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

Ranjeet S BhamberBrian SullivanLéo GormanWinnie W Y LeeMatthew B AvisonAndrew W DowseyPhilip 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