Authors:
Juan 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):
Emergency Department, Health Information System, Input Data Management, IDM, Discrete Event Simulation.
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.