Use advanced natural language processing (NLP) to analyze text to extract, normalize, and code medical concepts such as diseases, lab values, medications, procedures, and more. Define annotator customizations to identify medical concepts specific to your unique documents or domain with Watson ACD.
The clinical insights feature is a ready-to-use annotation capability within Watson Annotator for Clinical Data that provides critical contextual information for problems, procedures, and medications identified in the text.
Identify and code clinical concepts with support for SNOMED CT, RxNorm, ICD-10-PCS, CPT, NCI, MESH, and LOINC.
The medical domain NLP service features a variety of annotators for detecting metadata (such as entities, concepts, concept values, negated spans, hypothetical spans) and a collection of annotators that detect, normalize, and code medical and social findings from unstructured clinical data. Multiple annotators can be employed to analyze unstructured data from a single request.