Effect of different patient peak arrivals on an Emergency Department via discrete event simulation

• URL: http://arxiv.org/abs/2101.12432v1
• Date: Fri, 29 Jan 2021 06:55:53 GMT
• Title: Effect of different patient peak arrivals on an Emergency Department via discrete event simulation
• Authors: G. Fava (1), T. Giovannelli (1), M. Messedaglia (2), M. Roma (1) ((1) Dipartimento di Ingegneria Informatica Automatica e Gestionale ''A. Ruberti'', SAPIENZA Universit\`a di Roma, (2) ACTOR Start up of SAPIENZA Universit\`a di Roma)
• Abstract summary: We propose a model to study the patient flows through a medium-size ED located in a region of Central Italy recently hit by a severe earthquake. In particular, our aim is to simulate unusual ED conditions, corresponding to critical events (like a natural disaster) that cause a sudden spike in the number of patient arrivals. The model provides a valid decision support system for the ED managers also in defining specific emergency plans to be activated in case of mass casualty disasters.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Emergency Departments (EDs) overcrowding is a well recognized worldwide phenomenon. The consequences range from long waiting times for visits and treatment of patients up to life-threatening health conditions. The international community is devoting greater and greater efforts to analyze this phenomenon aiming at reducing waiting times, improving the quality of the service. Within this framework, we propose a Discrete Event Simulation (DES) model to study the patient flows through a medium-size ED located in a region of Central Italy recently hit by a severe earthquake. In particular, our aim is to simulate unusual ED conditions, corresponding to critical events (like a natural disaster) that cause a sudden spike in the number of patient arrivals. The availability of detailed data concerning the ED processes enabled to build an accurate DES model and to perform extensive scenario analyses. The model provides a valid decision support system for the ED managers also in defining specific emergency plans to be activated in case of mass casualty disasters.

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