Abstract
The performance analysis an Emergency Department (ED) is fundamental and necessary to plan the service when it is affected by increasing number of patients due to an external scenario multiple victims from accidents, disasters or catastrophes. In order to perform this analysis, it is important to set up a simulated scenario that allows this study. The proposal is to analyze the ED simulator developed by the HPC4EAS research group at UAB by taking it to a stress situation. The work analyzes key performance indicator (KPI) that measure the performance of an ED (length of stay, waiting queue length, service rate) and make it possible to evaluate the percentage of patients that can be attended without altering the available resources. Study allowed us to determine that the care box (area A - area for the care of seriously ill patients) becomes congested when 40% more patients than usual are received, and the next resource to become congested is the room for the care of milder patients (area B). Analysis that will later allow us to investigate what happens when there is an accident, natural disaster or pandemic.
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Acknowledgment
This research has been supported by the Agencia Estatal de Investigacion (AEI), Spain and the Fondo Europeo de Desarrollo Regional (FEDER) UE, under contracts PID2020- 112496GB-I00 and partially funded by the Fundacion Escue- las Universitarias Gimbernat (EUG).
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Rodriguez, M. et al. (2023). Resilience Analysis of an Emergency Department in Stressful Situations. In: Naiouf, M., Rucci, E., Chichizola, F., De Giusti, L. (eds) Cloud Computing, Big Data & Emerging Topics. JCC-BD&ET 2023. Communications in Computer and Information Science, vol 1828. Springer, Cham. https://doi.org/10.1007/978-3-031-40942-4_4
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DOI: https://doi.org/10.1007/978-3-031-40942-4_4
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