Analyzing Medical Data with Process Mining: a COVID-19 Case Study

arXiv (Cornell University)

Abstract

The recent increase in the availability of medical data, possible through automation and digitization of medical equipment, has enabled more accurate and complete analysis on patients' medical data through many branches of data science. In particular, medical records that include timestamps showing the history of a patient have enabled the representation of medical information as sequences of events, effectively allowing to perform process mining analyses. In this paper, we will present some preliminary findings obtained with established process mining techniques in regard of the medical data of patients of the Uniklinik Aachen hospital affected by the recent epidemic of COVID-19. We show that process mining techniques are able to reconstruct a model of the ICU treatments for COVID patients.

Authors 6

1. Marco Pegoraro Aachen Chair of Process and Data Science (PADS) 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

2. Madhavi Bangalore Shankara Narayana
3. Elisabetta Benevento Aachen Chair of Process and Data Science (PADS) 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

4. Wil M. P. van der Aalst Aachen Chair of Process and Data Science (PADS) 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. 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

6. 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