| Literature DB >> 21335682 |
Kate Goddard1, Abdul Roudsari, Jeremy C Wyatt.
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.Entities:
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Year: 2011 PMID: 21335682
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630