The University of Southampton
University of Southampton Institutional Repository

On simulation reuse in healthcare applications

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.
0037-5497
Zschaler, Steffen
f5e15d1b-27ab-4edc-bbf6-97dd1de8f7d8
Mustafee, Navonil
946116f7-b085-42e8-8b7d-d96cdf3470a1
Harper, Alison
9c7a3928-cad5-47bd-a3fd-19134242ac31
Monks, Thomas
c675ef05-95c4-451d-a17a-11c5a2192427
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Polack, Fiona
8eedbeb6-bf0f-4575-b497-3238c19dcffb
Zschaler, Steffen
f5e15d1b-27ab-4edc-bbf6-97dd1de8f7d8
Mustafee, Navonil
946116f7-b085-42e8-8b7d-d96cdf3470a1
Harper, Alison
9c7a3928-cad5-47bd-a3fd-19134242ac31
Monks, Thomas
c675ef05-95c4-451d-a17a-11c5a2192427
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Polack, Fiona
8eedbeb6-bf0f-4575-b497-3238c19dcffb

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).

Record type: Article

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.

Text
On_Simulation_Reuse (1) - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (281kB)
Text
zschaler-et-al-2025-on-simulation-reuse-in-healthcare-applications - Version of Record
Available under License Creative Commons Attribution.
Download (605kB)

More information

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
ORCID for Bhakti Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X
ORCID for Christine S.M. Currie: ORCID iD orcid.org/0000-0002-7016-3652

Catalogue record

Date deposited: 09 Dec 2025 17:55
Last modified: 10 Dec 2025 02:55

Export record

Altmetrics

Contributors

Author: Steffen Zschaler
Author: Navonil Mustafee
Author: Alison Harper
Author: Thomas Monks
Author: Fiona Polack

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×