Lourie Eli M, Stevens Lindsay A, Webber Emily C
Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
JAMIA Open. 2020 Dec 5;3(4):492-495. doi: 10.1093/jamiaopen/ooaa056. eCollection 2020 Dec.
Electronic health record (EHR) optimization has been identified as a best practice to reduce burnout and improve user satisfaction; however, measuring success can be challenging. The goal of this manuscript is to describe the limitations of measuring optimizations and opportunities to combine assessments for a more comprehensive evaluation of optimization outcomes. The authors review lessons from 3 U.S. healthcare institutions that presented their experiences and recommendations at the American Medical Informatics Association 2020 Clinical Informatics conference, describing uses and limitations of vendor time-based reports and surveys utilized in optimization programs. Compiling optimization outcomes supports a multi-faceted approach that can produce assessments even as time-based reports and technology change. The authors recommend that objective measures of optimization must be combined with provider and clinician-defined value to provide long term improvements in user satisfaction and reduce EHR-related burnout.
电子健康记录(EHR)优化已被视为减少职业倦怠和提高用户满意度的最佳实践;然而,衡量其成功与否可能具有挑战性。本文的目的是描述衡量优化的局限性以及结合评估以更全面评估优化结果的机会。作者回顾了来自3家美国医疗机构的经验教训,这些机构在美国医学信息学会2020年临床信息学会议上介绍了他们的经验和建议,描述了优化计划中使用的基于供应商时间的报告和调查的用途及局限性。汇总优化结果支持一种多方面的方法,即使基于时间的报告和技术发生变化,也能进行评估。作者建议,优化的客观衡量标准必须与提供者和临床医生定义的价值相结合,以长期提高用户满意度并减少与电子健康记录相关的职业倦怠。