Strategic resource planning of endoscopy services using hybrid modelling for future demographic and policy change
dc.contributor.author | Harper, A | |
dc.contributor.author | Mustafee, N | |
dc.date.accessioned | 2022-05-30T07:26:03Z | |
dc.date.issued | 2022-05-26 | |
dc.date.updated | 2022-05-28T15:46:44Z | |
dc.description.abstract | For 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.sponsorship | National Institute for Health Research (NIHR) | en_GB |
dc.format.extent | 1-14 | |
dc.identifier.citation | Published online 26 May 2022 | en_GB |
dc.identifier.doi | https://doi.org/10.1080/01605682.2022.2078675 | |
dc.identifier.uri | http://hdl.handle.net/10871/129768 | |
dc.identifier | ORCID: 0000-0001-5274-5037 (Harper, Alison) | |
dc.identifier | ORCID: 0000-0002-2204-8924 (Mustafee, Navonil) | |
dc.identifier | ScopusID: 8355557400 (Mustafee, Navonil) | |
dc.identifier | ResearcherID: B-8313-2008 (Mustafee, Navonil) | |
dc.language.iso | en | en_GB |
dc.publisher | Taylor & Francis | en_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.subject | Strategic OR | en_GB |
dc.subject | discrete-event simulation | en_GB |
dc.subject | hybrid modelling | en_GB |
dc.subject | healthcare | en_GB |
dc.title | Strategic resource planning of endoscopy services using hybrid modelling for future demographic and policy change | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-05-30T07:26:03Z | |
dc.identifier.issn | 0160-5682 | |
dc.description | This is the final version. Available on open access from Taylor & Francis via the DOI in this record | en_GB |
dc.identifier.eissn | 1476-9360 | |
dc.identifier.journal | Journal of the Operational Research Society | en_GB |
dc.relation.ispartof | Journal of the Operational Research Society | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-05-09 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-05-26 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-05-30T07:24:23Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-05-30T07:26:07Z | |
refterms.panel | A | en_GB |
refterms.dateFirstOnline | 2022-05-26 |
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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.