Derivation and external validation of a prediction model for pneumococcal urinary antigen test positivity in patients with community-acquired pneumonia.

Priscilla Kim Michael B Rothberg Amy S Nowacki Pei-Chun YuDavid GugliottiAbhishek Deshpande

Published in: Antimicrobial stewardship & healthcare epidemiology : ASHE (2023)

Readily available data can identify patients most likely to have a positive pUAT. Our model could be incorporated into automated clinical decision support to improve test efficiency and antimicrobial stewardship.

Keyphrases

clinical decision support
community acquired pneumonia
electronic health record
end stage renal disease
ejection fraction
newly diagnosed
machine learning
prognostic factors
high throughput
big data
patient reported outcomes
artificial intelligence