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

Lecture notes in business information processing, pp. 315–327

Abstract

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.

Authors 9

1. Elisabetta Benevento corresponding Aachen Chair of Process and Data Science Department of Computer Science

   University of Pisa · RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science (PADS), Department of Computer Science, RWTH Aachen University, Aachen, Germany

   Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, Pisa, Italy

2. Marco Pegoraro corresponding Aachen Chair of Process and Data Science Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science (PADS), Department of Computer Science, RWTH Aachen University, Aachen, Germany

3. Mattia Antoniazzi

   University of Pisa

   Affiliation as printed

   Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, Pisa, Italy

4. Harry H. Beyel Aachen Chair of Process and Data Science Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science (PADS), Department of Computer Science, RWTH Aachen University, Aachen, Germany

5. Viki Peeva Aachen Chair of Process and Data Science Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science (PADS), Department of Computer Science, RWTH Aachen University, Aachen, Germany

6. Paul Balfanz Aachen Department of Cardiology, Angiology and Intensive Care Medicine

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Cardiology, Angiology and Intensive Care Medicine, RWTH University Hospital, Aachen, Germany

7. Wil M. P. van der Aalst Aachen Chair of Process and Data Science Department of Computer Science

   RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science (PADS), Department of Computer Science, RWTH Aachen University, Aachen, Germany

8. Lukas Märtin Aachen Department of Intensive Care and Intermediate Care

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Intensive Care and Intermediate Care, RWTH Aachen University Hospital, Aachen, Germany

9. Gernot Marx Aachen Department of Intensive Care and Intermediate Care

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Department of Intensive Care and Intermediate Care, RWTH Aachen University Hospital, Aachen, Germany