A new approach to getting simulation models used in healthcare: An example from emergency care

dc.contributor.authorEngland, Tracey
dc.contributor.authorConroy, Simon
dc.contributor.authorBrailsford, Sally
dc.contributor.authorBurton, Christopher
dc.contributor.authorMartin, Graham
dc.contributor.authorMason, Suzanne M.
dc.contributor.authorMaynou Pujolràs, Laia
dc.contributor.authorPhelps, Kay
dc.contributor.authorPreston, Louise
dc.contributor.authorRegen, Emma
dc.contributor.authorStreet, Andrew
dc.contributor.authorvan Oppen, James D.
dc.date.accessioned2026-03-20T09:42:17Z
dc.date.available2026-03-20T09:42:17Z
dc.date.issued2025-12-01
dc.date.updated2026-03-20T09:42:17Z
dc.description.abstractWhile simulation is routinely used by practitioners in many sectors, it is still not part of the hospital manager’s standard toolkit. One of the barriers to adoption often described is lack of trust: people trust models that they were involved in developing, but not necessarily those developed for other hospitals, no matter how similar. However, generic models designed to be applicable anywhere also face challenges, as potential users may distrust this one-size-fits-all approach. This paper presents a new approach to tackling this problem. Initially a “semi-generic” model is developed, namely a model that is applicable to a small group of hospitals that have some particular feature in common, e.g., geographical location/size. The semi-generic version is then tested extensively with stakeholders, first from within the initial group of hospitals and later from outside it. Finally, based on feedback from all the stakeholders, the model is adapted to make it fully generic, i.e., applicable to any hospital. The approach is illustrated by a system dynamics model which allows users to test the system-wide impact of five evidence-based interventions for older people in hospital Emergency Departments. Initially developed for one specific region, the fully generic version can be used anywhere in England.
dc.format.extent12 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec759175
dc.identifier.issn0160-5682
dc.identifier.urihttps://hdl.handle.net/2445/228353
dc.language.isoeng
dc.publisherTaylor & Francis
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1080/01605682.2025.2483787
dc.relation.ispartofJournal of the Operational Research Society, 2025, vol. 76, num.12, p. 2579-2590
dc.relation.urihttps://doi.org/10.1080/01605682.2025.2483787
dc.rightscc-by (c) England et al., 2025
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (Econometria, Estadística i Economia Aplicada)
dc.subject.classificationModels matemàtics
dc.subject.classificationMètodes de simulació
dc.subject.classificationAssistència sanitària
dc.subject.classificationGestió d'emergències
dc.subject.otherMathematical models
dc.subject.otherSimulation methods
dc.subject.otherMedical care
dc.subject.otherEmergency management
dc.titleA new approach to getting simulation models used in healthcare: An example from emergency care
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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