ArticleJournal of the American Medical Informatics Association : JAMIA
Evaluating standard terminologies for encoding allergy information.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Extracting cancer concepts from clinical notes using natural language processing: a systematic review.BMC bioinformatics · 2023Pooled it
- Clinical Decision Support Systems for Drug Allergy Checking: Systematic Review.Journal of medical Internet research · 2018Pooled it
- Using electronic health records for clinical pharmacology research: Challenges and considerations.Clinical and translational science · 2024Review
- Use of the Electronic Health Record for Monitoring Adverse Drug Reactions.Current allergy and asthma reports · 2023Review
- Heterogeneity of Drug Allergies and Reaction Lists in Two U.S. Health Care Systems' Electronic Health Records.Applied clinical informatics · 2022Article
- AllergyMap: An Open Source Corpus of Allergy Mention Normalizations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Consensus Development of a Modern Ontology of Emergency Department Presenting Problems-The Hierarchical Presenting Problem Ontology (HaPPy).Applied clinical informatics · 2019Article
- The New SNOMED CT International Medicinal Product Model.CEUR workshop proceedings. · 2018Article
- Clinical Concept Value Sets and Interoperability in Health Data Analytics.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Food entries in a large allergy data repository.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Assessments of the Veteran Medication Allergy Knowledge Gap and Potential Safety Improvements with the Veteran Health Information Exchange (VHIE).AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Meaningful Use of Electronic Health Records: Experiences From the Field and Future Opportunities.JMIR medical informatics · 2015Article
- 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
- Automated identification of drug and food allergies entered using non-standard terminology.Journal of the American Medical Informatics Association : JAMIAArticle
- Adverse and Hypersensitivity Reactions to Prescription Nonsteroidal Anti-Inflammatory Agents in a Large Health Care System.The journal of allergy and clinical immunology. In practiceArticle
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveAllergy documentation and exchange are vital to ensuring patient safety. This study aims to analyze and compare various existing standard terminologies for representing allergy information.
methodsFive terminologies were identified, including the Systemized Nomenclature of Medical Clinical Terms (SNOMED CT), National Drug File-Reference Terminology (NDF-RT), Medication Dictionary for Regulatory Activities (MedDRA), Unique Ingredient Identifier (UNII), and RxNorm. A qualitative analysis was conducted to compare desirable characteristics of each terminology, including content coverage, concept orientation, formal definitions, multiple granularities, vocabulary structure, subset capability, and maintainability. A quantitative analysis was also performed to compare the content coverage of each terminology for (1) common food, drug, and environmental allergens and (2) descriptive concepts for common drug allergies, adverse reactions (AR), and no known allergies.
resultsOur qualitative results show that SNOMED CT fulfilled the greatest number of desirable characteristics, followed by NDF-RT, RxNorm, UNII, and MedDRA. Our quantitative results demonstrate that RxNorm had the highest concept coverage for representing drug allergens, followed by UNII, SNOMED CT, NDF-RT, and MedDRA. For food and environmental allergens, UNII demonstrated the highest concept coverage, followed by SNOMED CT. For representing descriptive allergy concepts and adverse reactions, SNOMED CT and NDF-RT showed the highest coverage. Only SNOMED CT was capable of representing unique concepts for encoding no known allergies.
conclusionsThe proper terminology for encoding a patient's allergy is complex, as multiple elements need to be captured to form a fully structured clinical finding. Our results suggest that while gaps still exist, a combination of SNOMED CT and RxNorm can satisfy most criteria for encoding common allergies and provide sufficient content coverage.
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