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Automation bias – a hidden issue for clinical decision support system use

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Goddard, Kate, Roudsari, Abdul and Wyatt, Jeremy C. (2011) Automation bias – a hidden issue for clinical decision support system use. In: Borycki, Elizabeth M. and Bartle-Clar, John M. and Househ, Mowafa S. and Kuziemsky, Craig E. and Schraa, Ellen G., (eds.) International Perspectives in Health Informatics. Studies in Health Technology and Informatics, Vol.164 . Amsterdam, The Netherlands: IOS Press, pp. 17-22. ISBN 978-1-60750-708-6

Full text not available from this repository.
Official URL: http://dx.doi.org/10.3233/978-1-60750-709-3-17

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.

Item Type: Book Item
Subjects: R Medicine > R Medicine (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Series Name: Studies in Health Technology and Informatics
Publisher: IOS Press
Place of Publication: Amsterdam, The Netherlands
ISBN: 978-1-60750-708-6
Book Title: International Perspectives in Health Informatics
Editor: Borycki, Elizabeth M. and Bartle-Clar, John M. and Househ, Mowafa S. and Kuziemsky, Craig E. and Schraa, Ellen G.
Date: 15 February 2011
Volume: Vol.164
Number of Pages: 448
Page Range: pp. 17-22
Identification Number: 10.3233/978-1-60750-709-3-17
Status: Not Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/47810

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