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Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study

机译:医院计算机医师处方输入和临床决策支持系统实施中的延误分类标准:一项纵向定性研究

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Background Implementation delays are common in health information technology (HIT) projects. In this paper, we sought to explore the reasons for delays in implementing major hospital-based HIT, through studying computerized physician order entry (CPOE) and clinical decision support (CDS) systems for prescribing and to develop a provisional taxonomy of causes of implementation delays. Methods We undertook a series of longitudinal, qualitative case studies to investigate the implementation and adoption of CPOE and CDS systems for prescribing in hospitals in the U.K. We used a combination of semi-structured interviews from six case study sites and two whole day expert roundtable discussions to collect data. Interviews were carried out with users, implementers and suppliers of CPOE/CDS systems. We used thematic analysis to examine the results, drawing on perspectives surrounding the biography of artefacts. Results We identified 15 major factors contributing to delays in implementation of CPOE and CDS systems. These were then categorized in a two-by-two delay classification matrix: one axis distinguishing tactical versus unintended causes of delay, and the second axis illustrating internal i.e., (the adopting hospital) versus external (i.e., suppliers, other hospitals, policymakers) related causes. Conclusions Our taxonomy of delays in HIT implementation should enable system developers, implementers and policymakers to better plan and manage future implementations. More detailed planning at the outset, considering long-term strategies, sustained user engagement, and phased implementation approaches appeared to reduce the risks of delays. It should however be noted that whilst some delays are likely to be preventable, other delays cannot be easily avoided and taking steps to minimize these may negatively affect the longer-term use of the system.
机译:背景技术实施延迟在健康信息技术(HIT)项目中很常见。在本文中,我们试图通过研究计算机处方单(CPOE)和临床决策支持(CDS)系统来制定处方,并制定实施延迟原因的临时分类法,以探索实施基于医院的主要HIT的延迟原因。 。方法我们进行了一系列纵向,定性的案例研究,以研究CPOE和CDS系统在英国医院开处方的实施和采用情况我们结合了来自六个案例研究现场的半结构式访谈和两次全天专家圆桌讨论收集数据。与CPOE / CDS系统的用户,实施者和供应商进行了访谈。我们使用主题分析来检验结果,并利用围绕人工制品传记的观点。结果我们确定了导致CPOE和CDS系统实施延迟的15个主要因素。然后将这些分类为两两延迟分类矩阵:一个轴区分战术延迟和意外延迟原因,第二轴说明内部(即,采用医院)与外部(即供应商,其他医院,决策者)相关原因。结论我们对HIT实施延迟的分类法应该使系统开发人员,实施人员和政策制定者能够更好地计划和管理未来的实施。首先,考虑长期策略,持续的用户参与以及分阶段的实施方法,进行更详细的计划似乎可以减少延迟的风险。但是,应注意,尽管某些延迟可能是可以避免的,但其他延迟却无法避免,并且采取措施将其最小化可能会对系统的长期使用产生负面影响。

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