| Literature DB >> 34185914 |
Praneeth Jarugula1, Sarah Scott2, Vijay Ivaturi1,3, Andreas Noack3, Brady S Moffett4, Adnan Bhutta2, Jogarao V S Gobburu1,3.
Abstract
Pharmacometrics could play a key role in shifting pediatric pharmacotherapy from dosing for an average patient to individualizing dosing. Clinicians can have these quantitative tools at their disposal without requiring significant training through the development of clinical decision support systems with easy-to-use interfaces that have a back-end analysis engine or pharmacometric model that uses extensive electronic health record data to predict an individualized dose for each patient. There has been increased development of these clinical decision support systems recently, and for these tools to make the proper breakthrough into clinical practice, it is of utmost importance to perform rigorous testing to ensure adequate predictive performance. In this article, we walk through the components of a decision support tool and the testing required to determine its robustness using an example of a decision support tool we developed for vancomycin dosing in pediatrics.Entities:
Keywords: clinical decision support systems; pharmacometrics; precision dosing
Mesh:
Substances:
Year: 2021 PMID: 34185914 DOI: 10.1002/jcph.1892
Source DB: PubMed Journal: J Clin Pharmacol ISSN: 0091-2700 Impact factor: 3.126