From the Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts.
J Patient Saf. 2022 Mar 1;18(2):e547-e562. doi: 10.1097/PTS.0000000000000867.
Considerable international investment in hospital electronic prescribing (ePrescribing) systems has been made, but despite this, it is proving difficult for most organizations to realize safety, quality, and efficiency gains in prescribing. The objective of this work was to develop policy-relevant insights into the optimization of hospital ePrescribing systems to maximize the benefits and minimize the risks of these expensive digital health infrastructures.
We undertook a systematic scoping review of the literature by searching MEDLINE, Embase, and CINAHL databases. We searched for primary studies reporting on ePrescribing optimization strategies and independently screened and abstracted data until saturation was achieved. Findings were theoretically and thematically synthesized taking a medicine life-cycle perspective, incorporating consultative phases with domain experts.
We identified 23,609 potentially eligible studies from which 1367 satisfied our inclusion criteria. Thematic synthesis was conducted on a data set of 76 studies, of which 48 were based in the United States. Key approaches to optimization included the following: stakeholder engagement, system or process redesign, technological innovations, and education and training packages. Single-component interventions (n = 26) described technological optimization strategies focusing on a single, specific step in the prescribing process. Multicomponent interventions (n = 50) used a combination of optimization strategies, typically targeting multiple steps in the medicines management process.
We identified numerous optimization strategies for enhancing the performance of ePrescribing systems. Key considerations for ePrescribing optimization include meaningful stakeholder engagement to reconceptualize the service delivery model and implementing technological innovations with supporting training packages to simultaneously impact on different facets of the medicines management process.
尽管在医院电子处方(ePrescribing)系统上投入了大量的国际资金,但大多数组织仍难以实现处方安全、质量和效率的提升。本研究旨在为优化医院电子处方系统提供与政策相关的见解,以最大程度地发挥这些昂贵的数字健康基础设施的效益,同时降低风险。
我们通过搜索 MEDLINE、Embase 和 CINAHL 数据库,对文献进行了系统的范围界定审查。我们搜索了报告电子处方优化策略的原始研究,并独立筛选和提取数据,直到达到饱和状态。从药物生命周期的角度出发,结合与领域专家的咨询阶段,对研究结果进行了理论和主题综合。
我们从 23609 篇潜在的合格研究中确定了 1367 篇符合纳入标准的研究。对 76 项研究的数据集进行了主题综合,其中 48 项研究来自美国。优化的主要方法包括以下几个方面:利益相关者的参与、系统或流程的重新设计、技术创新以及教育和培训包。单一组件干预(n=26)描述了专注于处方过程中单个特定步骤的技术优化策略。多组件干预(n=50)使用了多种优化策略的组合,通常针对药物管理过程的多个步骤。
我们确定了许多用于增强电子处方系统性能的优化策略。电子处方优化的关键考虑因素包括有意义的利益相关者参与,以重新构想服务交付模式,并实施具有配套培训包的技术创新,以同时影响药物管理过程的不同方面。