Discrete-event simulation (DES) models for healthcare service planning are time-consuming to develop
for both modellers and healthcare stakeholders. Model reuse is seen as a potential solution to reduce
duplication of effort and maximise the potential value gained from the model. One approach to model
reuse is to deploy a simulation ...
Discrete-event simulation (DES) models for healthcare service planning are time-consuming to develop
for both modellers and healthcare stakeholders. Model reuse is seen as a potential solution to reduce
duplication of effort and maximise the potential value gained from the model. One approach to model
reuse is to deploy a simulation model for the same purpose in a single application area, which can be
used for planning by healthcare staff such as managers, clinicians or analysts. A model deployed for reuse
by healthcare stakeholders needs to be shared and accessible. However, Python can present accessibility
and usability challenges for non-technical users. In this paper we investigate some of the advantages and
disadvantages to several methods of deploying interactive DES models to non-technical healthcare users.
Combining DES with methods and tools from computer science and software engineering, these hybrid
models aim to increase the usability, functionality, and accessibility of simulation models.
