Methods for managing variation in clinical drug names.
Autor: | Peters L; National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA., Kapusnik-Uner JE, Bodenreider O |
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Jazyk: | angličtina |
Zdroj: | AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2010 Nov 13; Vol. 2010, pp. 637-41. Date of Electronic Publication: 2010 Nov 13. |
Abstrakt: | 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. |
Databáze: | MEDLINE |
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