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Petri Nets Validation of Markovian Models of Emergency Department Arrivals

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 relativ...

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Detalles Bibliográficos
Autores principales: Ballarini, Paolo, Duma, Davide, Horváth, Andras, Aringhieri, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324247/
http://dx.doi.org/10.1007/978-3-030-51831-8_11
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author Ballarini, Paolo
Duma, Davide
Horváth, Andras
Aringhieri, Roberto
author_facet Ballarini, Paolo
Duma, Davide
Horváth, Andras
Aringhieri, Roberto
author_sort Ballarini, Paolo
collection PubMed
description 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.
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spelling pubmed-73242472020-06-30 Petri Nets Validation of Markovian Models of Emergency Department Arrivals Ballarini, Paolo Duma, Davide Horváth, Andras Aringhieri, Roberto Application and Theory of Petri Nets and Concurrency Article 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. 2020-06-02 /pmc/articles/PMC7324247/ http://dx.doi.org/10.1007/978-3-030-51831-8_11 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ballarini, Paolo
Duma, Davide
Horváth, Andras
Aringhieri, Roberto
Petri Nets Validation of Markovian Models of Emergency Department Arrivals
title Petri Nets Validation of Markovian Models of Emergency Department Arrivals
title_full Petri Nets Validation of Markovian Models of Emergency Department Arrivals
title_fullStr Petri Nets Validation of Markovian Models of Emergency Department Arrivals
title_full_unstemmed Petri Nets Validation of Markovian Models of Emergency Department Arrivals
title_short Petri Nets Validation of Markovian Models of Emergency Department Arrivals
title_sort petri nets validation of markovian models of emergency department arrivals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324247/
http://dx.doi.org/10.1007/978-3-030-51831-8_11
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