ArticleJournal of the American Medical Informatics Association : JAMIA
Drug safety surveillance using de-identified EMR and claims data: issues and challenges.
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 32 papers, 1 of them a synthesis 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
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Comparison of Active Pharmacovigilance Strategies Used to Monitor Adverse Events to Antiviral Agents: A Systematic Review.Drug safety · 2024Pooled it
- Frequency, patient characteristics, and clinical management for extravasation with docetaxel: a descriptive study using a large Japanese medical claims database.Journal of pharmaceutical health care and sciences · 2025Article
- On the use of natural language processing to implement the target trial framework using unstructured data from the electronic health record.Global epidemiology · 2025Article
- Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.Scientific reports · 2025Observational
- Enhancing Precision in Detecting Severe Immune-Related Adverse Events: Comparative Analysis of Large Language Models and International Classification of Disease Codes in Patient Records.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024Article
- Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records.NPJ digital medicine · 2024Article
- Adverse drug reactions in hospitals: population estimates for Portugal and the ICD-9-CM to ICD-10-CM crosswalk.BMC health services research · 2023Article
- Sustained Effect of Clinical Decision Support for Heart Failure: A Natural Experiment Using Implementation Science.Applied clinical informatics · 2023Article
- Explainable detection of adverse drug reaction with imbalanced data distribution.PLoS computational biology · 2022Article
- Comparative assessment of manual chart review and ICD claims data in evaluating immunotherapy-related adverse events.Cancer immunology, immunotherapy : CII · 2021Article
- Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- A study of deep learning approaches for medication and adverse drug event extraction from clinical text.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Extracting Adverse Drug Event Information with Minimal Engineering.Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting · 2019Article
- A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Article
- Development of an algorithm to link electronic health record prescriptions with pharmacy dispense claims.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Review
- Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Complex temporal topic evolution modelling using the Kullback-Leibler divergence and the Bhattacharyya distance.EURASIP journal on bioinformatics & systems biology · 2016Article
- Computational Drug Repositioning Using Continuous Self-Controlled Case Series.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2016Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
The author discusses the challenges of pharmacovigilance using electronic medical record and claims data. Use of ICD-9 encoded data has low sensitivity for detection of adverse drug events (ADEs), because it requires that an ADE escalate to major-complaint level before it can be identified, and because clinical symptomatology is relatively under-represented in ICD-9. A more appropriate vocabulary for ADE identification, SNOMED CT, awaits wider deployment. The narrative-text record of progress notes can potentially be used for more sensitive ADE detection. More effective surveillance will require the ability to grade ADEs by severity. Finally, access to online drug information that includes both a reliable hierarchy of drug families as well as structured information on existing ADEs can improve the focus and predictive ability of surveillance efforts.
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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.