SynthesisJournal of the American Medical Informatics Association : JAMIA
A systematic review to evaluate the accuracy of electronic adverse drug event detection.
Synthesis 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 23 papers, 2 of them syntheses 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
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Pooled it
- Supratherapeutic drug concentration triggers: A novel data-driven approach to assess their value for medication safety surveillance in intensive care.British journal of clinical pharmacology · 2026Article
- Drug-Event Pairs as Indicators for the Detection of Adverse Drug Reactions during Hospitalization in Routinely Collected Electronic Data Sources.Clinical pharmacology and therapeutics · 2025Article
- Use of the Electronic Health Record for Monitoring Adverse Drug Reactions.Current allergy and asthma reports · 2023Review
- Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification.Healthcare (Basel, Switzerland) · 2022Article
- Clinical validation of clinical decision support systems for medication review: A scoping review.British journal of clinical pharmacology · 2022Article
- Clinical Data Repositories: Primary Sources of Drug-to-Drug Interaction Detection and Risk Assessment.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across Hospitals.JAMA network open · 2020Article
- Development and Evaluation of a Clinical Decision Support System to Improve Medication Safety.Applied clinical informatics · 2019Article
- A Personalized and Learning Approach for Identifying Drugs with Adverse Events.Yonsei medical journal · 2017Article
- Article
- Designing an Adverse Drug Event Reporting System to Prevent Unintentional Reexposures to Harmful Drugs: Study Protocol for a Multiple Methods Design.JMIR research protocols · 2016Article
- A comprehensive intervention for adverse drug reactions identification and reporting in a Pediatric Emergency Department.International journal of clinical pharmacy · 2016Article
- Utilizing social media data for pharmacovigilance: A review.Journal of biomedical informatics · 2015Review
- Electronic Clinical Surveillance to Improve Outpatient Care: Diverse Applications within an Integrated Delivery System.EGEMS (Washington, DC) · 2014Article
- Knowledge discovery of drug data on the example of adverse reaction prediction.BMC bioinformatics · 2014Article
- Medication safety and knowledge-based functions: a stepwise approach against information overload.British journal of clinical pharmacology · 2013Article
- Detection of medication-related problems in hospital practice: a review.British journal of clinical pharmacology · 2013Review
- Multimorbidity, polypharmacy, referrals, and adverse drug events: are we doing things well?The British journal of general practice : the journal of the Royal College of General Practitioners · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAdverse drug events (ADEs), defined as adverse patient outcomes caused by medications, are common and difficult to detect. Electronic detection of ADEs is a promising method to identify ADEs. We performed this systematic review to characterize established electronic detection systems and their accuracy.
methodsWe identified studies evaluating electronic ADE detection from the MEDLINE and EMBASE databases. We included studies if they contained original data and involved detection of electronic triggers using information systems. We abstracted data regarding rule characteristics including type, accuracy, and rationale.
resultsForty-eight studies met our inclusion criteria. Twenty-four (50%) studies reported rule accuracy but only 9 (18.8%) utilized a proper gold standard (chart review in all patients). Rule accuracy was variable and often poor (range of sensitivity: 40%-94%; specificity: 1.4%-89.8%; positive predictive value: 0.9%-64%). 5 (10.4%) studies derived or used detection rules that were defined by clinical need or the underlying ADE prevalence. Detection rules in 8 (16.7%) studies detected specific types of ADEs.
conclusionSeveral factors led to inaccurate ADE detection algorithms, including immature underlying information systems, non-standard event definitions, and variable methods for detection rule validation. Few ADE detection algorithms considered clinical priorities. To enhance the utility of electronic detection systems, there is a need to systematically address these factors.
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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.