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Process Mining for Quality Improvement: Propositions for Practice and Research.

Sara Dahlin1, Henrik Eriksson, Hendry Raharjo

  • 1Division of Service Management and Logistics and Centre for Healthcare Improvement, Department of Technology Management and Economics, Chalmers University of Technology, Gothenburg, Sweden.

Quality Management in Health Care
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Summary
This summary is machine-generated.

Process mining enhances healthcare quality improvement by uncovering process variations for better system results. This approach offers deeper insights than traditional process mapping.

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Area of Science:

  • Healthcare Management
  • Information Systems
  • Process Analysis

Background:

  • Process mining is increasingly utilized in healthcare for patient flow analysis and process conformance.
  • Despite its decade-long presence, process mining's application in healthcare quality improvement remains limited.
  • A gap exists between the potential of process mining and its current use in quality improvement initiatives.

Purpose of the Study:

  • To demonstrate how process mining can effectively support and enhance quality improvement in healthcare.
  • To bridge the identified gap between process mining methodologies and practical quality improvement applications.
  • To provide a comparative analysis of process mining and process mapping in the context of quality improvement.

Main Methods:

  • A comprehensive literature review was conducted to compare process mining and process mapping.
  • Illustrative examples were developed to showcase process mining's application in quality improvement.
  • Limitations and propositions for practice and future research were identified.

Main Results:

  • Process mining offers superior capabilities in uncovering unwanted process variations compared to process mapping.
  • Two practical examples illustrate the application of process mining for quality improvement.
  • Four limitations were identified, leading to propositions for current practice.
  • Three propositions were formulated to guide future research in this domain.

Conclusions:

  • Process mining provides a more profound understanding of healthcare processes, leading to better system outcomes.
  • While process mapping retains value, a greater emphasis on process mining is recommended for quality improvement.
  • Process mining facilitates the identification of process variations crucial for optimizing healthcare quality.