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Comparative Process Mining for Identifying the Critical Activities in Sepsis Trajectories.

Mohsen Mohammadi1

  • 1Computer Engineering Department Esfarayen University of Technology Esfarayen Iran.

Healthcare Technology Letters
|May 7, 2025
PubMed
Summary

Process mining identified critical sepsis care activities like 'Return ER' and 'Admission IC' as bottlenecks. Optimizing these steps can reduce delays, improve patient outcomes, and lower sepsis mortality.

Keywords:
critical activityhealthcareprocess miningsepsis trajectories

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Area of Science:

  • Healthcare Operations Research
  • Clinical Informatics
  • Process Mining

Background:

  • Sepsis management is complex, with high mortality and readmission rates.
  • Identifying critical activities in sepsis treatment pathways is challenging.
  • Inefficiencies in care pathways can negatively impact patient outcomes.

Purpose of the Study:

  • To identify critical activities and bottlenecks in sepsis treatment pathways using process mining.
  • To analyze key performance metrics (sojourn time, arrival rate, finish rate) across patient clusters.
  • To provide actionable insights for optimizing sepsis management.

Main Methods:

  • Utilized comparative process mining on real-life sepsis event logs.
  • Applied K-means clustering to segment patients based on age, severity, and clinical indicators.
  • Analyzed performance metrics to pinpoint critical care activities.

Main Results:

  • Identified 'Return ER', 'Admission IC', and 'Release C' as critical activities with high sojourn times.
  • These activities were found to be significant bottlenecks, especially in severe sepsis cases.
  • Delays in these critical activities correlate with increased complications and mortality.

Conclusions:

  • Targeted interventions at identified critical activities can optimize sepsis care pathways.
  • Process mining offers a valuable approach to enhance efficiency and reduce sepsis-related mortality.
  • Optimizing these bottlenecks can lead to improved patient outcomes and reduced readmissions.