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Generation of FHIR-Based International Patient Summaries from ELGA Data
Alexander Dimitrov1, Georg Duftschmid1
1Section of Medical Information Management, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Studies in Health Technology and Informatics
|May 20, 2022
Summary
International Patient Summaries (IPS) can be automatically generated from Austrian Electronic Health Record (ELGA) data using FHIR. This demonstrates the feasibility of creating comprehensive patient summaries from national health records.
Area of Science:
- Health Informatics
- Electronic Health Records
Background:
- Patient summaries are crucial for healthcare provider situational awareness.
- International Patient Summaries (IPS) provide a standardized format for patient data exchange.
Purpose of the Study:
- To assess the feasibility of generating International Patient Summaries (IPS) in HL7 FHIR format from the Austrian Electronic Health Record (ELGA) system.
- To present a method for automated IPS generation using the FHIR Mapping Language.
Main Methods:
- Utilized data from the nationwide Austrian Electronic Health Record system (ELGA).
- Developed an automated solution employing the FHIR Mapping Language for IPS generation.
- Validated the generated documents against established IPS profiles.
Main Results:
- Successfully generated International Patient Summaries (IPS) in HL7 FHIR format from ELGA data.
- Demonstrated that all mandatory IPS sections can be populated using data available in ELGA.
- The automated generation process resulted in documents that validate against IPS profiles.
Conclusions:
- Automated generation of International Patient Summaries (IPS) from the Austrian Electronic Health Record (ELGA) system is feasible.
- The proposed FHIR Mapping Language solution effectively populates all required IPS sections.
- This approach facilitates improved patient data summarization and exchange within the Austrian healthcare system.
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