What is IBM Watson® Annotator for Clinical Data?

Purpose-built for healthcare and life sciences domains

Annotator for Clinical Data extracts key clinical concepts from natural language text, like conditions, medications, allergies and procedures. Deep contextual insights and values for key clinical attributes develop more meaningful data. Potential data sources include clinical notes, discharge summaries, clinical trial protocols and literature data.

Natural language processing use cases

Patient summarization

a doctor using a tablet

Patient summarization

Complete a 360-degree view of the patient with data from unstructured notes.

Patient engagement

a woman having a meeting on her laptop

Patient engagement

Understand patient intent in natural language interactions and respond meaningfully.

Insurance underwriting

a woman analyzing data

Insurance underwriting

Reduce or eliminate manual review of health data when reviewing applications.

Prior authorization

a health professional speaking on the phone

Prior authorization

Reduce or eliminate the manual review of prior authorization requests.

Social determinants of health

aerial view of a city traffic

Social determinants of health

Identify social and behavioral factors not coded elsewhere in medical systems.


Clinical insights

a microscope

Reveal contextual information to identify the most pertinent problems, procedures and medications identified in text.

Clinical coding

a person analyzing data

Identify, normalize and code clinical concepts with support for SNOMED CT, RxNorm, ICD-10-PCS, CPT, NCI, MESH and LOINC.

Configurable flows

data flow

Select from a suite of annotators to tailor which features and contextual data are returned.

Explore pricing

Built for hybrid and multi-cloud, with options to deploy on premises or in the cloud.