Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways
Year: 2026
Type: preprint
Abstract: This record contains the Author Accepted Manuscript (AAM) of the paper "Improving Hospital Process Management Through Process Mining: A Case Study on COVID-19 Clinical Pathways", presented at the 14th World Conference on Information Systems and Technologies (WorldCIST 2026). The paper presents a process mining approach for analyzing COVID-19 clinical pathways with the objective of improving hospital process management. The proposed methodology supports the discovery and analysis of real clinical workflows, enabling the identification of process inefficiencies and providing insights to support evidence-based process improvement in healthcare settings. This manuscript is the accepted version of the paper after peer review and prior to Springer copy-editing and typesetting. The final Version of Record has been published by Springer in the Lecture Notes in Networks and Systems series and is available at: https://doi.org/10.1007/978-3-032-32023-0_6 The published Version of Record should be cited as: Ardimento, P., Bernardi, M. L., Cimitile, M., Latorre, S. (2027). Improving Hospital Process Management Through Process Mining: A Case Study on COVID-19 Clinical Pathways. In: Rocha, A., Adeli, H., Moreira, F. (eds) Recent Trends and Challenges in Information Systems and Technologies. WorldCIST 2026. Lecture Notes in Networks and Systems, vol. 2092. Springer, Cham. https://doi.org/10.1007/978-3-032-32023-0_6 © Springer Nature. This repository contains the Author Accepted Manuscript made available in accordance with the publisher's self-archiving policy. Please consult the publisher's terms of use for any reuse beyond personal research purposes. This work was supported by the National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.1, funded by the European Union – NextGenerationEU, through the project aRtificial intElligence for Process Analytics (REPA) (Grant Assignment Decree No. 2022CJWPNA; CUP Università degli Studi di Bari Aldo Moro: H53C24000960006; CUP UnitelmaSapienza: I53C24002420006), funded by the Italian Ministry of University and Research (MUR). Readers are encouraged to cite the published Version of Record rather than this manuscript.
Institutions: University of Bari Aldo Moro, University of Sannio
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7161546724
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