Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways
Researchers have developed a new method to analyze hospital processes using process mining, focusing on COVID-19 clinical pathways. This approach transforms clinical data into an event log to reconstruct patient journeys, revealing variations in care and identifying factors like age and ICU exposure that impact outcomes. The findings aim to improve hospital governance by informing triage standardization, capacity planning, and care coordination. AI
IMPACT Introduces a novel data analysis technique for healthcare operations, potentially improving efficiency and patient outcomes.