床实用程序。

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