Enhancing adverse drug reaction data quality in Canada: A high-precision pipeline for medication name standardization and enrichment.

ABSTRACT:

Background

The Canada Vigilance Adverse Reaction database is a vital pharmacovigilance tool, but its utility is severely limited by heterogeneity in medication nomenclature. A substantial portion (∼36.8%) of unique drug name variants in the database lack any mapping to an active ingredient, representing a critical data quality gap that can mask important adverse drug reaction (ADR) signals.

Methods

We developed, validated, and publicly released a high-precision, automated pipeline to standardize and enrich medication names. The pipeline employs a cascaded matching strategy that leverages the RxNorm and Observational Health Data Sciences and Informatics (OHDSI) vocabularies. Standardized names are assigned a RxNorm Concept Unique Identifier (RxCUI) and enriched with active in

SUBMITTER: Chalabianloo N 

PROVIDER: S-EPMC12463261 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature