Deploying Reusable Healthcare Simulation Models in Python

Abstract

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.