A Bayesian Model Based on Local Phenotypic Resistance Data to Inform Empiric Antibiotic Escalation Decisions.

Ranjeet S Bhamber Brian Sullivan Léo Gorman Winnie W Y Lee Matthew B Avison Andrew W Dowsey Philip B Williams

Published in: Infectious diseases and therapy (2024)

EA analysis informed by our Bayesian model is a useful tool to support empiric antibiotic switches, providing an estimate of local resistance rates, and a comparison of antibiotic options with a measure of the uncertainty in the data. We demonstrate that EAs calculated for the whole hospital population cannot be assumed to apply to specific patient group.

Keyphrases

electronic health record
big data
healthcare
case report
urinary tract infection
emergency department
clinical trial
data analysis
open label
adverse drug
artificial intelligence