Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways

• URL: http://arxiv.org/abs/2606.00041v1
• Date: Tue, 28 Apr 2026 09:24:27 GMT
• Title: Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways
• Abstract summary: This study analyzes COVID-19 care pathways using the COVID Data for Shared Learning dataset.<n>We build a transparent, reproducible pipeline that transforms heterogeneous clinical tables into a process-mining-ready event log.
• Score: 1.7219362335740878
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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 process-mining-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 Emergency department-admission interface, and outcome differences driven by age and exposure to intensive care units. These insights support triage standardization, capacity planning, and step-down coordination from intensive care units to lower-acuity wards, showing how process mining can inform evidence-based hospital governance.

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