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Process Mining on FHIR AuditEvents: Conformance Checking with a Standard Operating Procedure for Chest Pain
Natasha Trajkovska1, Stefan Kastenhofer1, Simone Sandler1
1University of Applied Sciences Upper Austria.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
Analyzing hospital clinical workflows for chest pain cases revealed deviations from standard procedures. This highlights the need for process analytics to improve patient care by aligning data standards with real-world practices.
Area of Science:
- Health Informatics
- Clinical Process Analysis
- Healthcare Management
Background:
- Hospitals face challenges in aligning complex clinical workflows with treatment protocols.
- Real-world clinical processes often exhibit fragmentation and deviations from standard operating procedures (SOPs).
Purpose of the Study:
- To model clinical process flows for chest pain cases.
- To assess adherence to a defined SOP using HL7 FHIR AuditEvent data.
- To demonstrate the utility of process analytics in healthcare.
Main Methods:
- Analysis of HL7 FHIR AuditEvent sequences from 10 chest pain cases.
- Modeling of clinical process flows based on event data.
- Comparison of modeled workflows against a Medical University of Vienna SOP.
Main Results:
- Identified several deviations from the defined SOP in the analyzed chest pain cases.
- Illustrated the fragmented nature of actual clinical workflows.
- Demonstrated the feasibility of using audit event data for process analysis.
Conclusions:
- Combining medical data standards (HL7 FHIR) with process analytics can reveal workflow inefficiencies.
- Actionable insights can be derived from clinical data to improve patient care.
- Further research with larger datasets is warranted to validate findings.
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