On simulation reuse in healthcare applications.

Area of Science:

• Healthcare Operations Research
• Simulation Modelling
• Process Optimisation

Background:

• Simulation is a valuable tool for healthcare operations research and process optimisation.
• Low uptake of simulation in healthcare practice is often due to the time, cost, and complexity of model development.
• Model reuse is identified as a key factor to improve simulation adoption in healthcare settings.

Purpose of the Study:

• To review current strategies for simulation model reuse in the healthcare context.
• To identify complementary techniques for model reuse for healthcare modellers and managers.
• To propose a triadic framework for enhancing simulation model reuse.

Main Methods:

• Review of existing literature and practices in simulation model reuse within healthcare.
• Identification and categorization of different modes of model reuse.
• Development of a triadic framework encompassing FAIR data, reusable domains, and black-box components.

Main Results:

• Three distinct modes of simulation model reuse were identified: FAIR and open-science aspects, reusable conceptual domains via modelling languages, and black-box model/component reuse.
• These three modes were shown to be complementary and mutually enhancing.
• A triadic framework for model reuse was proposed.

Conclusions:

• Addressing the time, cost, and complexity barriers through effective model reuse is essential for increasing simulation adoption in healthcare.
• Leveraging the interrelationships between FAIR data, reusable domains, and black-box components can significantly enhance simulation modelling in healthcare.
• Developing concrete mechanisms and tools to support these reuse strategies is critical for practical implementation.