Computerized Text Analysis to Enhance Automated Pneumonia Detection

Information about disease severity could help with both detection and situational awareness during outbreaks of acute respiratory infections (ARI). In this work, we use data from the EMR to identify patients with pneumonia, a key landmark of ARI severity. We asked if computerized analysis of the free-text of clinical notes or imaging reports could complement structured EMR data to uncover pneumonia cases.

Objective

To improve the surveillance for pneumonia using the free-text of electronic medical records (EMR).