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Petri Nets Validation of Markovian Models of Emergency Department Arrivals

Conference Paper
Publication Date:
2020
abstract:
Modeling of hospital’s Emergency Departments (ED) is vital for optimisation of health services offered to patients that shows up at an ED requiring treatments with different level of emergency. In this paper we present a modeling study whose contribution is twofold: first, based on a dataset relative to the ED of an Italian hospital, we derive different kinds of Markovian models capable to reproduce, at different extents, the statistical character of dataset arrivals; second, we validate the derived arrivals model by interfacing it with a Petri net model of the services an ED patient undergoes. The empirical assessment of a few key performance indicators allowed us to validate some of the derived arrival process model, thus confirming that they can be used for predicting the performance of an ED.
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
ED arrival process, Markovian models, Stochastic Petri nets
List of contributors:
Ballarini, P.; Duma, D.; Horvath, A.; Aringhieri, R.
Authors of the University:
DUMA DAVIDE
Handle:
https://iris.unipv.it/handle/11571/1440734
Book title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Published in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
  • Overview

Overview

URL

https://link.springer.com/chapter/10.1007/978-3-030-51831-8_11
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