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Performance Analysis of Emergency Room Episodes Through Process Mining.

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  • 1Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile. eric.rojas@uc.cl.

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Process Mining reveals that a loop between examination and treatment significantly increases Emergency Room (ER) episode duration. Higher severity and hospitalization lead to more loop repetitions, impacting patient wait times.

Keywords:
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Area of Science:

  • Healthcare Operations Research
  • Process Analysis
  • Emergency Medicine

Background:

  • Emergency Room (ER) performance analysis is crucial for reducing wait times, congestion, and improving care quality.
  • Understanding factors contributing to prolonged ER episodes is essential for operational efficiency.

Purpose of the Study:

  • To identify activities, sub-processes, interactions, and characteristics that explain prolonged ER episode durations.
  • To provide a methodological guide for future performance analysis in ER settings.

Main Methods:

  • Utilized Process Mining techniques to analyze ER episode data.
  • Investigated the relationship between specific process loops, episode severity, and discharge destinations.

Main Results:

  • A recurring loop between the Examination and Treatment sub-processes was identified as the primary cause of increased ER episode duration.
  • Episode severity directly correlates with the number of repetitions of the Examination-Treatment loop.
  • Episodes resulting in hospitalization are more likely to exhibit this Examination-Treatment loop.

Conclusions:

  • Reducing the frequency of the Examination-Treatment loop can decrease ER episode duration.
  • Optimizing this loop can lead to faster patient attention and improved ER throughput.
  • Findings offer actionable insights for ER managers to enhance patient flow and care delivery.