Development and evaluation of an interoperable natural language processing system for identifying pneumonia across clinical settings of care and institutions.

NLP can be used to accurately identify the diagnosis of pneumonia across different clinical settings and institutions. A limited amount of customization to account for differences in lexicon, clinical definition of pneumonia, and EHR structure can achieve high accuracy without substantial modification.