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 <i>from scratch</i> 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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Publication Details

Journal
SIMULATION
Published
2025-11-12
DOI
https://doi.org/10.1177/00375497251383912
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
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article

On simulation reuse in healthcare applications

Bhakti Stephan Onggo, Alison L. Harper, Navonil Mustafee, Thomas Monks et al.
SIMULATION
Healthcare Operations and Scheduling Optimization
article

On simulation reuse in healthcare applications

Bhakti Stephan Onggo, Alison L. Harper, Navonil Mustafee, Thomas Monks, Fiona Polack, Christine Currie, Steffen Zschaler
article en

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 <i>from scratch</i> 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.

SIMULATIONVol. 102(2)
King's College London (GB), University of Hull (GB), University of Exeter (GB), University of Southampton (GB)
Openalex Percentile: Top 49%
Healthcare Operations and Scheduling Optimization
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