The University of Edinburgh, UK.
Health Informatics J. 2020 Jun;26(2):1118-1132. doi: 10.1177/1460458219868650. Epub 2019 Sep 30.
This article analyzes the range of system optimization activities taking place over an extended period following the implementation of computerized physician order entry and clinical decision support systems. We undertook 207 qualitative semi-structured interviews, 24 rounds of non-participant observations of meetings and system use, and collected 17 organizational documents in five hospitals over three time periods between 2011 and 2016. We developed a systematic analysis of system optimization activities with eight sub-categories grouped into three main categories. This delineates the range of system optimization activities including resolving misalignments between technology and clinical practices, enhancing the adopted system, and improving user capabilities to utilize/further optimize systems. This study highlights the optimization efforts by user organizations adopting multi-user, organization-spanning information technologies. Hospitals must continue to attend to change management for an extended period (up to 5 years post-implementation) and develop a strategy for long-term system optimization including sustained user engagement, training, and broader capability development to ensure smoother and quicker realization of benefits.
本文分析了在实施计算机化医嘱录入和临床决策支持系统后,长时间内系统优化活动的范围。我们在五家医院进行了 207 次定性半结构化访谈、24 轮会议和系统使用的非参与式观察,并在 2011 年至 2016 年期间的三个时间段内收集了 17 份组织文件。我们对系统优化活动进行了系统分析,将其分为八个亚类,分为三个主要类别。这描绘了系统优化活动的范围,包括解决技术与临床实践之间的不匹配、增强所采用的系统以及提高用户利用/进一步优化系统的能力。本研究强调了采用多用户、跨组织信息技术的用户组织所进行的优化工作。医院必须在很长一段时间(实施后长达 5 年)内继续关注变更管理,并制定长期系统优化战略,包括持续的用户参与、培训和更广泛的能力发展,以确保更顺利、更快地实现效益。