EXTRACTING INSIGHTS FROM DATA

Natural Language Processing

Not all data is immediately actionable. Some documentation is in paper-form or scanned. Other information is unstructured like free-form doctor’s notes or incident write-ups.

 

Foundation AI’s Extract takes scanned documents, automatically classifies them, and extracts key pieces of information. It not only saves your staff time when managing physical documents, but it also enables you to take full advantage of all the data contained with these records. Read more about Foundation Extract here.

Foundation AI’s Natural Language Processing models comb through unstructured documents to extract meaningful insights. Whether it’s extracting diagnoses from clinical free text or classifying incidents based on officer write-ups, our NLP models take blocks of unstructured text and transform them into actionable data. 

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