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Petri Nets Validation of Markovian Models of Emergency Department Arrivals

Contributo in Atti di convegno
Data di Pubblicazione:
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.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
ED arrival process, Markovian models, Stochastic Petri nets
Elenco autori:
Ballarini, P.; Duma, D.; Horvath, A.; Aringhieri, R.
Autori di Ateneo:
DUMA DAVIDE
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1440734
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pubblicato in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
  • Dati Generali

Dati Generali

URL

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