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Managing Emergency Units Applying Queueing Theory
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Author(s): Salvador Hernández-González (Instituto Tecnologico de Celaya, Mexico), Manuel Dario Hernández-Ripalda (Instituto Tecnologico de Celaya, Mexico), Anakaren González-Pérez (Instituto Tecnologico de Celaya, Mexico), Moises Tapia-Esquivias (Instituto Tecnologico de Celaya, Mexico)and Alicia Luna-González (Instituto Tecnologico de Celaya, Mexico)
Copyright: 2016
Pages: 25
Source title:
Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes
Source Author(s)/Editor(s): Giner Alor-Hernández (Instituto Tecnológico de Orizaba, Mexico), Cuauhtémoc Sánchez-Ramírez (Instituto Tecnológico de Orizaba, Mexico)and Jorge Luis García-Alcaraz (Universidad Autónoma de Ciudad Juárez, Mexico)
DOI: 10.4018/978-1-5225-0130-5.ch022
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Abstract
Today managers of health systems must manage the resources at their disposal to ensure that service quality is adequate, this leads at the same time making decisions to ensure that these resources are managed efficiently and effectively. The decision process in healthcare systems is not trivial given the complexity of these systems. The application of tools (like queueing theory) for decision making in hospital systems is an area of opportunity because of the increasing financial pressure and the growing demand for care. This document shows how queueing theory can be applied for analyzing the performance of an Emergency Unit under different capacity scenarios. The analysis shows that increasing the number of servers required to maintain constant congestion(emphasis on efficiency)is more expensive than adding servers to maintain constant the probability that a patient has to wait (emphasis on quality and efficiency). The paper ends with recommendations for future research.
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