Normalized names for clinical drugs: RxNorm at 6 years
By S. J. Nelson, Kelly Zeng, John Kilbourne, Tammy Powell, Robin Moore. J. Am. Medical Informatics Assoc., 2011
458 citations recorded by the source corpus.
OBJECTIVE In the 6 years since the National Library of Medicine began monthly releases of RxNorm, RxNorm has become a central resource for communicating about clinical drugs and supporting interoperation between drug vocabularies. MATERIALS AND METHODS Built on the idea of a normalized name for a medication at a given level of abstraction, RxNorm provides a set of names and relationships based on 11 different external source vocabularies. The standard model enables decision support to take place for a variety of uses at the appropriate level of abstraction. With the incorporation of National Drug File Reference Terminology (NDF-RT) from the Veterans Administration, even more sophisticated decision support has become possible. DISCUSSION While related products such as RxTerms, RxNav, MyMedicationList, and MyRxPad have been recognized as helpful for various uses, tasks such as identifying exactly what is and is not on the market remain a challenge.
Subfields: Artificial Intelligence, Information Systems, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/a4b229788f87a41d25b2de2ab4ce0de3db4c950c
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Citations in the corpus
- Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative (2021, background): “Entities are typically mapped to SNOMED Clinical Terms, a subset of the Unifed Medical Language System (UMLS) that contains over 400,000 concepts, or to RxNorm, a comprehensive clinical drug vocabulary [31, 33].”
- Detection of drug‐drug interactions through data mining studies using clinical sources, scientific literature and social media (2018, unknown): “There are related tools useful in drug standardization such as RxTerms, RxNav or MyMedicationList [135].”