This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2414) Clinical Information and Decision Making (1407)

Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30577, first published .
A Free Open-Source Bayesian Vancomycin Dosing App for Adults: Design and Evaluation Study

A Free Open-Source Bayesian Vancomycin Dosing App for Adults: Design and Evaluation Study

A Free Open-Source Bayesian Vancomycin Dosing App for Adults: Design and Evaluation Study

Authors of this article:

Thomas Oommen1 Author Orcid Image ;   Anirudh Thommandram2 Author Orcid Image ;   Adam Palanica2 Author Orcid Image ;   Yan Fossat2 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

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  2. Mena M, Garcia J, Bustos R. Implementing Vancomycin Population Pharmacokinetic Models: An App for Individualized Antibiotic Therapy in Critically Ill Patients. Antibiotics 2023;12(2):301 View
  3. Kim D, Choi H, Lee D, Kim M, Kim Y, Han S, Heo Y, Park J, Park J. A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness. JMIR Formative Research 2024;8:e45202 View
  4. Matava C, Bordini M, Jasudavisius A, Santos C, Caldeira-Kulbakas M. Comparing the Effectiveness of a Clinical Decision Support Tool in Reducing Pediatric Opioid Dose Calculation Errors: PediPain App vs. Traditional Calculators – A Simulation-Based Randomised Controlled Study. Journal of Medical Systems 2024;48(1) View