Using machine learning to examine drivers of inappropriate outpatient antibiotic prescribing in acute respiratory illnesses
13 January 2022
Using a machine-learning model, we examined drivers of antibiotic prescribing for antibiotic-inappropriate acute respiratory illnesses in a large US claims data set. Antibiotics were prescribed in 11% of the 42 million visits in our sample. The model identified outpatient setting type, patient age mix, and state as top drivers of prescribing.
Further reading: Infection Control and Hospital Epidemiology
Author(s): Laura M. King et alEffective Surveillance Smart Innovations
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