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dc.contributor.authorHarper, A
dc.contributor.authorMustafee, N
dc.date.accessioned2022-05-30T07:26:03Z
dc.date.issued2022-05-26
dc.date.updated2022-05-28T15:46:44Z
dc.description.abstractFor strategic planning of healthcare services, understanding and accounting for future demand can support resource management. A hybrid modelling approach is well-placed to address these issues using demand projections with simulation for capacity planning. We present a methodology which conceptualises each stage as a collaborative activity in a strategic process. Medium-to-long term demand is uncertain, and depends upon internal and external factors. Our novel demand projections use both drivers of internal demand, and environmental scanning to identify external influences on demand. These create demand trajectories for each of three procedures that are used with discrete-event simulation to inform strategic planning for endoscopic diagnostic services. The study involved collaboration with a major Healthcare Trust in England, and demonstrates the applicability of our methodology to support strategic change at the regional service level by aligning external demand with internal resource planning.en_GB
dc.description.sponsorshipNational Institute for Health Research (NIHR)en_GB
dc.format.extent1-14
dc.identifier.citationPublished online 26 May 2022en_GB
dc.identifier.doihttps://doi.org/10.1080/01605682.2022.2078675
dc.identifier.urihttp://hdl.handle.net/10871/129768
dc.identifierORCID: 0000-0001-5274-5037 (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 & 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.subjectStrategic ORen_GB
dc.subjectdiscrete-event simulationen_GB
dc.subjecthybrid modellingen_GB
dc.subjecthealthcareen_GB
dc.titleStrategic resource planning of endoscopy services using hybrid modelling for future demographic and policy changeen_GB
dc.typeArticleen_GB
dc.date.available2022-05-30T07:26:03Z
dc.identifier.issn0160-5682
dc.descriptionThis is the final version. Available on open access from Taylor & Francis via the DOI in this recorden_GB
dc.identifier.eissn1476-9360
dc.identifier.journalJournal of the Operational Research Societyen_GB
dc.relation.ispartofJournal of the Operational Research Society
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-05-09
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-05-26
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-05-30T07:24:23Z
refterms.versionFCDVoR
refterms.dateFOA2022-05-30T07:26:07Z
refterms.panelAen_GB
refterms.dateFirstOnline2022-05-26


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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.