Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study.

ABSTRACT:

Background

The Systematic Nomenclature of Medicine Clinical Terms (SNOMED CT) is being advocated as the foundation for encoding clinical documentation. While the electronic medical record is likely to play a critical role in pharmacovigilance - the detection of adverse events due to medications - classification and reporting of Adverse Events is currently based on the Medical Dictionary of Regulatory Activities (MedDRA). Complete and high-quality MedDRA-to-SNOMED CT mappings can therefore facilitate pharmacovigilance. The existing mappings, as determined through the Unified Medical Language System (UMLS), are partial, and record only one-to-one correspondences even though SNOMED CT can be used compositionally. Efforts to map previously unmapped MedDRA concepts would be most product

SUBMITTER: Nadkarni PM 

PROVIDER: S-EPMC2988705 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature