Entity Extraction
Diagnoses, symptoms, vitals, medications, procedures, history elements, and assessments extracted with context.
Valiant Lifecare transforms unstructured clinical text into structured, actionable data. Our NLP solutions support risk adjustment, HEDIS, coding, abstraction, registries, and enterprise analytics with audit-grade traceability.
Diagnoses, symptoms, vitals, medications, procedures, history elements, and assessments extracted with context.
Clinical concepts mapped to coding logic and condition groupings to support accurate reimbursement and review.
Outputs structured for HEDIS, STARs, registry, and performance measure abstraction.
Normalize unstructured text and deliver outputs in consistent formats — CSV, JSON, or API endpoints.
Negation detection, temporality, uncertainty handling, and differentiation between patient vs. family history.
Clinician and coder validation layers ensure extraction accuracy meets audit-grade expectations.
NLP interprets clinical language exactly as clinicians write it — notes, assessments, histories, and lab narratives parsed with full contextual awareness including negation, temporality, and hypotheticals.
Extraction pipelines are aligned to operational programs such as HCC capture, HEDIS abstraction, coding support, and quality reporting.
Every NLP result maintains source-text links for defensibility. Whether for audits, appeals, or reconciliation, each extracted item is tied to its origin.
HIPAA-aware processing with encryption in transit (TLS 1.3) and at rest (AES-256), strict access controls, and audit logs.
Outputs delivered as CSV, JSON, FHIR, or API endpoints for seamless integration with analytics platforms, EMRs, and coding systems.
Feedback loops continuously incorporate human validation data to refine extraction models and performance.