Chua, Alton Y.K., Seth, Nishant and Banerjee, Snehasish orcid.org/0000-0001-6355-0470 (2025) Debiasing anchoring bias in the context of telemedicine. Behaviour & Information Technology. ISSN 0144-929X
Abstract
Clinical decision-making in the context of asynchronous ‘store-and-forward’ telemedicine can be susceptible to the cognitive shortcut of anchoring bias. This paper aims to (1) examine the effect of cognitive style, cognitive ability, and information breadth on anchoring bias in telemedicine, (2) validate the effectiveness of a composite debiasing strategy, (3) investigate how the extent of debiasing is affected by cognitive style, cognitive ability, and information breadth. A pretest-posttest experiment was conducted among 72 medical students with a composite debiasing strategy as an intervention. Results indicated that information breadth increased individuals’ susceptibility to anchoring bias. The composite debiasing strategy was successful in reducing anchoring bias. The debiasing effect was particularly pronounced among individuals with high cognitive ability. Furthermore, cognitive style interacted with cognitive ability to affect the reduction in anchoring bias. The debiasing worked best for high cognitive ability and intuitive cognitive style. The paper draws on the literature on cognitive psychology and clinical decision-making to contribute as one of the earliest efforts to study anchoring bias in telemedicine.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 Informa UK Limited, trading as Taylor & Francis Group. This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Keywords: | anchoring bias,healthcare information technology,information overload,health professionals,medical informatics,Telemedicine |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > The York Management School |
Depositing User: | Pure (York) |
Date Deposited: | 16 Dec 2024 16:40 |
Last Modified: | 13 Feb 2025 05:31 |
Published Version: | https://doi.org/10.1080/0144929X.2024.2444548 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1080/0144929X.2024.2444548 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:220909 |