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自动化偏差——临床决策支持系统使用中的一个潜在问题。

Automation bias - a hidden issue for clinical decision support system use.

作者信息

Goddard Kate, Roudsari Abdul, Wyatt Jeremy C

机构信息

Centre for Health Informatics, City University, London, UK.

出版信息

Stud Health Technol Inform. 2011;164:17-22.

Abstract

Automation bias - the tendency to over-rely on automation - has been studied in a variety of academic fields. Clinical Decision Support Systems aim to benefit the clinical decision making process. Although most research shows overall improved performance with use, there is often a failure to recognize the new errors that CDSS can introduce, and the healthcare field has a gap in this research. This paper outlines some of the most compelling theoretical factors in the literature involved in automation bias, and builds a simple model to be tested empirically. Ultimately, this will uncover the mechanisms by which this bias operates and help CDSS producers and healthcare practitioners optimize the medical decision making process.

摘要

自动化偏差——即过度依赖自动化的倾向——已在多个学术领域得到研究。临床决策支持系统旨在促进临床决策过程。尽管大多数研究表明使用该系统总体上能提高性能,但人们往往未能认识到临床决策支持系统可能引入的新错误,而医疗保健领域在这方面的研究存在空白。本文概述了文献中一些与自动化偏差相关的最具说服力的理论因素,并构建了一个简单模型以供实证检验。最终,这将揭示这种偏差的运作机制,并帮助临床决策支持系统的生产者和医疗从业者优化医疗决策过程。

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