A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis.
An alternative to manual chart review, natural language processing (NLP) can efficiently analyze narrative text to identify adverse events. This systematic review identified 35 studies demonstrating that NLP can be used to classify narrative text according to incident type and harm severity and many NLP models can perform classification with similar outcomes to manual human classification.