A novel risk-adjusted metric to compare hospitals on their antibiotic-prescribing at hospital discharge.

Daniel J LivorsiJames A MerchantHyunkeun ChoMatthew Bidwell GoetzBruce AlexanderBrice BeckMichihiko Goto

Published in: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America (2024)

A model using electronically-available data was able to predict antibiotic use prescribed at hospital discharge and showed that some hospitals were more successful in reducing antibiotic overuse at this transition of care. This metric may help hospitals identify opportunities for improved antibiotic stewardship at discharge.

Keyphrases

healthcare
primary care
electronic health record
machine learning
adverse drug