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http://bura.brunel.ac.uk/handle/2438/29642| Title: | Hybrid Simulation in Healthcare Applications |
| Authors: | Anagnostou, A Taylor, SJE |
| Issue Date: | 23-Aug-2024 |
| Publisher: | Springer |
| Citation: | Anagnostou, 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. |
| Abstract: | Healthcare 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. |
| URI: | https://bura.brunel.ac.uk/handle/2438/29642 |
| DOI: | https://doi.org/10.1007/978-3-031-59999-6_11 |
| ISBN: | 978-3-031-59998-9 (pbk) 978-3-031-59999-6 (ebk) |
| Other Identifiers: | ORCiD: Anastasia Anagnostou https://orcid.org/0000-0003-3397-8307 ORCiD: Simon J.E. Taylor https://orcid.org/0000-0001-8252-0189 11 |
| Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 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). | 1.04 MB | Adobe PDF | View/Open |
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