Decision Intelligence
Technology OverviewHow It WorksCNLP APIIntelligent Document Processor (IDP)IntelliSync
Use Cases: payors
Prior AuthorizationUM & Clinical ReviewPayment Integrity
Use Cases: Providers
Risk Adjustment & RCMPopulation Health
Who We Serve
Health Plans & PayorsProviders & Health SystemsACOs & Value-Based CarePharma & Life Sciences
Company
About UsNews & RecognitionContactRequest a Demo →
Hindsait CNLP credentials:12+ Years Healthcare-Specific Training100M+ Records ProcessedHITRUST CSF Certified · HIPAA + SOC 2Twelve years of healthcare-specific training.
CNLP API · Foundation Layer
The Clinical NLP Engine Healthcare Has Been Waiting For.
Upload medical records. Receive structured, machine-readable clinical data. Hindsait's CNLP API extracts ICD-10/CPT codes, SNOMED terminology, medications, labs, diagnoses, and 50+ clinical entity types, from any unstructured document, in seconds.
Not a general NLP model adapted for healthcare. Twelve years of healthcare-specific training. 12+ years of rigorous training on healthcare-specific datasets, built specifically for the complexity, nuance, and stakes of clinical language. The hardest asset in healthcare AI. Competitors cannot compress 12 years.
Request API Access →Technology Overview
What the CNLP API Extracts
Send a record. Get structured clinical intelligence back.
Any accredited healthcare organization can securely submit medical records via API and receive a structured, machine-readable data feed, annotated, normalized, and ready for downstream integration.
Diagnoses & Codes
ICD-10 / CPT codes
SNOMED terminology codes
Clinical concept extraction
HCC risk adjustment codes
Medications & Labs
Medications, dosages, RxNorm
Lab values & vital signs
Prescription patterns
Allergy & contraindication flags
Procedures & Clinical
Imaging & lab report tags
Surgical notes & procedures
Screening & patient demographics
50+ clinical entity types total
Why CNLP API, Not Something Else
The moat that 12 years builds.
General-purpose NLP models can extract keywords. Hindsait's CNLP understands negation ("no evidence of pneumonia"), temporal context ("previously treated for"), clinical relationships ("secondary to"), and the semantic difference between a listed medication and an active prescription. That distinction matters in every clinical decision.
Healthcare-Specific Depth
Trained exclusively on clinical data, physician notes, discharge summaries, lab reports, operative notes, faxed records, not adapted from general text. Every model decision reflects healthcare context.
Clinical Context Intelligence
Handles negation, uncertainty, co-reference, and temporal reasoning, the linguistic complexities that cause general NLP to produce false positives in clinical review.
Compounding Data Moat
100M+ records processed since 2013. Every customer and every record improves the model. No competitor can replicate that training history, regardless of funding.
Integration-First Design
Real-time API with <200ms response. HL7 FHIR-compliant outputs. Connects directly to UM, PA, claims, EHR, and BI systems. Built to complement, not replace existing systems. Deployed in 6 to 8 weeks.
Frequently Asked Questions
CNLP API , Common Questions.
What document types does the CNLP API support? +
The CNLP API processes any clinical document type: physician notes, discharge summaries, operative reports, radiology and lab reports, pathology reports, faxed records, scanned handwritten notes, HL7 FHIR documents, and structured EMR exports. It supports PDF, image (TIFF, JPEG, PNG), plain text, HL7, and CCD/CCDA formats.
How is this different from using GPT or a general large language model? +
General LLMs are trained on broad internet text and adapted for healthcare as an afterthought. Hindsait's CNLP was trained exclusively on clinical documentation from 2013, physician notes, operative records, lab reports. It understands clinical negation ("no evidence of"), temporal context ("history of"), uncertainty markers, and co-reference resolution specific to medical language. General LLMs produce false positives in clinical settings that make them unsuitable for production decisions. Hindsait's CNLP is purpose-built for clinical evidence extraction and audit-ready prior authorization workflows, not generic text generation.
How long does the API take to process a document? +
Standard clinical documents (1–30 pages) are processed in under 30 seconds, with API response times under 200ms for structured output delivery. Large chart packages (100+ pages) are processed in batch mode with real time status updates. The system scales horizontally to support population-level processing of thousands of records simultaneously.
What security and compliance certifications does the API carry? +
The CNLP API is HITRUST CSF Certified, HIPAA compliant, and SOC 2 audited. All data is processed on HIPAA-compliant Google Cloud Platform infrastructure with end-to-end encryption in transit and at rest. BAA agreements are available for all healthcare customers. The API supports production prior authorization workflows at WPS Health, a leading Medicare Administrative Contractor.
How does the CNLP API integrate with existing systems? +
The API is HL7 FHIR-compliant and delivers structured JSON output that connects directly to claims systems, UM/PA platforms, EHRs, audit systems, and BI dashboards. Integration is built to complement, not replace existing systems Most customers are live within 6 to 8 weeks. RESTful API with complete documentation and sandbox access available upon request.
