ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2012
Using temporal patterns in medical records to discern adverse drug events from indications.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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
24 citing papers in PubMed.
- Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review.JMIR medical informatics · 2023Review
- An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects.Artificial intelligence review · 2023Article
- What Can We Learn About Drug Safety and Other Effects in the Era of Electronic Health Records and Big Data That We Would Not Be Able to Learn From Classic Epidemiology?The Journal of surgical research · 2020Review
- Extraction of Temporal Information from Clinical Narratives.Journal of healthcare informatics research · 2019Article
- Review
- Article
- The Safety of Drug Therapy in Children.Deutsches Arzteblatt international · 2015Review
- A method for systematic discovery of adverse drug events from clinical notes.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Application of clinical text data for phenome-wide association studies (PheWASs).Bioinformatics (Oxford, England) · 2015Article
- Towards a Computable Data Corpus of Temporal Correlations between Drug Administration and Lab Value Changes.PloS one · 2015Article
- Automated detection of off-label drug use.PloS one · 2014Article
- Standardizing adverse drug event reporting data.Journal of biomedical semantics · 2014Article
- Profiling risk factors for chronic uveitis in juvenile idiopathic arthritis: a new model for EHR-based research.Pediatric rheumatology online journal · 2013Article
- Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Pharmacovigilance using clinical notes.Clinical pharmacology and therapeutics · 2013Article
- Practice-based evidence: profiling the safety of cilostazol by text-mining of clinical notes.PloS one · 2013Article
- Automated Detection of Systematic Off-label Drug Use in Free Text of Electronic Medical Records.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013Article
- Learning signals of adverse drug-drug interactions from the unstructured text of electronic health records.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013Article
- ADEpedia 2.0: Integration of Normalized Adverse Drug Events (ADEs) Knowledge from the UMLS.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013Article
- The coming age of data-driven medicine: translational bioinformatics' next frontier.Journal of the American Medical Informatics Association : JAMIA · 2012Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Researchers estimate that electronic health record systems record roughly 2-million ambulatory adverse drug events and that patients suffer from adverse drug events in roughly 30% of hospital stays. Some have used structured databases of patient medical records and health insurance claims recently-going beyond the current paradigm of using spontaneous reporting systems like AERS-to detect drug-safety signals. However, most efforts do not use the free-text from clinical notes in monitoring for drug-safety signals. We hypothesize that drug-disease co-occurrences, extracted from ontology-based annotations of the clinical notes, can be examined for statistical enrichment and used for drug safety surveillance. When analyzing such co-occurrences of drugs and diseases, one major challenge is to differentiate whether the disease in a drug-disease pair represents an indication or an adverse event. We demonstrate that it is possible to make this distinction by combining the frequency distribution of the drug, the disease, and the drug-disease pair as well as the temporal ordering of the drugs and diseases in each pair across more than one million patients.
Identifiers
22779050PMC3392062What 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.