ATC-to-RxNorm mappings – A comparison between OHDSI Standardized Vocabularies and UMLS Metathesaurus
In conclusion, opting for OSV rather than UMLS is generally preferable for an ATC to RxNorm mapping since OSV provides more mappings. However, the results of the sample data show that UMLS can have fewer null mappings in concrete applications.
Authors
- Alexandra Kogan (ORCID: https://orcid.org/0000-0002-5926-1606)
- Ronald Cornet (ORCID: https://orcid.org/0000-0002-1704-5980)
- Savannah Glaser (ORCID: https://orcid.org/0000-0003-0103-079X)
- Anna Alloni (ORCID: https://orcid.org/0000-0003-4708-4822)
- Szymon Wilk (ORCID: https://orcid.org/0000-0002-7807-454X)
- Nicolette F. de Keizer (ORCID: https://orcid.org/0000-0002-6651-1730)
- Rowdy de Groot (ORCID: https://orcid.org/0000-0002-1248-1986)
- Matteo Gabetta (ORCID: https://orcid.org/0000-0001-9140-768X)
- Stephanie Medlock (ORCID: https://orcid.org/0000-0002-2679-8095)
Institutions
- Medivis (Italy) (IT)
- Amsterdam University Medical Centers (NL)
- Poznań University of Technology (PL)
- University of Amsterdam (NL)
- University of Haifa (IL)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1016/j.ijmedinf.2024.105777
- Citations
- 2
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- European Commission
- Horizon 2020 Framework Programme
- FP7 Coordination of Research Activities