The Emergency Department (ED) management presents a really high complexity due to the admissions of patients with a wide variety of diseases and different urgency, which require the execution of different activities involving human and medical resources. This can have an impact on ED overcrowding that may affect the quality and access of health care. In this paper we propose an ad hoc process mining approach to discover the paths of the patients served by an ED. Our aim is to obtain a process model capable (1) to replicate properly the possible patient paths, and (2) to predict the next activities in the view of a possible application to online optimisation. To prove its effectiveness, we apply our ad hoc approach to a real case study.

An ad hoc process mining approach to discover patient paths of an Emergency Department

Duma, Davide;Aringhieri, Roberto
2020-01-01

Abstract

The Emergency Department (ED) management presents a really high complexity due to the admissions of patients with a wide variety of diseases and different urgency, which require the execution of different activities involving human and medical resources. This can have an impact on ED overcrowding that may affect the quality and access of health care. In this paper we propose an ad hoc process mining approach to discover the paths of the patients served by an ED. Our aim is to obtain a process model capable (1) to replicate properly the possible patient paths, and (2) to predict the next activities in the view of a possible application to online optimisation. To prove its effectiveness, we apply our ad hoc approach to a real case study.
32
6
34
https://rdcu.be/bcXn4
Duma, Davide; Aringhieri, Roberto
File in questo prodotto:
File Dimensione Formato  
2018-DumaAringhieri-AnAdHocProcessMiningApproach-postPrint.pdf

Open Access dal 09/12/2019

Descrizione: Post print
Tipo di file: POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione 974.9 kB
Formato Adobe PDF
974.9 kB Adobe PDF Visualizza/Apri
2020-DumaAringhieri-AnAdHocProcessMiningApproach-published.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 3.18 MB
Formato Adobe PDF
3.18 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1684425
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 10
social impact