Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways

This is a preprint (submitted version) of a paper accepted for publication and presentation at WorldCIST 2026. This version has not undergone post-acceptance improvements, copy-editing, or typesetting. The Version of Record will be published in *Lecture Notes in Networks and Systems* (Springer Nature). The final authenticated version will be available via its DOI. We acknowledge financial support under the National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.1, funded by the European Union – NextGenerationEU, Project “aRtificial intElligence for Process Analytics (REPA)” – Grant Assignment Decree No. 2022CJWPNA (CUP Università degli Studi di Bari Aldo Moro H53C24000960006; CUP UNITELMA I53C24002420006), funded by the Italian Ministry of University and Research (MUR).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20267724
Primary Topic
Business Process Modeling and Analysis
Type
preprint
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preprint

Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways

Marta Cimitile, Mario Luca Bernardi, Pasquale Ardimento, Samuele Latorre
Zenodo (CERN European Organization for Nuclear Research)
Business Process Modeling and Analysis
preprint

Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways

Marta Cimitile, Mario Luca Bernardi, Pasquale Ardimento, Samuele Latorre
preprint en

Abstract

This is a preprint (submitted version) of a paper accepted for publication and presentation at WorldCIST 2026. This version has not undergone post-acceptance improvements, copy-editing, or typesetting. The Version of Record will be published in *Lecture Notes in Networks and Systems* (Springer Nature). The final authenticated version will be available via its DOI. We acknowledge financial support under the National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.1, funded by the European Union – NextGenerationEU, Project “aRtificial intElligence for Process Analytics (REPA)” – Grant Assignment Decree No. 2022CJWPNA (CUP Università degli Studi di Bari Aldo Moro H53C24000960006; CUP UNITELMA I53C24002420006), funded by the Italian Ministry of University and Research (MUR).

Zenodo (CERN European Organization for Nuclear Research)
University of Sannio (IT), University of Bari Aldo Moro (IT)
Partnerships for the goals
Business Process Modeling and Analysis
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Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways — Marta Cimitile, Mario Luca Bernardi, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS