Identify clinically relevant phrases from free text, automatically. Named entities include disorders, procedures, medications and findings. NLP solutions can accurately process the context of clinical concepts such as negation. For example, “no family history of heart disease” would be detected as a negated concept.
Deep learning-based approaches normalise free text to clinical ontologies such as SNOMED CT and ICD-10
The processed, coded data that is output can be easily used by other applications to search for information or to generate analytics and reporting.
Advanced uses of Natural Language Processing solutions can be applied to find cohorts of patients where information about them is otherwise hidden in textual information. This benefits population health management, personalised care and life sciences applications