title: Automation bias - a hidden issue for clinical decision support system use.
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.
authors.affiliation: Centre for Health Informatics, City University, London, UK. kate.goddard.1@city.ac.uk
authors.forename: Kate
authors.initials: K
authors.lastname: Goddard
authors.forename: Abdul
authors.initials: A
authors.lastname: Roudsari
authors.forename: Jeremy C
authors.initials: JC
authors.lastname: Wyatt
mesh_terms: D001292:Attitude to Computers; D001331:Automation; D003071:Cognition; D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data*; D006282:Health Personnel / Q000523:psychology; D006801:Humans; D019300:Medical Errors