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BEHAVIOURAL DESIGN FOR MEDICAL ERRORS DURING PATIENT DIAGNOSIS PROCESS

Published online by Cambridge University Press:  19 June 2023

Swagatam Dey ,
Shweta Dabral  and
Pramod Khadilkar
Swagatam Dey*
Affiliation:
Indian Institute of Technology, Delhi
Shweta Dabral
Affiliation:
Indian Institute of Technology, Delhi
Pramod Khadilkar
Affiliation:
Indian Institute of Technology, Delhi
*
Dey, Swagatam, Indian Institute of Technology, India, [email protected]

Abstract

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The health and well-being sector has been of significant interest to the behavioural design domain since bringing in behavioural changes can help improve the overall well-being of a community. However, the domain's intervention in this sector has been limited to persuasive techniques for the adoption of healthier lifestyles. There is a need to consider the diagnostic actions and decisions undertaken by doctors as it represents an important part of health and well-being improvement of people. Medical errors committed by healthcare professionals are an important aspect of the healthcare domain. Since these errors result due to undesired or non-normative behaviours, behavioural design can be instrumental in their eradication. But the research on integrating behavioural design and medical error literature is still nascent.

In this paper, we address this gap by identifying the categories of errors based on the performance levels within which they occur. Next, we contextualise these errors categories to medical literature focusing on the diagnostic stage. We further link it to the behavioural change model of COM-B to determine preliminary intervention functions that can be utilised by behavioural designers to deploy interventions.

Keywords

Medical ErrorsBehavioural DesignDecision makingDesign methodsSocial responsibility
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 767 - 776
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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