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Reducing Medication Errors and Increasing Patient Safety: Utilizing the Fault Tree Analysis

机译:减少药物错误和增加患者安全性:利用故障树分析

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According to the 2000 Institute of Medicine Report on Building a Safer Health System, experts estimated that 8000 Americans die every year from preventable medication errors. It is believed that these errors annually affect more than 7 million patients with the cost of approximately $21 billion across all care settings. Despite some developed studies on analyzing the contributing causes of medication errors, there is a need for the development of more robust, systematic methodologies to identify their root causes and provide preventive measures to avoid their recurrence. This paper proposes a methodology, which is an integration of Failure Modes and Effects Analysis(FMEA)and Fault Tree Analysis(FTA), to first identify one of the top most important categories of medication error and then analyze its contributing and root causes. In this study, we develop FTA for administration errors, as they are highly occurring and very severe among other medication error categories.
机译:据2000年医学研究所建立了一个更安全的卫生系统,专家估计,每年8000名美国人死于可预防的药物错误。据信,这些误差每年影响超过700万患者,患者在所有护理环境中约为210亿美元。尽管有些开发的研究分析了药物错误的贡献原因,但需要开发更强大,系统的方法,以确定其根本原因并提供预防措施,以避免其复发。本文提出了一种方法论,它是失败模式和效果分析(FMEA)和故障树分析(FTA)的集成,首先识别最重要的药物误差之一,然后分析其贡献和根本原因。在这项研究中,我们为管理误差开发FTA,因为它们在其他药物错误类别中具有高度发生和非常严重。

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