Map Drugs: Latvian Products

Map Latvian national medicinal products to RxNorm standard concepts.

When to Use

When asked to map a Latvian product to RxNorm, or create/review a mapping.tsv in a Latvia product folder.

Prerequisites

Refer to the find-concepts skill for how to search for RxNorm concepts, and the map-drugs skill for general mapping principles.

Input Files

Each product folder under data/latvia/products/<active_substance>/<product_name>/ contains:

• data_<date>.tsv: Presentation-level data with product_id, original_name, strength, pharmaceutical_form, product_strength (total dose/volume), package_en, and package_size. This is the primary input — read it first.
• info.txt: Product metadata with short_name, active_substance, marketing_authorisation_holder, manufacturer, atc_code, and links to PIL and SmPC

The parent folder name is the active substance (Latin name), and the product folder name is the brand name.

Output Format

Create mapping.tsv in the product folder following the schema in the map-drugs skill. The source ID column is product_id (Latvian product registry ID).

Mapping Workflow

1. Read data_*.tsv to get all presentations — this has product_id, strength, pharmaceutical_form, and product_strength (total dose/volume) for every registered package
2. Read info.txt to get the active substance (English name from Latin folder name) and brand name
3. Only check the SmPC link if data_*.tsv does not provide enough detail to make an informed mapping decision (e.g., ambiguous dose form, unclear concentration basis)
4. Search broadly using the find-concepts skill:

   python3 .claude/skills/find-concepts/scripts/find_concepts.py "warfarin sodium 3 MG Oral Tablet" "warfarin 3 mg" "warfarin oral tablet"
   

5. Verify the match - confirm ingredient and strength match exactly
6. Validate the mapping:

   python3 .claude/skills/map-drugs/validate_mapping.py data/latvia/products/<substance>/<product>/mapping.tsv
   

7. Regenerate combined files after all mappings are complete:

   python3 scripts/generate_mapping_overviews.py
   

Latvia-specific Pitfalls

• Latin vs English substance names: Folders use Latin names (e.g., warfarinum_natricum) but RxNorm uses English (e.g., warfarin sodium)
• Products without RxNorm equivalent: Leave concept fields empty, populate suggestion