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Adherence to Guidelines Supported by Process Mining.

Klaus Arthofer1

  • 1Research Center Steyr, University of Applied Sciences Upper Austria, Steyr, Austria.

Studies in Health Technology and Informatics
|April 24, 2025
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Summary
This summary is machine-generated.

Automating clinical guideline adherence checks is possible using process mining. Coding healthcare activities with SNOMED CT procedures ensures accurate conformance checking for better patient care.

Keywords:
Data MiningHealth CareProcess AssessmentStandard of Care

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Area of Science:

  • Health Informatics
  • Process Mining
  • Clinical Guideline Adherence

Background:

  • Clinical guideline adherence is crucial for high-quality patient care.
  • Conformance checking, a process mining technique, offers potential for automating guideline adherence assessment.

Purpose of the Study:

  • Investigate the practical application of conformance checking for clinical guidelines.
  • Evaluate methods for automating the assessment of adherence to healthcare standards.

Main Methods:

  • Simulated conformance checking using generated test data and a FHIR server.
  • Employed process mining tools for practical simulation.
  • Conducted a parallel literature review on the topic.

Main Results:

  • Clinical guideline activities and healthcare processes require standardized coding using clinical nomenclature for effective conformance checking.
  • Successful simulation demonstrated the feasibility of automated adherence assessment.

Conclusions:

  • SNOMED CT is recommended as the standard clinical nomenclature.
  • Healthcare activities should be coded using SNOMED CT concepts, specifically of the "procedure" type, to facilitate conformance checking.