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Seeing the Signs of Workarounds: A Mixed-Methods Approach to the Detection of Nurses’ Process Deviations

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dc.contributor.author Beerepoot, Iris
dc.contributor.author Lu, Xixi
dc.contributor.author Van De Weerd, Inge
dc.contributor.author Alexander Reijers, Hajo
dc.date.accessioned 2020-12-24T19:46:37Z
dc.date.available 2020-12-24T19:46:37Z
dc.date.issued 2021-01-05
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/71072
dc.description.abstract Workarounds are intentional deviations from prescribed processes. They are most commonly studied in healthcare settings, where nurses are known for frequently deviating from the intended way of using health information systems. However, workarounds in healthcare have only been studied using qualitative methods, such as observations and interviews. We conduct a case study in a Dutch hospital and use a mixed-methods approach that draws not only on interviews and observations, but also on process mining, to detect and analyse eight workarounds that occur in a clinical care process. We contribute to theory by demonstrating that it is possible to use data to determine the occurrence of a rich variety of workarounds found using qualitative methods. Practically, this implies that workarounds that are identified qualitatively can be further analysed and monitored using quantitative methods. Once identified, workarounds also provide an attractive starting point for organisational learning and improvement.
dc.format.extent 10 pages
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Optimization, Simulation and IT for Healthcare Processes and Services
dc.subject healthcare processes
dc.subject multi-perspective conformance checking
dc.subject process mining
dc.subject quantitative methods
dc.subject workarounds
dc.title Seeing the Signs of Workarounds: A Mixed-Methods Approach to the Detection of Nurses’ Process Deviations
dc.identifier.doi 10.24251/HICSS.2021.456
prism.startingpage 3763
Appears in Collections: Optimization, Simulation and IT for Healthcare Processes and Services


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