ArticleJournal of the American Medical Informatics Association : JAMIA2017
Lower alert rates by clustering of related drug interaction alerts.
Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Identification, classification, and documentation of drug related problems in community pharmacy practice in Europe: a scoping review.International journal of clinical pharmacy · 2025Article
- Transitioning Cognitive Aids into Decision Support Platforms: Requirements and Design Guidelines.ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery · 2023Article
- Contextualized Drug-Drug Interaction Management Improves Clinical Utility Compared With Basic Drug-Drug Interaction Management in Hospitalized Patients.Clinical pharmacology and therapeutics · 2022Article
- Designing Interactive Alerts to Improve Recognition of Critical Events in Medical Emergencies.DIS. Designing Interactive Systems (Conference) · 2021Article
- Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication-Related Clinical Decision Support System: Model Development and Validation.JMIR medical informatics · 2020Article
- Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert).Journal of medical Internet research · 2020Article
- The Development of Practice Recommendations for Drug-Disease Interactions by Literature Review and Expert Opinion.Frontiers in pharmacology · 2020Article
- A cluster-based approach for integrating clinical management of Medicare beneficiaries with multiple chronic conditions.PloS one · 2019Article
- Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.Journal of medical Internet research · 2018Review
- Contributions from the 2016 Literature on Clinical Decision Support.Yearbook of medical informatics · 2017Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe aimed to investigate to what extent clustering of related drug interaction alerts (drug-drug and drug-disease interaction alerts) would decrease the alert rate in clinical decision support systems (CDSSs).
methodsWe conducted a retrospective analysis of drug interaction alerts generated by CDSSs in community pharmacies. Frequently generated combinations of alerts were analyzed for associations in a 5% random data sample (dataset 1). Alert combinations with similar management recommendations were defined as clusters. The alert rate was assessed by simulating a CDSS generating 1 alert per cluster per patient instead of separate alerts. The simulation was performed in dataset 1 and replicated in another 5% data sample (dataset 2).
resultsData were extracted from the CDSSs of 123 community pharmacies. Dataset 1 consisted of 841 572 dispensed prescriptions and 298 261 drug interaction alerts. Dataset 2 was comparable. Twenty-two frequently occurring alert combinations were identified. Analysis of these associated alert combinations for similar management recommendations resulted in 3 clusters (related to renal function, electrolytes, diabetes, and cardiovascular diseases). Using the clusters in alert generation reduced the alert rate within these clusters by 53-70%. The overall number of drug interaction alerts was reduced by 11% in dataset 1 and by 12% in dataset 2. This corresponds to a decrease of 21 alerts per pharmacy per day. DISCUSSION AND
conclusionUsing clusters of drug interaction alerts with similar management recommendations in CDSSs can substantially decrease the overall alert rate. Further research is needed to establish the applicability of this concept in daily practice.
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