Healthcare NLP for Clinical and Operational Accuracy

Valiant Lifecare transforms unstructured clinical text into structured, actionable data. Our NLP solutions support risk adjustment, HEDIS, coding, abstraction, registries, and enterprise analytics with clinical precision.

Clinical Understanding at Scale

Our NLP interprets clinical language exactly as clinicians write it. Notes, assessments, histories, and lab narratives are parsed with full contextual awareness — including negation, temporality, and symptom relationships — enabling reliable clinical extraction.

Purpose‑Driven Extraction

Extraction pipelines are aligned to operational programs such as HCC capture, HEDIS abstraction, coding support, and quality reporting. This ensures outputs are not generic text summaries but structured data tailored to real healthcare workflows.

Audit‑Ready Traceability

Every result produced by our NLP maintains source‑text links for defensibility. Whether for audits, appeals, or reconciliation, organizations gain confidence knowing each extracted item is tied to its exact clinical origin.

Core Capabilities

Our core NLP capabilities convert messy clinical language into accurate, structured data that plugs directly into operational workflows. The blocks below describe the technical and clinical features we deliver — from precise entity extraction to measure‑ready outputs and human‑verified quality control.

Clinical Entity Extraction

Diagnoses, symptoms, vitals, medications, procedures, history elements, and assessments extracted with context.

HCC & Coding Alignment

Clinical concepts mapped to coding logic and condition groupings to support accurate reimbursement and review.

Measure‑Ready Abstraction

Outputs structured for HEDIS, STARs, registry, and performance measure abstraction.

Structured Data Pipelines

Normalize unstructured text and deliver outputs in consistent formats — CSV, JSON, or API endpoints.

Context Recognition

Negation detection, temporality, uncertainty handling, and differentiation between patient vs. family history.

Human‑Verified QA

Clinician and coder validation layers ensure extraction accuracy meets audit‑grade expectations.

How Our NLP Workflow Operates

Our implementation follows a secure, repeatable pipeline that integrates with existing clinical and analytic systems. We focus on minimizing manual work, preserving clinical context, and delivering outputs that are immediately useful for downstream teams such as coding, quality, and analytics.

Ingest
Process EMR documents, scanned files, and provider notes securely.
Normalization
Clean text, standardize formatting, and prepare content for extraction.
Extraction
Identify clinical conditions, relationships, dates, and measure‑aligned data points.
Validation
Human experts verify and adjust outputs for accuracy and compliance.
Delivery
Structured outputs delivered into analytics, quality, coding, or risk workflows.
Continuous Improvement
Feedback loops refine extraction accuracy and domain adaptation.

See How NLP Can
Transform Your Operations

Request a focused assessment and sample extraction for a clinical area you care about. We’ll provide a short report showing expected capture, turnaround times, and integration options.

FAQ

Frequently Asked Question

Answers to common questions about our clinical NLP solutions

How accurate is the extraction compared to manual review?

Our extraction accuracy typically ranges from 92-96% for common clinical entities, varying by document quality and medical specialty. We combine automated extraction with clinician review workflows to achieve audit-grade results for target use cases. For HCC capture, we’ve demonstrated 94% precision and 89% recall compared to gold-standard manual review.

All data is handled in secure, HIPAA-compliant environments with encryption both in transit (TLS 1.3) and at rest (AES-256). We implement strict access controls, role-based permissions, and comprehensive audit trails. PHI is only processed in designated secure environments, and we offer options for on-premises deployment or private cloud instances based on your security requirements.

Yes, we deliver outputs in standard formats (CSV, JSON, FHIR) and provide API endpoints for seamless integration with analytics platforms, data lakes, EMRs, and coding systems. Our team works closely with your IT department to ensure smooth integration with existing workflows, whether you need batch processing, real-time APIs, or customized data delivery pipelines.

We process a wide range of clinical documentation including progress notes, consultation reports, discharge summaries, radiology and pathology reports, operative notes, and clinical communications. Our system handles both structured and unstructured text from various EMR systems, scanned documents (OCR), and PDF formats. We continuously expand our document type coverage based on client needs.

Standard implementations typically take 4-8 weeks, depending on integration complexity and data volume. This includes environment setup, pipeline configuration, initial model tuning, and validation. For more complex integrations or specialized use cases, we provide detailed implementation timelines during the planning phase. We offer phased rollout options to minimize disruption to your operations.

Yes, we provide comprehensive ongoing support including 24/7 monitoring, regular model updates, and performance optimization. Our feedback loop continuously incorporates human validation data to refine models, and we offer regular performance reporting. Clients also receive access to our clinical and technical support teams for questions, customizations, and best practice guidance.

Our NLP models are specifically trained to understand clinical context, including negation (e.g., “no signs of”), temporality (historical vs. current conditions), family history, and hypotheticals. We use contextual embeddings and relationship extraction to distinguish between patient conditions, family history, and ruled-out diagnoses, ensuring accurate representation of the clinical picture.

We offer flexible pricing models based on your specific needs, including per-document pricing, subscription models for high-volume clients, and enterprise agreements for comprehensive solutions. Pricing typically factors in document volume, complexity, required turnaround time, and level of human review. We provide transparent pricing with no hidden fees and can customize packages based on your use cases and budget.

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