Vancomycin is one of the most commonly used antibiotics in hospitals today. Dosing and monitoring of vancomycin can be complex, requiring clinicians to take many considerations into account including patient demographic data and laboratory results to individualize dosing for each patient. More importantly, in 2020, vancomycin therapeutic guidelines recommended moving away from monitoring vancomycin trough levels to targeting area under the curve (AUC), with preference given to utilizing a Bayesian software program to monitor the AUC.
Studies have shown that using Bayesian dosing to calculate a precise dose results in significant improvements in mortality, medication safety, patient outcomes, and cost savings. Because of this, now more than ever, pharmacy teams are looking to leverage tools to support implementing Bayesian dosing and automate workflow, to ensure every patient receives the right dose for optimal outcomes.
In this webinar, we:
- Discuss the complexity of AUC dosing workflows and the benefits of Bayesian dosing for vancomycin
- Explore how pharmacy teams are adopting Bayesian dosing tools to streamline workflows, allow automated access to faster, more precise calculations, and proactively monitor therapy to reduce a patient’s risk of acute kidney injury (AKI).
- Discover best practices for standardizing care with a data-driven approach to dose optimization and keeping prescribing in line with your hospital’s antimicrobial stewardship goals and the CDC’s Core Elements.
- Demonstrate how with a single click, pharmacists can automatically calculate patient-specific vancomycin dose recommendations to achieve a target AUC using key clinical data such as patient demographics, laboratory values, and previous vancomycin doses given.
