SynthesisBMC medical informatics and decision making2013
Criteria for assessing high-priority drug-drug interactions for clinical decision support in electronic health records.
Synthesis in BMC medical informatics and decision making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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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
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Alert fatigue measurement in clinical decision support: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2026Pooled it
- Prevalence of clinically manifested drug interactions in hospitalized patients: A systematic review and meta-analysis.PloS one · 2020Pooled it
- Exploring Potential Drug-Drug Interactions: A Cross-Sectional Study of 1 Million e-Prescriptions Across Medical Specialties in Shiraz, Iran (2021-2024).Iranian journal of medical sciences · 2026Article
- The curse and blessing of abundance-the evolution of drug interaction databases and their impact on drug network analysis.GigaScience · 2022Article
- DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Towards The Automated, Empirical Filtering of Drug-Drug Interaction Alerts in Clinical Decision Support Systems: Historical Cohort Study of Vitamin K Antagonists.JMIR medical informatics · 2021Article
- Review of Questions Concerning Clinical Drug Interactions in ADHD Treatment From Physicians in Norway.Frontiers in pharmacology · 2020Article
- Countrywide prevalence of critical drug interactions in Hungarian outpatients: a retrospective analysis of pharmacy dispensing data.BMC pharmacology & toxicology · 2019Article
- Article
- Reduced Effectiveness of Interruptive Drug-Drug Interaction Alerts after Conversion to a Commercial Electronic Health Record.Journal of general internal medicine · 2018Article
- The Impact of Provider Networks on the Co-Prescriptions of Interacting Drugs: A Claims-Based Analysis.Drug safety · 2017Article
- Generating Evidence of Clinical Outcomes of Drug-Drug Interactions.Drug safety · 2017Article
- How Physician Perspectives on E-Prescribing Evolve over Time. A Case Study Following the Transition between EHRs in an Outpatient Clinic.Applied clinical informatics · 2016Article
- Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision.Yearbook of medical informatics · 2016Review
- Physician perspectives of CYP2C19 and clopidogrel drug-gene interaction active clinical decision support alerts.International journal of medical informatics · 2016Article
- Potential drug-related problems detected by electronic expert support system: physicians' views on clinical relevance.International journal of clinical pharmacy · 2015Article
- Utilizing the Wikidata system to improve the quality of medical content in Wikipedia in diverse languages: a pilot study.Journal of medical Internet research · 2015Article
- Evaluating drug-drug interaction information in NDF-RT and DrugBank.Journal of biomedical semantics · 2015Article
- Pragmatic and Ethical Challenges of Incorporating the Genome into the Electronic Medical Record.Current genetic medicine reports · 2014Article
- Development of an Alert System to Detect Drug Interactions with Herbal Supplements using Medical Record Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHigh override rates for drug-drug interaction (DDI) alerts in electronic health records (EHRs) result in the potentially dangerous consequence of providers ignoring clinically significant alerts. Lack of uniformity of criteria for determining the severity or validity of these interactions often results in discrepancies in how these are evaluated. The purpose of this study was to identify a set of criteria for assessing DDIs that should be used for the generation of clinical decision support (CDS) alerts in EHRs.
methodsWe conducted a 20-year systematic literature review of MEDLINE and EMBASE to identify characteristics of high-priority DDIs. These criteria were validated by an expert panel consisting of medication knowledge base vendors, EHR vendors, in-house knowledge base developers from academic medical centers, and both federal and private agencies involved in the regulation of medication use.
resultsForty-four articles met the inclusion criteria for assessing characteristics of high-priority DDIs. The panel considered five criteria to be most important when assessing an interaction- Severity, Probability, Clinical Implications of the interaction, Patient characteristics, and the Evidence supporting the interaction. In addition, the panel identified barriers and considerations for being able to utilize these criteria in medication knowledge bases used by EHRs.
conclusionsA multi-dimensional approach is needed to understanding the importance of an interaction for inclusion in medication knowledge bases for the purpose of CDS alerting. The criteria identified in this study can serve as a first step towards a uniform approach in assessing which interactions are critical and warrant interruption of a provider's workflow.
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