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
Patient summarization
Complete a 360-degree view of the patient with data from unstructured notes.
Patient engagement
Patient engagement
Understand patient intent in natural language interactions and respond meaningfully.
Insurance underwriting
Insurance underwriting
Reduce or eliminate manual review of health data when reviewing applications.
Prior authorization
Prior authorization
Reduce or eliminate the manual review of prior authorization requests.
Social determinants of health
Social determinants of health
Identify social and behavioral factors not coded elsewhere in medical systems.
Features
Clinical insights
Reveal contextual information to identify the most pertinent problems, procedures and medications identified in text.
Clinical coding
Identify, normalize and code clinical concepts with support for SNOMED CT, RxNorm, ICD-10-PCS, CPT, NCI, MESH and LOINC.
Configurable flows
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.
Explore the technology
See how quickly you can achieve business outcomes.