A Framework for Constructing Discrete Event Simulation Models for Emergency Medical Service Policy Analysis

Saeid Amouzad Mahdiraji*, Johan Holmgren, Ala'A Alshaban, Radu-Casian Mihailescu, Jesper Petersson, Jabir Al Fatah

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

Constructing simulation models can be a complex and time-consuming task, in particular if the models are constructed from scratch or if a general-purpose simulation modeling tool is used. In this paper, we propose a model construction framework, which aims to simplify the process of constructing discrete event simulation models for emergency medical service (EMS) policy analysis. The main building blocks used in the framework are a set of general activities that can be used to represent different EMS care chains modeled as flowcharts. The framework allows to build models only by specifying input data, including demographic and statistical data, and providing a care chain of activities and decisions. In a case study, we evaluated the framework by using it to construct a model for the simulation of the EMS activities related to acute stroke. Our evaluation shows that the predefined activities included in the framework are sufficient to build a simulation model for the rather complex case of acute stroke.
Original languageEnglish
Pages (from-to)133-140
Number of pages8
JournalProcedia Computer Science
Volume210
Early online date14 Nov 2022
DOIs
Publication statusPublished - 2022
Event13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / The 12th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare - Leuven, Belgium
Duration: 26 Oct 202228 Oct 2022

Keywords

  • Care chain
  • EMS
  • Model construction framework
  • Simulation model

ASJC Scopus subject areas

  • General Computer Science

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