Automating chart review for identification of infected patients using natural language processing
The results highlight the value of unstructured text data for developing models that accurately replicate chart reviews in identifying patients with infection and facilitate epidemiological research and the curation of datasets necessary for developing clinical decision support systems for early sepsis detection.