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Applying hierarchical task analysis to medication administration errors

机译:将分层任务分析应用于药物管理错误

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摘要

Medication use in hospitals is a complex process and is dependent on the successful interaction of health professionals functioning within different disciplines. Errors can occur at any one of the five main stages of prescribing, documenting, dispensing or preparation, administering and monitoring. The responsibility for the error is often placed on the nurse, as she or he is the last person in the drug administration chain whilst more pressing underlying causal factors remain unresolved. This paper demonstrates how hierarchical task analysis can be used to model drug administration and then uses the systematic human error reduction and prediction approach to predict which errors are likely to occur. The paper also puts forward design solutions to mitigate these errors.
机译:在医院中使用药物是一个复杂的过程,并且取决于在不同学科中运作的卫生专业人员的成功互动。在处方,记录,分配或准备,管理和监控的五个主要阶段中的任何一个阶段都可能发生错误。错误的责任通常由护士承担,因为他或他是药物管理链中的最后一个人,而更紧迫的潜在因果因素仍未解决。本文演示了如何使用分层任务分析来建模药物管理,然后使用系统的人为错误减少和预测方法来预测可能发生的错误。本文还提出了减轻这些错误的设计方案。

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