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Converting HL7 CDA Based Nationwide Austrian Medication Data to OMOP CDM.
Florian Katsch1,2, Rada Hussein1, Raffael Korntheuer2
1Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Studies in Health Technology and Informatics
|May 19, 2023
Summary
Austria
Area of Science:
- Health Informatics
- Clinical Data Management
- Pharmacovigilance
Background:
- Austria's national Electronic Health Record (EHR) system contains extensive medication data.
- Data are stored in structured HL7 Clinical Document Architecture (CDA) format.
- Accessibility of EHR data for research is crucial due to their completeness and volume.
Purpose of the Study:
- To describe the transformation of Austrian EHR HL7 CDA medication data into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM).
- To identify and address challenges in mapping Austrian drug terminology to OMOP standard concepts.
Main Methods:
- Extraction of medication prescription and dispense data from HL7 CDA documents.
- Development of a data transformation pipeline to map data to the OMOP CDM structure.
- Analysis of Austrian drug terminology and its alignment with OMOP standard drug concepts.
Main Results:
- Successful transformation of a significant volume of Austrian EHR medication data into the OMOP CDM.
- Identification of specific challenges in mapping local Austrian drug terminologies to standardized OMOP concepts.
- Development of preliminary mapping strategies for Austrian drug nomenclature.
Conclusions:
- The transformation of Austrian EHR data to OMOP CDM is feasible and enables large-scale research.
- Mapping local drug terminologies to OMOP standard concepts is a critical step requiring dedicated solutions.
- Further work is needed to refine mapping strategies and ensure comprehensive data utilization for research.
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