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2020 | OriginalPaper | Chapter

Emergency Patient’s Arrivals Management Based on IoT and Discrete Simulation Using ARENA

Authors : Kaouter Karboub, Tabaa Mohamed, Fouad Moutaouakkil, Dellagi Sofiene, Abbas Dandache

Published in: Ubiquitous Networking

Publisher: Springer International Publishing

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Abstract

The healthcare ecosystem is now in a state of flux. Social, economic pressures beside demographic changes disrupt the balance of the health facilities. According to the Organization for Cooperation and Economic Development (OECD, 2004), “the last thirty years have been a period of change and of expansion for health systems”. Currently, the major problem remains about controlling the ever-increasing health expenditures. Thus, Hospitals are faced with a triple constraint: cost, time and quality.
The current ecosystem must simultaneously integrate these constraints in order to offer the best possible service to patient in a minimum time and at the optimal patient’s situation. We focus our interest on patients suffering from heart diseases, but still the global approach of the proposed model valid for other contexts. The proposed model is based on an extreme danger situation consisting of heart attacks.
In this paper, we aim to establish an embedded connectivity between heart diseases patients and their physicians. Real time monitoring plays an important role to establish that kind of connectivity.
In fact, the proposed simulation model is a Dynamic Stochastic Discrete model realized using ARENA software. All the results presented here are based on random data and can be replaced by real time data extracted and preprocessed using IoT sensors recording, and are referenced to a bi-objective function we are going to present in the following sections.

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Metadata
Title
Emergency Patient’s Arrivals Management Based on IoT and Discrete Simulation Using ARENA
Authors
Kaouter Karboub
Tabaa Mohamed
Fouad Moutaouakkil
Dellagi Sofiene
Abbas Dandache
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-58008-7_19

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