An Algorithm to Assess Guideline Concordance of Antibiotic Choice in Community-Acquired Pneumonia.

ABSTRACT:

Background and objective

This study aimed to develop and evaluate an algorithm to reduce the chart review burden of improvement efforts by automatically labeling antibiotic selection as either guideline-concordant or -discordant based on electronic health record data for patients with community-acquired pneumonia (CAP).

Methods

We developed a 3-part algorithm using structured and unstructured data to assess adherence to an institutional CAP clinical practice guideline. The algorithm was applied to retrospective data for patients seen with CAP from 2017 to 2019 at a tertiary children's hospital. Performance metrics included positive predictive value (precision), sensitivity (recall), and F1 score (harmonized mean), with macro-weighted averages. Two physician reviewers indepen

SUBMITTER: Yarahuan JKW 

PROVIDER: S-EPMC10823186 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature