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.

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

Aringhieri, Roberto;Bonetta, Giovanni;Duma, Davide
2018-01-01

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.
2018
Optimization and Decision Science (ODS2018)
Taormina - Italy
September 10 to 13, 2018
New Trends in Emerging Complex Real Life Problems
Springer
1
43
53
978-3-030-00472-9
978-3-030-00473-6
https://link.springer.com/chapter/10.1007/978-3-030-00473-6_6
Aringhieri, Roberto; Bonetta, Giovanni; Duma, Davide
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1696839
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