ArticleJournal of the American Medical Informatics Association : JAMIA2013
Drug-drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records.
Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 5 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
127 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- From interface to outcome: a 4I framework for AI-linked functionality in electronic health records.BMC medical informatics and decision making · 2026Pooled it
- Risk of Hypoglycemia Associated With Concomitant Use of Insulin Secretagogues and ACE Inhibitors in Adults With Type 2 Diabetes: A Systematic Review.Clinical pharmacology and therapeutics · 2025Pooled it
- Prevalence of Drug-Drug Interactions in Older Community-Dwelling Individuals: A Systematic Review and Meta-analysis.Drugs & aging · 2023 · on this mapPooled it
- Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems.Journal of clinical monitoring and computing · 2017Pooled it
- Impact of Clinical Decision Support on Antibiotic Prescribing for Acute Respiratory Infections: a Cluster Randomized Implementation Trial.Journal of general internal medicine · 2020Trial
- A randomized controlled trial to provide adherence information and motivational interviewing to improve diabetes and lipid control.The Diabetes educator · 2015Trial
- Barriers and facilitators for intensive care nurses in using clinical decision support systems for intravenous Y-site compatibility in intensive care: A survey study.International journal of nursing studies advances · 2026Article
- Performance, Heterogeneity, and Methodological Quality of YOLO-Based Models for Fracture Detection: A Systematic Review and Meta-Analysis.Journal of imaging informatics in medicine · 2026Review
- Navigating uncertainty matters: Evaluating large language models for drug-drug interaction identification.Journal of managed care & specialty pharmacy · 2026Article
- Co-designing an Outpatient Clinical Decision Support Prototype for Managing Social Risks in Patients Living with Dementia.Applied clinical informatics · 2026Article
- Specialist physician perspectives on clinical decision support to address secondary vaccine hesitancy.The journal of allergy and clinical immunology. Global · 2026Article
- Identifying false-positive drug allergy alerts based on drug tolerance assertions: a retrospective study.JAMIA open · 2026Article
- Interactions Between Direct Oral Anticoagulants and Drugs Involving CYP-Enzymes and P-gp Transporters Detected by a Clinical Decision Support System: A Retrospective Cohort Study.Cardiovascular drugs and therapy · 2026Article
- Comparative evaluation of artificial intelligence platforms and drug interaction screening databases using real-world patient data.Exploratory research in clinical and social pharmacy · 2025Article
- Effectiveness of computerised alerts to reduce drug-drug interactions (DDIs) and DDI-related harm in hospitalised patients: a quasi-experimental controlled pre-post study.BMJ quality & safety · 2025Article
- Article
- Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?Journal of medical Internet research · 2025Article
- Development of a Human Factors-Based Guideline to Support the Design, Evaluation, and Continuous Improvement of Clinical Decision Support.Mayo Clinic proceedings. Digital health · 2025Article
- Evaluation of sepsis CDS tool knowledge and utilization among graduate medical trainees: insights to inform redesign in an academic health system.Frontiers in medicine · 2025Article
67 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAlert fatigue represents a common problem associated with the use of clinical decision support systems in electronic health records (EHR). This problem is particularly profound with drug-drug interaction (DDI) alerts for which studies have reported override rates of approximately 90%. The objective of this study is to report consensus-based recommendations of an expert panel on DDI that can be safely made non-interruptive to the provider's workflow, in EHR, in an attempt to reduce alert fatigue.
methodsWe utilized an expert panel process to rate the interactions. Panelists had expertise in medicine, pharmacy, pharmacology and clinical informatics, and represented both academic institutions and vendors of medication knowledge bases and EHR. In addition, representatives from the US Food and Drug Administration and the American Society of Health-System Pharmacy contributed to the discussions.
resultsRecommendations and considerations of the panel resulted in the creation of a list of 33 class-based low-priority DDI that do not warrant being interruptive alerts in EHR. In one institution, these accounted for 36% of the interactions displayed. DISCUSSION: Development and customization of the content of medication knowledge bases that drive DDI alerting represents a resource-intensive task. Creation of a standardized list of low-priority DDI may help reduce alert fatigue across EHR.
conclusionsFuture efforts might include the development of a consortium to maintain this list over time. Such a list could also be used in conjunction with financial incentives tied to its adoption in EHR.
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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.