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dc.contributor.authorHarper, A
dc.contributor.authorMustafee, N
dc.contributor.authorPitt, M
dc.date.accessioned2022-11-16T13:09:24Z
dc.date.issued2022-11-16
dc.date.updated2022-11-16T11:58:49Z
dc.description.abstractResearch into real-time simulation applications outside of manufacturing environments has extended to sociotechnical systems such as healthcare over the past decade, where a number of published studies have demonstrated proof-of-concept models for near-future resource planning. Using real-time decision-support systems, people take decisions supported by the output of simulations. However real-time simulation frameworks abstract human intervention to an “external decision-maker,” with little regard to the complexities of underlying decision-making constructs, and how design and development decisions can impact the quality of decision-support. One such construct is situation awareness (SA), which is a precursor to decision-making. It is a dynamic state of knowledge about how a situation is unfolding; one approach to enhancing situation awareness is the provision of appropriate real-time information. We argue that design, development and implementation decisions should be focused at the interface between decision-making and decision-support. This integrative literature review proposes a SA framework integrating models of SA with a technical perspective for real-time simulation, to support an understanding of the cognitive needs of users alongside technical details during the development process. The implications for the usefulness and usability of real-time decision-support tools are discussed with application to Emergency Departments.en_GB
dc.description.sponsorshipEconomic and Social Research Councilen_GB
dc.description.sponsorshipEconomic and Social Research Councilen_GB
dc.description.sponsorshipNational Institute for Health Researchen_GB
dc.format.extent1-11
dc.identifier.citationPublished online 19 November 2022en_GB
dc.identifier.doihttps://doi.org/10.1080/01605682.2022.2147030
dc.identifier.grantnumberES/ P000630/1en_GB
dc.identifier.grantnumberES/W005875/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/131791
dc.identifierORCID: 0000-0001-5274-5037 (Harper, Alison)
dc.identifierScopusID: 57194533005 (Harper, Alison)
dc.identifierORCID: 0000-0002-2204-8924 (Mustafee, Navonil)
dc.identifierScopusID: 8355557400 (Mustafee, Navonil)
dc.identifierResearcherID: B-8313-2008 (Mustafee, Navonil)
dc.language.isoenen_GB
dc.publisherTaylor and Francisen_GB
dc.rights© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectReal-time simulationen_GB
dc.subjectdata analyticsen_GB
dc.subjectsituation awarenessen_GB
dc.subjectdecision-makingen_GB
dc.subjectdecision-supporten_GB
dc.titleIncreasing situation awareness in healthcare through real-time simulationen_GB
dc.typeArticleen_GB
dc.date.available2022-11-16T13:09:24Z
dc.identifier.issn0160-5682
dc.descriptionThis is the final version. Available from Taylor & Francis via the DOI in this record. en_GB
dc.identifier.eissn1476-9360
dc.identifier.journalJournal of the Operational Research Societyen_GB
dc.relation.ispartofJournal of the Operational Research Society
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-11-01
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-11-16
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-11-16T13:05:56Z
refterms.versionFCDVoR
refterms.dateFOA2022-11-16T13:09:28Z
refterms.panelAen_GB
refterms.dateFirstOnline2022-11-16


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© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits
unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.