ArticleJournal of the American Medical Informatics Association : JAMIA2018
A value set for documenting adverse reactions in electronic health records.
Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Use of Electronic Health Records to Study Drug-Induced Hypersensitivity Reactions from 2000 to 2021: A Systematic Review.Immunology and allergy clinics of North America · 2022Pooled it
- The combined use of natural language processing and electronic health records data to identify historical tolerances of β-lactams and promote clinician confidence in future use.Health systems (Basingstoke, England) · 2026Article
- Developing a SNOMED CT-Based Value Set to Document Symptoms and Diagnoses for Adverse Drug Events: Mixed Methods Study.JMIR medical informatics · 2025Article
- Adverse Drug Events in Ambulatory Care: A Cross-Sectional Study.Drug safety · 2025Article
- Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Article
- Use of the Electronic Health Record for Monitoring Adverse Drug Reactions.Current allergy and asthma reports · 2023Review
- A Novel Informatics Tool to Detect Periprocedural Antibiotic Allergy Adverse Events for Near Real-time Surveillance to Support Audit and Feedback.JAMA network open · 2023Article
- Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study.Journal of medical Internet research · 2023Article
- Dynamic reaction picklist for improving allergy reaction documentation: A usability study.International journal of medical informatics · 2023Article
- Patient Characteristics Associated With Reactions to Mrgprx2-Activating Drugs in an Electronic Health Record-Linked Biobank.The journal of allergy and clinical immunology. In practice · 2023Observational
- Clinical decision support malfunctions related to medication routes: a case series.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Identifying and Reconciling Patients' Allergy Information Within the Electronic Health Record.Studies in health technology and informatics · 2022Article
- Immediate and Delayed Hypersensitivity Reactions to Beta-Lactam Antibiotics.Clinical reviews in allergy & immunology · 2022Review
- Improving Allergy Documentation: A Retrospective Electronic Health Record System-Wide Patient Safety Initiative.Journal of patient safety · 2022Article
- Vancomycin Hypersensitivity Reactions Documented in Electronic Health Records.The journal of allergy and clinical immunology. In practice · 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
- Advances in drug allergy, urticaria, angioedema, and anaphylaxis in 2018.The Journal of allergy and clinical immunology · 2019Review
- Drug Hypersensitivity Reactions Documented in Electronic Health Records within a Large Health System.The journal of allergy and clinical immunology. In practice · 2019Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Objective: To develop a comprehensive value set for documenting and encoding adverse reactions in the allergy module of an electronic health record. Materials and Methods: We analyzed 2 471 004 adverse reactions stored in Partners Healthcare's Enterprise-wide Allergy Repository (PEAR) of 2.7 million patients. Using the Medical Text Extraction, Reasoning, and Mapping System, we processed both structured and free-text reaction entries and mapped them to Systematized Nomenclature of Medicine - Clinical Terms. We calculated the frequencies of reaction concepts, including rare, severe, and hypersensitivity reactions. We compared PEAR concepts to a Federal Health Information Modeling and Standards value set and University of Nebraska Medical Center data, and then created an integrated value set. Results: We identified 787 reaction concepts in PEAR. Frequently reported reactions included: rash (14.0%), hives (8.2%), gastrointestinal irritation (5.5%), itching (3.2%), and anaphylaxis (2.5%). We identified an additional 320 concepts from Federal Health Information Modeling and Standards and the University of Nebraska Medical Center to resolve gaps due to missing and partial matches when comparing these external resources to PEAR. This yielded 1106 concepts in our final integrated value set. The presence of rare, severe, and hypersensitivity reactions was limited in both external datasets. Hypersensitivity reactions represented roughly 20% of the reactions within our data. Discussion: We developed a value set for encoding adverse reactions using a large dataset from one health system, enriched by reactions from 2 large external resources. This integrated value set includes clinically important severe and hypersensitivity reactions. Conclusion: This work contributes a value set, harmonized with existing data, to improve the consistency and accuracy of reaction documentation in electronic health records, providing the necessary building blocks for more intelligent clinical decision support for allergies and adverse reactions.
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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.