Work

Methods for managing variation in clinical drug names.

Year: 2010

Type: conference-paper

Abstract: OBJECTIVES: To develop normalization methods for managing the variation in clinical drug names. METHODS: Manual examination of drug names from RxNorm and local variants collected from formularies led to the identification of three types of drug-specific normalization rules: expansion of abbreviations (e.g., tab to tablet);reformatting of specific elements (e.g., space between number and unit); and removal of salt variants (e.g., succinate from metoprolol succinate). RESULTS: After drug-specific normalization, recall of 3397 previously non-matching names from formularies reaches 45% overall (70% of some subsets), compared to 10-20% after generic normalization. Ambiguity has not increased significantly in the RxNorm dataset. CONCLUSIONS: A limited number of drug-specific normalization operations provide significant improvement over general language normalization.

Source: PubMed

Authors: Lee Peters, Joan E Kapusnik-Uner, Olivier Bodenreider

Institutions: National Institutes of Health, United States National Library of Medicine

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W155235004

FWCI: 10.24

Cites: 5

Cited by: 18

Related to: 10