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).
Authors
- Marta Cimitile (ORCID: https://orcid.org/0000-0003-2403-8313)
- Mario Luca Bernardi (ORCID: https://orcid.org/0000-0002-3223-7032)
- Pasquale Ardimento (ORCID: https://orcid.org/0000-0001-6134-2993)
- Samuele Latorre
Institutions
- University of Sannio (IT)
- University of Bari Aldo Moro (IT)
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