ReviewJournal of the American Medical Informatics Association : JAMIA
Computerized clinical decision support for medication prescribing and utilization in pediatrics.
Review 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 31 papers, 5 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
31 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Use of Computerized Physician Order Entry with Clinical Decision Support to Prevent Dose Errors in Pediatric Medication Orders: A Systematic Review.Paediatric drugs · 2024Pooled it
- How effective are electronic medication systems in reducing medication error rates and associated harm among hospital inpatients? A systematic review and meta-analysis.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Interventions for promoting participation in shared decision-making for children and adolescents with cystic fibrosis.The Cochrane database of systematic reviews · 2019Pooled it
- Clinical Decision Support Systems for Drug Allergy Checking: Systematic Review.Journal of medical Internet research · 2018Pooled it
- Interventions for reducing medication errors in children in hospital.The Cochrane database of systematic reviews · 2015Pooled it
- Verification of the value of optimization of the medication-related clinical decision support system in China, a hospital-based study.JAMIA open · 2026Article
- AI-guided precision parenteral nutrition for neonatal intensive care units.Nature medicine · 2025Article
- Modeling and scientific analysis of pediatric medication evaluation based on MDM-DEA-Malmquist model: construction of health management in pediatrics in developing countries.Italian journal of pediatrics · 2025Article
- Article
- Usability assessments in clinical decision support systems.Northern clinics of Istanbul · 2025Article
- Understanding prescribing errors for system optimisation: the technology-related error mechanism classification.BMJ health & care informatics · 2024Article
- An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome.JAMIA open · 2022Article
- High alert drugs screening using gradient boosting classifier.Scientific reports · 2021Article
- Evaluation Framework for Successful Artificial Intelligence-Enabled Clinical Decision Support Systems: Mixed Methods Study.Journal of medical Internet research · 2021Article
- Clinical decision support systems-based interventions to improve medication outcomes: A systematic literature review on features and effects.Medical journal of the Islamic Republic of Iran · 2021Review
- Exploring the Impact of the Rational Antibiotic Use System on Hospital Performance: The Direct Effect and the Spillover Effect.International journal of environmental research and public health · 2019Article
- Comparison of Antibiotic Dosing Before and After Implementation of an Electronic Order Set.Applied clinical informatics · 2019Article
- Mathematical Model for Computer-Assisted Modification of Medication Dosing Rules.Biomedical informatics insights · 2019Article
- Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis.JMIR medical informatics · 2018Review
- Use of a Web-Based Calculator and a Structured Report Generator to Improve Efficiency, Accuracy, and Consistency of Radiology Reporting.Journal of digital imaging · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveAccurate and informed prescribing is essential to ensure the safe and effective use of medications in pediatric patients. Computerized clinical decision support (CCDS) functionalities have been embedded into computerized physician order entry systems with the aim of ensuring accurate and informed medication prescribing. Owing to a lack of comprehensive analysis of the existing literature, this review was undertaken to analyze the effect of CCDS implementation on medication prescribing and use in pediatrics. MATERIALS AND
methodsA literature search was performed using keywords in PubMed to identify research studies with outcomes related to the implementation of medication-related CCDS functionalities. RESULTS AND DISCUSSION: Various CCDS functionalities have been implemented in pediatric patients leading to different results. Medication dosing calculators have decreased calculation errors. Alert-based CCDS functionalities, such as duplicate therapy and medication allergy checking, may generate excessive alerts. Medication interaction CCDS has been minimally studied in pediatrics. Medication dosing support has decreased adverse drug events, but has also been associated with high override rates. Use of medication order sets have improved guideline adherence. Guideline-based treatment recommendations generated by CCDS functionalities have had variable influence on appropriate medication use, with few studies available demonstrating improved patient outcomes due to CCDS use.
conclusionAlthough certain medication-related CCDS functionalities have shown benefit in medication prescribing for pediatric patients, others have resulted in high override rates and inconsistent or unknown impact on patient care. Further studies analyzing the effect of individual CCDS functionalities on safe and effective prescribing and medication use are required.
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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.