ArticleJAMIA open2026
Development and validation of a near-comprehensive RxNorm valueset of opioid medications.
Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: Develop a near-comprehensive opioid medications valueset for population measures of opioid related treatments and outcomes. The opioid valueset should be free, open source, and conform to the RxNorm standard federally mandated in every US-certified electronic health record. Materials and Methods: Cumulus opioid valueset was manually curated by the authors and expanded using computer assisted curation. Opioid classifier rules were developed to select opioid RxNorm concepts with known opioid receptor interactions, ingredients, keywords, and drug product formulations. Twelve publicly available valuesets were used to develop and validate the Cumulus opioid valueset. Validation accuracy was measured against a corpus of opioid medication orders and non-opioid pain relievers. Results: Cumulus opioid valueset recall was >99.9% when measured against opioid prescription RxNorm codes from UC Davis Health and Brigham and Women's Hospital. Cumulus opioid valueset was 100% specific compared to three valuesets of non-opioid pain relievers. Discussion and Conclusion: To the authors' knowledge, Cumulus opioid valueset is the largest publicly available valueset of opioid medications (8926 RxNorm concepts). The intended use of this opioid valueset is for population health measures of opioid medications and related patient outcomes.
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