map-latvia-drugs

Map Latvian medicinal products to RxNorm by reading presentation-level data_*.tsv files, performing broad RxNorm searches with find-concepts, and validating outputs with map-drugs scripts to generate a schema-compliant mapping.tsv file.

Consult SmPC or PIL references during drug vocabulary mapping only when needed to resolve ambiguous doses, formulation bases, or country-specific naming conventions that cannot be clarified from presentation-level data_*.tsv and info.txt files alone.

Yes, you can use RxNorm find-concepts searches to resolve ambiguous pharmaceutical formulations in OMOP datasets by querying standard concepts and then verifying the matches against presentation-level data and info.txt context.

The best way to validate vocabulary mapping outputs for OMOP compliance is to run repository map-drugs validation scripts on your generated mapping.tsv file to ensure all records conform to the required downstream schema.

Resolve country-specific naming conventions by reading the local presentation-level data_*.tsv and info.txt files first, and only consulting SmPC references if the product naming or formulation base remains ambiguous after the initial data review.

Mapping presentation-level drug records without SmPC context risks misinterpreting ambiguous doses or formulation bases, because data_*.tsv and info.txt files may lack the detailed pharmaceutical descriptions needed for accurate RxNorm standard concept matching.