On simulation reuse in healthcare applications
On simulation reuse in healthcare applications
Simulation remains a promising technology in healthcare operations research and process optimisation. However, while there have been many research projects applying simulation in this context, the level of sustained uptake in healthcare practice has been lower. We conjecture that an important reason for this is the time, cost and complexity of developing simulation models. Therefore, being able to reuse models would be key to improving uptake of simulation in healthcare. Conventional practice is that simulation models are developed from scratch for every new problem. In this paper, we review current strategies for model reuse in the healthcare context, aiming to identify complementary techniques for model reuse available to healthcare modellers and managers. Specifically, we identify three different modes of model reuse – forming a triadic framework – each prioritising a different aspect: FAIR and open-science aspects of model reuse; reusable conceptual simulation domains through modelling languages and transformations; and black-box model(-component) reuse including distributed simulation. We show how these three perspectives complement and enhance each other. We believe that developing concrete mechanisms and tools for leveraging the relationships between the three different modes of model reuse will be key to increasing the uptake of simulation modelling in healthcare practice.
Zschaler, Steffen
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Mustafee, Navonil
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Harper, Alison
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Monks, Thomas
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Onggo, Bhakti Stephan
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Currie, Christine S.M.
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Polack, Fiona
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Zschaler, Steffen
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Mustafee, Navonil
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Harper, Alison
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Monks, Thomas
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Onggo, Bhakti Stephan
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Currie, Christine S.M.
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Polack, Fiona
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Zschaler, Steffen, Mustafee, Navonil, Harper, Alison, Monks, Thomas, Onggo, Bhakti Stephan, Currie, Christine S.M. and Polack, Fiona
(2025)
On simulation reuse in healthcare applications.
Simulation.
(doi:10.1177/0037549725138391).
Abstract
Simulation remains a promising technology in healthcare operations research and process optimisation. However, while there have been many research projects applying simulation in this context, the level of sustained uptake in healthcare practice has been lower. We conjecture that an important reason for this is the time, cost and complexity of developing simulation models. Therefore, being able to reuse models would be key to improving uptake of simulation in healthcare. Conventional practice is that simulation models are developed from scratch for every new problem. In this paper, we review current strategies for model reuse in the healthcare context, aiming to identify complementary techniques for model reuse available to healthcare modellers and managers. Specifically, we identify three different modes of model reuse – forming a triadic framework – each prioritising a different aspect: FAIR and open-science aspects of model reuse; reusable conceptual simulation domains through modelling languages and transformations; and black-box model(-component) reuse including distributed simulation. We show how these three perspectives complement and enhance each other. We believe that developing concrete mechanisms and tools for leveraging the relationships between the three different modes of model reuse will be key to increasing the uptake of simulation modelling in healthcare practice.
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On_Simulation_Reuse (1)
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zschaler-et-al-2025-on-simulation-reuse-in-healthcare-applications
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Accepted/In Press date: 14 September 2025
e-pub ahead of print date: 12 November 2025
Identifiers
Local EPrints ID: 507462
URI: http://eprints.soton.ac.uk/id/eprint/507462
ISSN: 0037-5497
PURE UUID: 065ccab7-a899-49d1-8af1-8bd62ee60017
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Date deposited: 09 Dec 2025 17:55
Last modified: 10 Dec 2025 02:55
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Contributors
Author:
Steffen Zschaler
Author:
Navonil Mustafee
Author:
Alison Harper
Author:
Thomas Monks
Author:
Fiona Polack
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