[2209.10897] Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study
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arXiv:2209.10897 (cs)
COVID-19 e-print

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[Submitted on 22 Sep 2022 (v1), last revised 23 Nov 2022 (this version, v3)]

Title:Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study

Authors:Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M.P. van der Aalst, Lukas Martin, Gernot Marx
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Abstract:The discipline of process mining has a solid track record of successful applications to the healthcare domain. Within such research space, we conducted a case study related to the Intensive Care Unit (ICU) ward of the Uniklinik Aachen hospital in Germany. The aim of this work is twofold: developing a normative model representing the clinical guidelines for the treatment of COVID-19 patients, and analyzing the adherence of the observed behavior (recorded in the information system of the hospital) to such guidelines. We show that, through conformance checking techniques, it is possible to analyze the care process for COVID-19 patients, highlighting the main deviations from the clinical guidelines. The results provide physicians with useful indications for improving the process and ensuring service quality and patient satisfaction. We share the resulting model as an open-source BPMN file.
Comments: 12 pages, 2 figures, 3 tables, 15 references
Subjects: Databases (cs.DB); Artificial Intelligence (cs.AI)
Cite as: arXiv:2209.10897 [cs.DB]
  (or arXiv:2209.10897v3 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.2209.10897

Submission history

From: Marco Pegoraro [view email]
[v1] Thu, 22 Sep 2022 10:08:51 UTC (588 KB)
[v2] Tue, 22 Nov 2022 13:05:03 UTC (588 KB)
[v3] Wed, 23 Nov 2022 14:47:09 UTC (588 KB)
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