医疗差错的认知分类。

Proceedings. AMIA Symposium Pub Date : 2002-01-01
Jiajie Zhang, Vimla L Patel, Todd R Johnson, Edward H Shortliffe
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引用次数: 0

摘要

处理和解决与人为错误相关的问题的一个关键步骤是开发此类错误的认知分类法。在错误的情况下,可以开发这样的分类法:(1)沿着认知维度对所有类型的错误进行分类,(2)将每种类型的错误与特定的潜在认知机制联系起来,(3)解释为什么,甚至预测何时何地会发生特定的错误,以及(4)为每种类型的错误生成干预策略。基于Reason(1992)对人为错误的定义和Norman(1986)对人类行为的认知理论,我们开发了一个初步的基于行为的错误认知分类法,该分类法在很大程度上满足了医学领域的这四个标准。我们讨论了应用该分类法开发在线医疗错误报告系统的初始步骤,该系统不仅对错误进行分类,而且还识别问题并生成解决方案。
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Toward a cognitive taxonomy of medical errors.

One critical step in addressing and resolving the problems associated with human errors is the development of a cognitive taxonomy of such errors. In the case of errors, such a taxonomy may be developed (1) to categorize all types of errors along cognitive dimensions, (2) to associate each type of error with a specific underlying cognitive mechanism, (3) to explain why, and even predict when and where, a specific error will occur, and (4) to generate intervention strategies for each type of error. Based on Reason's (1992) definition of human errors and Norman's (1986) cognitive theory of human action, we have developed a preliminary action-based cognitive taxonomy of errors that largely satisfies these four criteria in the domain of medicine. We discuss initial steps for applying this taxonomy to develop an online medical error reporting system that not only categorizes errors but also identifies problems and generates solutions.

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