Who can access the CNLP API? +
The CNLP API is available to accredited healthcare organizations, health plans, Medicare Advantage plans, Medicaid MCOs, hospital systems, ACOs, physician groups, TPAs, health IT vendors, and pharmaceutical companies. Access requires a completed data use agreement and BAA. Contact info@hindsait.com or submit the demo request form to begin the access process.
Ready to access the CNLP API?
12+ years of healthcare-specific NLP. 100M+ records processed. Built for production prior authorization workflows. 6 to 8 week deployment.
Request API Access →Technology Overview
This Is What Healthcare AI Should Look Like.
Production-deployed with WPS Health. Audit-ready by design. Proven to reduce prior authorization review time by 53%. Hindsait turns clinical records into decision-ready intelligence for prior authorization, clinical review, and payment integrity.
Gartner® recognized, built on 12 years of healthcare-specific clinical NLP, and shaped by 100M+ medical records processed across real clinical workflows.
Request a Demo →See How It Works
53%Prior Auth (PA) EfficiencyDocumented across real PA deployments
100M+Medical Records ProcessedSince 2013, across real clinical workflows
12 yrsHealthcare-Specific AI R&DCNLP trained on clinical data since 2013
3×Faster PA DecisionsTurnaround time across deployed health plans
6–8 wksWeeks to Live DeploymentBuilt to complement, not replace existing systems
PALIVE
Live in ProductionProduction-deployed prior authorization (PA) workflows with audit-ready clinical oversight
Gartner®
2026 Representative VendorGartner Market Guide for Intelligent Prior Authorization, inaugural edition
HITRUST CSFCertified InfrastructureHIPAA + SOC 2 · Enterprise-grade PHI protection at every layer
WPS Health SolutionsLive Production ClientMedicare Administrative Contractor · Jurisdictions 5 & 8
Florida BlueStrategic InvestorGuideWell · One of the largest Blues Plans in the country
Why Hindsait Is Different
Clinical AI that has earned its place in production.
Production deployment in prior authorization requires evidence, controls, and auditability—not marketing claims. Automated evidence matching for clinically clear cases.
With Florida Blue among our strategic backers and twelve years of healthcare-specific CNLP training, Hindsait brings accumulated clinical intelligence built through years of real clinical data, deployment, and refinement.
01
Proven at production scale
100M+ records processed. Live in production at WPS Health, a Medicare Administrative Contractor, processing real PA workflows. Already operating in live authorization workflows.
02
Human-in-the-loop where it matters
Automated evidence matching for clinically clear cases. Clinician review for complex determinations. Live in 6–8 weeks, built to complement, not replace your existing UM, PA, EHR, or claims systems.
03
53% PA efficiency. Verified.
A documented outcome across real deployments, not a modeled projection. Measured across prior authorization and clinical audit workflows, the Hindsait platform delivered 30% time savings.
04
Flexible Deployment. Your Environment, Your Terms.
Deploy on-premises or on cloud — GCP, AWS, or Azure — based on your data governance and security requirements. Same platform, same clinical intelligence, same audit trail. No vendor lock-in. No forced migration.
Production Deployment · Prior Authorization
53%
Efficiency improvement across prior authorization and clinical review workflows
Live in production at WPS Health, a Medicare Administrative Contractor for Jurisdictions 5 & 8. Automated evidence matching where clinical criteria are conclusively met. Clinicians in the loop for complex determinations.
"
Having the Hindsait team deeply integrated with our operational SME's, we were not only able to cut our medical review time by over 50%, we also developed new and novel additional uses and custom capabilities with the Hindsait platform to add greater value to our organization, staff, and customers.
BJ
Brian Janssen
Chief Information Officer, WPS Health Solutions
Download the White Paper →
How Hindsait Works
Clinical intelligence, built in layers.
Every Hindsait decision starts with the same foundation, structured clinical intelligence extracted from the documents you already have. One base layer. Every use case above it.
Use Case Layer, Powered by IDP Clinical Intelligence
Prior Authorization
PA decision support. Criteria-matched. Audit-ready. Human-in-the-loop for complex cases.
Production Deployed3× Faster
UM & Clinical Review
MCG, InterQual, LCD/NCD criteria applied consistently across every concurrent and retrospective review.
Guideline-Aligned30% Time Savings
Payment Integrity
Claims anomaly detection, post-payment clinical review, FWA pattern analysis across your full population.
FWA DetectionPopulation Scale
Risk Adjustment & HCC
HCC coding gap identification, RAF score optimization, and RADV-ready audit trail for ACOs and health plans.
RAF OptimizedRADV-Ready
Revenue Cycle & Coding
Automated ICD-10 to HCC crosswalk, AI-assisted coding with human review, and provider prior authorization.
HCC CrosswalkAudit-Proof
Population Health & More
HEDIS, Stars, SDOH analytics, quality oversight, ACO performance, pharma market access, and RWE.
