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Process mining enhances COVID-19 hospital care pathway analysis

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.

RANK_REASON This is a research paper published on arXiv detailing a new methodology for analyzing clinical pathways. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Samuele Latorre ·

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

    arXiv:2606.00041v1 Announce Type: cross 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 app…