摘要：A case detection algorithm (CDA) originally designed for automated surveillance of acute respiratory infection was enhanced with an automated classifier for chest imaging reports in order to detect cases of pneumonia. This detection method revealed cases of pneumonia treated in the outpatient setting that were misdiagnosed or had a treatment delay. We also report the antibiotics chosen for treatment, both when pneumonia is recognized and missed. A pneumonia CDA can be used in future studies to assess quality of care and outcomes in CAP treated in the outpatient setting.
