  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.
