ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Using natural language processing in emergency medicine health service research: A systematic review and meta-analysis.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024Pooled it
- Can antiepileptic efficacy and epilepsy variables be studied from electronic health records? A review of current approaches.Seizure · 2021Pooled it
- Assessing pediatric clinician adherence to the guidelines for prevention of peanut allergy: a natural language processing study.BMC medical informatics and decision making · 2025Trial
- Development of a text mining algorithm for identifying adverse drug reactions in electronic health records.JAMIA open · 2024Article
- Narrative review of recent developments and the future of penicillin allergy de-labelling by non-allergists.npj antimicrobials and resistance · 2024Review
- Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records.BMC medical informatics and decision making · 2023Article
- Use of the Electronic Health Record for Monitoring Adverse Drug Reactions.Current allergy and asthma reports · 2023Review
- Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital.BMC medical informatics and decision making · 2023Article
- Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- A Framework for Augmented Intelligence in Allergy and Immunology Practice and Research-A Work Group Report of the AAAAI Health Informatics, Technology, and Education Committee.The journal of allergy and clinical immunology. In practice · 2022Article
- Patient Safety Risks Associated with Current Allergy-Related Clinical Decision Support.Hospital pharmacy · 2022Article
- Identifying adverse drug reactions from free-text electronic hospital health record notes.British journal of clinical pharmacology · 2022Article
- Multi-label classification of symptom terms from free-text bilingual adverse drug reaction reports using natural language processing.PloS one · 2022Article
- Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing.International wound journal · 2022Article
- 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
- A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- 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
- Artificial intelligence approaches using natural language processing to advance EHR-based clinical research.The Journal of allergy and clinical immunology · 2020Review
- Using Natural Language Processing and Machine Learning to Identify Hospitalized Patients with Opioid Use Disorder.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- AllergyMap: An Open Source Corpus of Allergy Mention Normalizations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Emergency department (ED) visits due to allergic reactions are common. Allergy information is often recorded in free-text provider notes; however, this domain has not yet been widely studied by the natural language processing (NLP) community. We developed an allergy module built on the MTERMS NLP system to identify and encode food, drug, and environmental allergies and allergic reactions. The module included updates to our lexicon using standard terminologies, and novel disambiguation algorithms. We developed an annotation schema and annotated 400 ED notes that served as a gold standard for comparison to MTERMS output. MTERMS achieved an F-measure of 87.6% for the detection of allergen names and no known allergies, 90% for identifying true reactions in each allergy statement where true allergens were also identified, and 69% for linking reactions to their allergen. These preliminary results demonstrate the feasibility using NLP to extract and encode allergy information from clinical notes.
Indexed as
Identifiers
25954363PMC4419999What OpenQuestion holds
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.