ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2023
Evaluation of Discrepancies Among National Library of Medicine (NLM) Value Set Authority Center (VSAC) ICD-10-CM Value Sets: Case Study for Diagnoses of Common Chronic Conditions, Implications, and Potential Solutions.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed, 0 citations in OpenAlex.
- CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications.Journal of the American Medical Informatics Association : JAMIA · 2026Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
The National Library of Medicine (NLM)'s Value Set Authority Center (VSAC) is a crowd-sourced repository with a potential for substantial discrepancy among value sets for the same clinical concepts. To characterize this potential problem, we identified the most common chronic conditions affecting US adults and assessed for discrepancy among VSAC ICD-10-CM value sets for these conditions. An analysis of 32 value sets for 12 conditions identified that a median of 45% of codes for a given condition were potentially problematic (included in at least one, but not all, theoretically equivalent value sets). These problematic codes were used to document clinical care for potentially over 20 million patients in a data warehouse of approximately 150 million US adults. Users of VSAC diagnosis value sets should be cognizant of the prevalence of these discrepancies and take proactive steps to mitigate their impact. Further research is warranted to characterize and address this issue.
Indexed as
Identifiers
38222435PMC10785892W4390889406What OpenQuestion holds
Registered trials
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