Automated Input Data Management for Discrete Event Simulation Models of Emergency Departments

Juan Mogollon, Virginie Goepp, Oscar Avila, Roland de Guio

2023

Abstract

Emergency Department (ED) overcrowding, that relates to congestion due to the high number of patients, has a negative effect on patient waiting time. The analysis of the flow of patients through Discrete Event Simulation (DES), that models the operation of a system through a sequence of events, is a relevant approach to find a solution to such problem. This technique relies on high-quality input data which needs to be previously managed in a complete process known as Input Data Management (IDM). The objective of this research is to propose a tool to automate the IDM process required for DES models of ED. To do so, we used a case with real data in order to contextualize the problem, evaluate required statistical methods, and gather specific requirements. Based on these results, a prototype was designed and developed by using web and cloud application development tools.

Paper Citation

in Harvard Style

Mogollon J., Goepp V., Avila O. and de Guio R. (2023). Automated Input Data Management for Discrete Event Simulation Models of Emergency Departments. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 31-42. DOI: 10.5220/0011718600003467

in Bibtex Style

@conference{iceis23,
author={Juan Mogollon and Virginie Goepp and Oscar Avila and Roland de Guio},
title={Automated Input Data Management for Discrete Event Simulation Models of Emergency Departments},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2023},
pages={31-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011718600003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Automated Input Data Management for Discrete Event Simulation Models of Emergency Departments
SN - 978-989-758-648-4
AU - Mogollon J.
AU - Goepp V.
AU - Avila O.
AU - de Guio R.
PY - 2023
SP - 31
EP - 42
DO - 10.5220/0011718600003467
PB - SciTePress