Semiautomatic mapping of a national drug terminology to standardised OMOP drug concepts using publicly available supplementary information
The presented mapping approach highlights the feasibility and utility of leveraging publicly available supplementary data to create mappings between national drug terminology and RxN/E. Our method yields fine-grained mappings, enabling precise and comprehensive drug data integration for secondary use.
Authors
- Ágota Mészáros (ORCID: https://orcid.org/0000-0003-3418-1527)
- Florian Katsch (ORCID: https://orcid.org/0000-0001-7952-9326)
- Georg Duftschmid (ORCID: https://orcid.org/0000-0001-8007-0735)
- Rada Hussein (ORCID: https://orcid.org/0000-0003-1257-4848)
- Tibor Héja
Institutions
- Semmelweis University (HU)
- Austrian Institute for Health Technology Assessment GmbH (AT)
- Medical University of Vienna (AT)
- University of Pecs (HU)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s12874-025-02669-0
- Citations
- 1
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.81