IBM Watson Annotator for Clinical Data is an AI-powered service on IBM Cloud that applies Natural Language Processing (NLP) engines to deliver meaningful insights from unstructured data, purpose-built for healthcare and life sciences domains. Annotator for Clinical Data uses clinical NLP trained models to extract key concepts from natural language text, such as conditions, medications, allergies, and procedures along with their associated medical codes (eg: ICD-10, RxNorm, Snomed, LOINC). These features are enriched with deep contextual insights, along with values for key clinical attributes, in order to provide a more complete view of the data at hand. Potential data sources include a variety of healthcare and life sciences sources, such as clinical notes, discharge summaries, clinical trial protocols, and literature data.
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.
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