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Authors: Juan David Mogollon 1 ; Virginie Goepp 2 ; Oscar Avila 1 and Roland de Guio 2

Affiliations: 1 Department of Systems and Computing Engineering, School of Engineering, Universidad de los Andes, Bogota, Colombia ; 2 I-Cube, INSA Strasbourg, France

Keyword(s): Input Data Management, IDM, Discrete Event Simulation, Emergency Department, Health Information System.

Abstract: Emergency Departments (ED) are spaces prone to congestion due to the high number of patients. This problem, known as overcrowding, has negative effect on patient waiting time. In order to find a solution, analysis of the flow of patients through Discrete Event Simulation (DES) is a relevant approach that models the operation of a system through a sequence of events. 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 present our progress in the development of a software application to efficiently automate the IDM process required for DES of ED. Preliminary findings and results presented in this paper include the problem definition, the evaluation of required statistical methods, and the gathering of specific requirements from a case study with real data. Based on these results, this paper describes the initial architecture of a software application that s atisfies the identified requirements. (More)

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Paper citation in several formats:
Mogollon, J.; Goepp, V.; Avila, O. and de Guio, R. (2022). Statistical and Requirement Analysis for an IDM Tool for Emergency Department Simulation. In Proceedings of the 17th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-588-3; ISSN 2184-2833, SciTePress, pages 197-204. DOI: 10.5220/0011286300003266

@conference{icsoft22,
author={Juan David Mogollon. and Virginie Goepp. and Oscar Avila. and Roland {de Guio}.},
title={Statistical and Requirement Analysis for an IDM Tool for Emergency Department Simulation},
booktitle={Proceedings of the 17th International Conference on Software Technologies - ICSOFT},
year={2022},
pages={197-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011286300003266},
isbn={978-989-758-588-3},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Software Technologies - ICSOFT
TI - Statistical and Requirement Analysis for an IDM Tool for Emergency Department Simulation
SN - 978-989-758-588-3
IS - 2184-2833
AU - Mogollon, J.
AU - Goepp, V.
AU - Avila, O.
AU - de Guio, R.
PY - 2022
SP - 197
EP - 204
DO - 10.5220/0011286300003266
PB - SciTePress