HEDIS / StarsQuality & Pharma
Structured clinical intelligence feeds every use case above
Foundation Layer
Hindsait IDP
Intelligent Document Processor
One foundation layer, every use case above it. IntelliSync, our automated policy intellgence layer, continuously monitors CMS, payor policies, and clinical guidelines, so every decision the pipeline produces is always aligned to current criteria, without manual updates.
Explore IDP →
Ingest
Any source
any format
Clinical NLP
Context-aware
understanding
Extract & Summarize
Key facts
GenAI summary
Score & Route
Evidence strength
smart routing
Deliver
Real-time API
audit trail
95%
Extraction
Accuracy
<30s
Per
Document
50+
Clinical
Entity Types
Who We Serve
Built for every side of the clinical decision
One platform. Three distinct solution sets, each designed for the workflows, pain points, and buyers that define that segment of healthcare.
Payor Solutions
Health Plans & Payors
Automate PA, UM, clinical audit, and payment integrity while meeting CMS-0057-F mandates and HEDIS benchmarks, without adding headcount.
- CMS-0057-F compliant PA automation
- MCG, InterQual, LCD/NCD decision trees
- Payment integrity & FWA detection
- HEDIS & Stars gap analytics
Explore Payor Solutions →
Pharma Solutions
Pharma & Life Sciences
Accelerate specialty drug access, decode payor policies , and extract real-world clinical evidence to power market access strategy.
- Specialty drug PA automation
- payor policy monitoring, 100s of plans
- Real-world evidence extraction
- HEOR & outcomes analytics
Explore Pharma Solutions →
Provider Solutions
Providers & Health Systems
Reduce claim denials, cut documentation burden by 40%, and optimize ACO and value-based care performance from one clinical intelligence layer.
- AI documentation, 40% burden reduction
- Denial risk scoring pre-submission
- MIPS, Stars, HEDIS gap analytics
- Predictive readmission alerts
Explore Provider Solutions →
Results & Recognition
Trusted by healthcare's most demanding organizations
Magellan Health](https://www.magellanhealth.com/) WPS Health Solutions](https://www.wpshealth.com/) NY Blood Center](https://www.nybc.org/) GuideWell Innovation](https://guidewellinnovation.com/) Hackensack UMC](https://hackensackmeridianhealth.org/en/locations/hackensack-university-medical-center)
"
Hindsait's technology and creative approach have opened new doors in how we use data to manage our business.
Tina Blasi
CEO, NIA / Magellan
"
Hindsait’s proven AI technology and differentiated platform, coupled with its seasoned executive team, set it apart.
Ateet Adhikari
Vice President, Healthbox
"
We worked with Hindsait to fine-tune predictive analytics that would enhance our efficiency without compromising quality.
Laurel Douty
COO, Magellan Healthcare
"
Hindsait's ability to identify meaningful clinical insights creates a better pathway for care delivery across our entire network.
Renee Finley
Head of Innovation, GuideWell
"
Having the Hindsait team deeply integrated with our operational SME's, we were not only able to cut our medical review time by over 50%, we also developed new and novel additional uses and custom capabilities with the Hindsait platform to add greater value to our organization, staff, and customers.
Brian Janssen
Chief Information Officer, WPS Health Solutions
Gartner 2026 Market Guide](https://www.gartner.com/en/documents/7430962) Forbes Healthcare AI Recognition](https://www.forbes.com/councils/forbesbusinesscouncil/2023/11/28/how-ai-is-transforming-healthcare-risk-adjustment/) Gartner Cool Vendor 2017](http://www.prnewswire.com/news-releases/hindsait-inc-named-a-cool-vendor-in-ai-in-healthcare-by-gartner-300465248.html) HITRUST CSF Certified](https://www.newswire.com/news/hindsait-achieves-hitrust-csf-certification-to-manage-risk-improve-21141491) Frost & Sullivan Best Practices Award](http://www.prnewswire.com/news-releases/frost--sullivan-applauds-hindsait-for-pioneering-healthcare-centric-artificial-intelligence-systems-300280393.html)
Proven Outcomes
Efficiency without compromising quality
Every metric to the right comes from a real Hindsait client deployment, not modeled projections. Healthcare Decision Intelligence delivers measurable ROI within the first quarter of deployment.
Built for the buyer who counts cost per review. Hindsait clients report measurable FTE reallocation, faster turnaround, and reduced rework, translating directly to lower administrative cost per clinical decision.
3×
Faster PA Processing
Turnaround time across deployed health plans
+30%
Medical Review Efficiency
WPS Health Solutions deployment
35%
Unnecessary Cost Reduction
Evidence-based AI applied to utilization review
53%
Prior Auth (PA) Efficiency
Documented across real PA deployments
+24%
First-Pass PA Approval Rate
payor-aligned submissions, first time
98%
Decision Consistency
Uniform determinations across every reviewer
News & Recognition