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INFORMS, Analytics, Research and Challenges Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Reducing Overcrowding at the Emergency Department Through a Different Physician and Nurse Shift Organisation: A Case Study

Authors : Roberto Aringhieri, Giovanni Bonetta, Davide Duma

Published in: New Trends in Emerging Complex Real Life Problems

Publisher: Springer International Publishing

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Abstract

Overcrowding is a widespread problem affecting the performance of an Emergency Department (ED). In this paper we deal with the overcrowding problem at the ED sited at Ospedale Sant’Antonio Abate di Cantù, Italy. Exploiting the huge amounts of data collected by the ED, we propose a new agent-based simulation model to analyse the real impact on the ED overcrowding of a different physicians and nurses shift organisations. The proposed simulation model demonstrates its capability of analysing the ED performance from a patient-centred perspective.

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previous chapter Constrained Job Rearrangements on a Single Machine
next chapter Integrating Mental Health into a Primary Care System: A Hybrid Simulation Model
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Metadata
Title
Reducing Overcrowding at the Emergency Department Through a Different Physician and Nurse Shift Organisation: A Case Study
Authors
Roberto Aringhieri
Giovanni Bonetta
Davide Duma
Copyright Year
2018
Book
New Trends in Emerging Complex Real Life Problems

Print ISBN: 978-3-030-00472-9

Electronic ISBN: 978-3-030-00473-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00473-6_6

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