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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Adherence to Guidelines Supported by Process Mining
1Research Center Steyr, University of Applied Sciences Upper Austria, Steyr, Austria.
Studies in Health Technology and Informatics
|April 24, 2025
Summary
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.
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.
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