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Using a Multi-Level Process Comparison for Process Change Analysis in Cancer Pathways.

Angelina Prima Kurniati1,2, Ciarán McInerney1, Kieran Zucker3

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Summary
This summary is machine-generated.

This study introduces a structured approach to analyze healthcare process changes over time. It uses qualitative comparison at multiple levels to understand evolving patient care patterns and identify critical change points.

Keywords:
cancer pathwaysconcept driftmulti-level process comparisonprocess changeprocess mining

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Area of Science:

  • Process Mining
  • Healthcare Process Analysis
  • Temporal Data Analysis

Background:

  • Healthcare processes are dynamic and evolve due to patient needs.
  • Analyzing process change over time is crucial for understanding care patterns.

Purpose of the Study:

  • To propose a structured, qualitative approach for analyzing process change over time in healthcare.
  • To detect, localize, characterize, and understand process evolution at multiple abstraction levels.

Main Methods:

  • Qualitative process comparison at three levels: process model (holistic), trace (middle-level), and activity (fine-grained).
  • Application of the approach to a case study of cancer pathways.
  • Analysis of process discovery miners and detailed investigation of specific activities.

Main Results:

  • Identified change points at multiple levels within the cancer pathway case study.
  • Demonstrated that the qualitative approach provides valuable insights into process change.
  • Showcased how multi-level analysis confirms or challenges findings, facilitating expert discussion.

Conclusions:

  • The proposed multi-level qualitative approach effectively analyzes complex process changes in healthcare.
  • This method aids in understanding process evolution and identifying critical junctures in care delivery.
  • The approach is beneficial for researchers and practitioners dealing with dynamic processes.