Understanding technology-related prescribing errors for system optimisation: the Technology-Related Error Mechanism (TREM) classification

Magdalena Z. Raban, Alison Merchant, Erin Fitzpatrick, Melissa T. Baysari, Ling Li, Peter J. Gates, Johanna I. Westbrook
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Abstract

Objectives Technology-related prescribing errors curtail the positive impacts of computerised provider order entry (CPOE) on medication safety. Understanding how technology-related errors occur can inform CPOE optimisation. Previously, we developed a classification of the underlying mechanisms of technology-related errors using prescribing error data from two adult hospitals. Our objective was to update the classification using paediatric prescribing error data, and to assess the reliability with which reviewers could independently apply the classification.
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了解与技术相关的处方错误以优化系统:与技术相关的错误机制(TREM)分类
目标 与技术相关的处方错误会削弱计算机化医嘱输入系统(CPOE)对用药安全的积极影响。了解与技术相关的错误是如何发生的,可以为 CPOE 的优化提供依据。此前,我们利用两家成人医院的处方错误数据,对技术相关错误的基本机制进行了分类。我们的目标是利用儿科处方错误数据更新该分类,并评估审查员独立应用该分类的可靠性。
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