ArticlePediatrics2019
Optimizing Drug-Drug Interaction Alerts Using a Multidimensional Approach.
Article in Pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Contraindicated drug-drug interactions and associated adverse drug reactions in an observational cohort study of 4543 paediatric hospitalized patients.British journal of clinical pharmacology · 2026Observational
- Management and governance of medication prescribing alerts among hospitals in Japan: a nationwide survey.BMJ open quality · 2025Article
- Allergy alerting and overrides for opioid analogues across two health systems.BMJ health & care informatics · 2025Observational
- Facilitators and Barriers to Uptake of Drug-Drug Interaction Alerts: Perspectives of Australian End Users and Managers.Applied clinical informatics · 2025Article
- Evaluation of an electronic health record Drug Interaction Customization Editor (DICE).American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2024Article
- Multicomponent processes to identify and prioritise low-value care in hospital settings: a scoping review.BMJ open · 2024Article
- Leveraging explainable artificial intelligence to optimize clinical decision support.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Using AI-generated suggestions from ChatGPT to optimize clinical decision support.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Clinician adherence to pharmacogenomics prescribing recommendations in clinical decision support alerts.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Contextualized Drug-Drug Interaction Management Improves Clinical Utility Compared With Basic Drug-Drug Interaction Management in Hospitalized Patients.Clinical pharmacology and therapeutics · 2022Article
- The potential for leveraging machine learning to filter medication alerts.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Seeking the Right Time for Venous Thromboembolism Prophylaxis Alerts.The Brown journal of hospital medicine · 2022Article
- Article
- High-priority drug-drug interaction clinical decision support overrides in a newly implemented commercial computerized provider order-entry system: Override appropriateness and adverse drug events.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- A Minimal Information Model for Potential Drug-Drug Interactions.Frontiers in pharmacology · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectivesExcessive alerts are a common concern associated with clinical decision support systems that monitor drug-drug interactions (DDIs). To reduce the number of low-value interruptive DDI alerts at our hospital, we implemented an iterative, multidimensional quality improvement effort, which included an interdisciplinary advisory group, alert metrics, and measurement of perceived clinical value.
methodsAlert data analysis indicated that DDIs were the most common interruptive medication alert. An interdisciplinary alert advisory group was formed to provide expert advice and oversight for alert refinement and ongoing review of alert data. Alert data were categorized into drug classes and analyzed to identify DDI alerts for refinement. Refinement strategies included alert suppression and modification of alerts to be contextually aware.
resultsOn the basis of historical analysis of classified DDI alerts, 26 alert refinements were implemented, representing 47% of all alerts. Alert refinement efforts resulted in the following substantial decreases in the number of interruptive DDI alerts: 40% for all clinicians (22.9-14 per 100 orders) and as high as 82% for attending physicians (6.5-1.2 per 100 orders). Two patient safety events related to alert refinements were reported during the project period.
conclusionsOur quality improvement effort refined 47% of all DDI alerts that were firing during historical analysis, significantly reduced the number of DDI alerts in a 54-week period, and established a model for sustained alert refinements.
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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.