Improving Hospital Process Management Through Process Mining: A Case Study On Covid-19 Clinical Pathways

This study analyzes COVID-19 care pathways using the COVID Data for Shared Learning dataset. We build a transparent, reproducible pipeline that transforms heterogeneous clinical tables into a processmining- ready event log and applies discovery, declarative conformance checking, and outcome analysis. The reconstructed pathways highlight the monitoring backbone of inpatient care, variability at the ER–admission interface, and outcome differences driven by age and ICU exposure. These insights support triage standardization, capacity planning, and ICU step-down coordination, showing how process mining can inform evidence-based hospital governance.