ArticleJournal of biomedical informatics2012
Mapping Partners Master Drug Dictionary to RxNorm using an NLP-based approach.
Article in Journal of biomedical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03911687 (Communicating Narrative Concerns Entered by RNs), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Using electronic health records for clinical pharmacology research: Challenges and considerations.Clinical and translational science · 2024Review
- Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts.Journal of the American Medical Informatics Association : JAMIA · 2024Article
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- Natural Language Processing Combined with ICD-9-CM Codes as a Novel Method to Study the Epidemiology of Allergic Drug Reactions.The journal of allergy and clinical immunology. In practice · 2020Article
- Consensus Development of a Modern Ontology of Emergency Department Presenting Problems-The Hierarchical Presenting Problem Ontology (HaPPy).Applied clinical informatics · 2019Article
- Criteria2Query: a natural language interface to clinical databases for cohort definition.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Hospital Readmission and Social Risk Factors Identified from Physician Notes.Health services research · 2018Observational
- Food entries in a large allergy data repository.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Drug Normalization for Cancer Therapeutic and Druggable Genome Target Discovery.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
- Evaluation of RxNorm for Medication Clinical Decision Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- An effective method of large scale ontology matching.Journal of biomedical semantics · 2014Article
- Standardizing adverse drug event reporting data.Journal of biomedical semantics · 2014Article
- Automated identification of drug and food allergies entered using non-standard terminology.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo develop an automated method based on natural language processing (NLP) to facilitate the creation and maintenance of a mapping between RxNorm and a local medication terminology for interoperability and meaningful use purposes.
methodsWe mapped 5961 terms from Partners Master Drug Dictionary (MDD) and 99 of the top prescribed medications to RxNorm. The mapping was conducted at both term and concept levels using an NLP tool, called MTERMS, followed by a manual review conducted by domain experts who created a gold standard mapping. The gold standard was used to assess the overall mapping between MDD and RxNorm and evaluate the performance of MTERMS.
resultsOverall, 74.7% of MDD terms and 82.8% of the top 99 terms had an exact semantic match to RxNorm. Compared to the gold standard, MTERMS achieved a precision of 99.8% and a recall of 73.9% when mapping all MDD terms, and a precision of 100% and a recall of 72.6% when mapping the top prescribed medications.
conclusionThe challenges and gaps in mapping MDD to RxNorm are mainly due to unique user or application requirements for representing drug concepts and the different modeling approaches inherent in the two terminologies. An automated approach based on NLP followed by human expert review is an efficient and feasible way for conducting dynamic mapping.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.