Using interoperable and standards-based approaches, his work focuses on transforming heterogeneous health data into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), a widely used data model in observational research. A new methodological approach on designing such transformations is explored, which exploits HL7 Clinical Document Architecture (CDA) Template Definitions to derive structural mappings of e.g. ELGA documents to OMOP. Another focus was the introduction of a semi-automated approach for aligning national drug terminologies with international standard vocabularies.
Overall, the work provides practical methods and transferable insights that support interoperable, research-ready use of clinical and patient-generated health data.