ArticleJournal of the American Medical Informatics Association : JAMIA2016
Food entries in a large allergy data repository.
Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
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- A State-of-the Art Review of SNOMED CT Terminology Binding and Recommendations for Practice and Research.Methods of information in medicine · 2021Article
- Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review.Journal of medical Internet research · 2021Article
- Cloning, Expression, and Immunological Characterization of Formosan Subterranean Termite (Blattodea: Rhinotermitidae) Arginine Kinase.Journal of insect science (Online) · 2020Article
- Artificial intelligence approaches using natural language processing to advance EHR-based clinical research.The Journal of allergy and clinical immunology · 2020Review
- AllergyMap: An Open Source Corpus of Allergy Mention Normalizations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Development and validation of the PEPPER framework (Prenatal Exposure PubMed ParsER) with applications to food additives.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- A value set for documenting adverse reactions in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Hospital Readmission and Social Risk Factors Identified from Physician Notes.Health services research · 2018Observational
- Prevalence of food allergies and intolerances documented in electronic health records.The Journal of allergy and clinical immunology · 2017Article
- Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Applied clinical informatics · 2017Article
- Article
- 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
12 authors at 5 institutions in 2 countries.
Funding
Abstract
objectiveAccurate food adverse sensitivity documentation in electronic health records (EHRs) is crucial to patient safety. This study examined, encoded, and grouped foods that caused any adverse sensitivity in a large allergy repository using natural language processing and standard terminologies.
methodsUsing the Medical Text Extraction, Reasoning, and Mapping System (MTERMS), we processed both structured and free-text entries stored in an enterprise-wide allergy repository (Partners' Enterprise-wide Allergy Repository), normalized diverse food allergen terms into concepts, and encoded these concepts using the Systematized Nomenclature of Medicine - Clinical Terms (SNOMED-CT) and Unique Ingredient Identifiers (UNII) terminologies. Concept coverage also was assessed for these two terminologies. We further categorized allergen concepts into groups and calculated the frequencies of these concepts by group. Finally, we conducted an external validation of MTERMS's performance when identifying food allergen terms, using a randomized sample from a different institution.
resultsWe identified 158 552 food allergen records (2140 unique terms) in the Partners repository, corresponding to 672 food allergen concepts. High-frequency groups included shellfish (19.3%), fruits or vegetables (18.4%), dairy (9.0%), peanuts (8.5%), tree nuts (8.5%), eggs (6.0%), grains (5.1%), and additives (4.7%). Ambiguous, generic concepts such as "nuts" and "seafood" accounted for 8.8% of the records. SNOMED-CT covered more concepts than UNII in terms of exact (81.7% vs 68.0%) and partial (14.3% vs 9.7%) matches. DISCUSSION: Adverse sensitivities to food are diverse, and existing standard terminologies have gaps in their coverage of the breadth of allergy concepts.
conclusionNew strategies are needed to represent and standardize food adverse sensitivity concepts, to improve documentation in EHRs.
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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.