Accessibility navigation

A normative method to analyse workarounds in a healthcare environment: motivations, consequences, and constraints

Nadhrah, N. and Michell, V. (2013) A normative method to analyse workarounds in a healthcare environment: motivations, consequences, and constraints. In: 14th International Conference on Informatics and Semiotics in Organisation (ICISO), 25 -27 Mar 2013, Stockholm, Sweden, pp. 195-205.

Text - Accepted Version
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.


Healthcare information systems have the potential to enhance productivity, lower costs, and reduce medication errors by automating business processes. However, various issues such as system complexity and system abilities in a relation to user requirements as well as rapid changes in business needs have an impact on the use of these systems. In many cases failure of a system to meet business process needs has pushed users to develop alternative work processes (workarounds) to fill this gap. Some research has been undertaken on why users are motivated to perform and create workarounds. However, very little research has assessed the consequences on patient safety. Moreover, the impact of performing these workarounds on the organisation and how to quantify risks and benefits is not well analysed. Generally, there is a lack of rigorous understanding and qualitative and quantitative studies on healthcare IS workarounds and their outcomes. This project applies A Normative Approach for Modelling Workarounds to develop A Model of Motivation, Constraints, and Consequences. It aims to understand the phenomenon in-depth and provide guidelines to organisations on how to deal with workarounds. Finally the method is demonstrated on a case study example and its relative merits discussed.

Item Type:Conference or Workshop Item (Paper)
Divisions:Henley Business School > Business Informatics, Systems and Accounting
ID Code:31983


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation