ArticleFrontiers in pharmacology2020
Model-Informed Precision Dosing of Vancomycin in Hospitalized Children: Implementation and Adoption at an Academic Children's Hospital.
Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 7 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
45 citing papers in PubMed, 7 syntheses or guidelines pooled it, 74 citations in OpenAlex.
- Model-Informed Precision Dosing in Pediatric Patients: Current Software Tools and Bedside Guided Application.Paediatric drugs · 2026Pooled it
- Supporting clinical reasoning through visual summarization and presentation of patient data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2025Pooled it
- Pediatric Predictive Artificial Intelligence Implemented in Clinical Practice from 2010 to 2021: A Systematic Review.Applied clinical informatics · 2025Pooled it
- Barriers and Facilitators for Bringing Model-Informed Precision Dosing to the Patient's Bedside: A Systematic Review.Clinical pharmacology and therapeutics · 2025Pooled it
- Health Care Professionals' Experience of Using AI: Systematic Review With Narrative Synthesis.Journal of medical Internet research · 2024Pooled it
- Dose optimization of β-lactams antibiotics in pediatrics and adults: A systematic review.Frontiers in pharmacology · 2022Pooled it
- Population Pharmacokinetic Models of Vancomycin in Paediatric Patients: A Systematic Review.Clinical pharmacokinetics · 2021Pooled it
- A prospective feasibility study evaluating the implementation of model-informed precision dosing in critically ill children.Frontiers in pharmacology · 2026Trial
- Population Pharmacokinetics of Amikacin in Non-Neonatal Pediatric Patients: A Scoping Review.European journal of drug metabolism and pharmacokinetics · 2026Article
- A qualitative process evaluation of a clinical trial on bedside model-informed precision dosing of vancomycin in critically ill children.International journal of clinical pharmacy · 2026Article
- Evaluating Bayesian Vancomycin Dosage Adjustment in Neonates: A Simulation-Based Virtual TDM Study.Clinical pharmacokinetics · 2026Article
- When Science Outpaces Infrastructure: People, Process, and Technology Challenges for Precision Dosing in Children.Clinical and translational science · 2026Article
- Clinical Use of Bayesian Model-Informed Precision Dosing in Routine Practice: A Focused Systematic Review.Journal of clinical medicine · 2026Review
- State of Vancomycin Dosing in Neonates: An Overview.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026Article
- Pharmacokinetics and Customized Dosing of Vancomycin in Adult Patients With Hematological Malignancies: Status, Challenges, and Opportunities.Pharmacology research & perspectives · 2026Review
- Model-Informed Precision Dosing: Conceptual Framework for Therapeutic Drug Monitoring Integrating Machine Learning and Artificial Intelligence Within Population Health Informatics.Journal of personalized medicine · 2026Review
- Hitting the Target: Model-Informed Precision Dosing of Tobramycin in Pediatric Patients with Cystic Fibrosis.Pharmaceuticals (Basel, Switzerland) · 2026Article
- A systematic review of clinicians' acceptance and use of clinical decision support systems over time.NPJ digital medicine · 2025Article
- Review of Precision Medicine and Diagnosis of Neonatal Illness.Diagnostics (Basel, Switzerland) · 2025Review
- Model-informed precision dosing of vancomycin in clinical practice: an intervention development study.International journal of clinical pharmacy · 2025Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundModel-informed precision dosing (MIPD) can serve as a powerful tool during therapeutic drug monitoring (TDM) to help individualize dosing in populations with large pharmacokinetic variation. Yet, adoption of MIPD in the clinical setting has been limited. Overcoming technologic hurdles that allow access to MIPD at the point-of-care and placing it in the hands of clinical specialists focused on medication dosing may encourage adoption.
objectiveTo describe the hospital implementation and usage of a MIPD clinical decision support (CDS) tool for vancomycin in a pediatric population.
methodsWithin an academic children's hospital, MIPD for vancomycin was implemented
resultsAfter a successful pilot phase in the neonatal intensive care unit, implementation of MIPD was expanded to the pediatric intensive care unit, followed by availability to the entire hospital. During the first 2+ years since implementation, a total of 853 patient-courses (n = 96 neonates, n = 757 children) and 2,148 TDM levels were evaluated using the CDS tool. For the most recent 6 months, the CDS tool was utilized to support 79% (181/230) of patient-courses in which TDM was performed. Of 26 users surveyed, > 96% agreed or strongly agreed that automatic transmission of patient data to the tool was a feature that helped them complete tasks more efficiently; 81% agreed or strongly agreed that they were satisfied with the CDS tool.
conclusionsIntegration of a vancomycin CDS tool within the EHR, along with leveraging the expertise of clinical pharmacists, allowed for successful adoption of MIPD in clinical care.
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Registered trials
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.