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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29642
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dc.contributor.authorAnagnostou, A-
dc.contributor.authorTaylor, SJE-
dc.contributor.editorFakhimi, M-
dc.contributor.editorMustafee, N-
dc.date.accessioned2024-09-02T08:12:42Z-
dc.date.available2024-10-10-
dc.date.available2024-09-02T08:12:42Z-
dc.date.issued2024-08-23-
dc.identifierORCiD: Anastasia Anagnostou https://orcid.org/0000-0003-3397-8307-
dc.identifierORCiD: Simon J.E. Taylor https://orcid.org/0000-0001-8252-0189-
dc.identifier11-
dc.identifier.citationAnagnostou, A. and Taylor, S.J.E. (2024) 'Hybrid Simulation in Healthcare Applications', in Fakhimi, M. and Mustafee, N. (eds.) Hybrid Modeling and Simulation Conceptualizations, Methods and Applications. Cham: Springer, pp. 271 - 294. doi: 10.1007/978-3-031-59999-6_11.en_US
dc.identifier.isbn978-3-031-59998-9 (pbk)-
dc.identifier.isbn978-3-031-59999-6 (ebk)-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/29642-
dc.description.abstractHealthcare systems are traditionally characterised by complexity and heterogeneity. With the continuous increase in demand and shrinkage of available resources, the healthcare sector faces the challenge of delivering high quality services with fewer resources. Decision-makers typically are advised by experts in order to inform their policies and management strategies. One of the tools that is widely used to support evidence-based decisions is modelling and simulation (M&S). However, the size and complexity of healthcare systems constitute the conventional M&S techniques inadequate to model the system as a whole. Hybrid simulation, that combines one or more of the agent-based Simulation (ABS), discrete-event Simulation (DES) and System Dynamics (SD) techniques, is employed to enable holistic and detailed analysis of a system and also support model re-use. In this chapter, we discuss the use of hybrid simulation for emergency medical services and pandemic crisis management.en_US
dc.format.extent271 - 294 (24)-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rightsCopyright © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024 M. Fakhimi and N. Mustafee (eds.), Hybrid Modeling and Simulation, Simulation Foundations, Methods and Applications, https://doi.org/10.1007/978-3-031-59999-6_11. Embargoed indefinitely. Sharing of the published version is not permitted. Please consult the final version (see: https://www.springernature.com/gp/open-research/policies/book-policies).-
dc.rights.urihttps://www.springernature.com/gp/open-research/policies/book-policies-
dc.titleHybrid Simulation in Healthcare Applicationsen_US
dc.typeBook chapteren_US
dc.identifier.doihttps://doi.org/10.1007/978-3-031-59999-6_11-
dc.relation.isPartOfHybrid Modeling and Simulation Conceptualizations, Methods and Applications-
pubs.publication-statusPublished-
dc.rights.holderThe Author(s)-
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