Onvera Health

AI-powered cancer registry platform for oncology centers and multi-site cancer networks.

Onvera Health

Onvera Health is an AI-powered cancer registry platform developed by Quantumz to help oncology centers and multi-site cancer networks transform clinical documents into reportable registry cases. The platform orchestrates the full registry lifecycle—from EHR document ingest, OCR, de-identification, and AI casefinding through NAACCR abstraction, CTR workbench review, validation, and state or federal submission—while supporting patient follow-up, compliance reporting, and CoC accreditation workflows under a secure multi-tenant architecture.

Cancer Registry & Oncology Informatics

Services

AI, Custom Software & Digital Health

Compliance & Security

HIPAA-Eligible · AES-256 · TLS 1.3

Deployment

Multi-Tenant SaaS on AWS

AI Document Ingest and Casefinding Pipeline

AI Document Ingest & Casefinding

Onvera automatically pulls pathology, radiology, and clinical documents from connected EMR, lab, and imaging systems. Each document passes through OCR, de-identification, and AI classification before casefinding models evaluate reportability against NAACCR and state registry rules. Suspect cases surface to registry staff with source-document context, reducing manual chart review and accelerating time-to-reportable-case across high-volume oncology networks.

CTR Workbench & NAACCR Abstraction

Onvera workbench gives Certified Tumor Registrars a structured review environment where AI-pre-populated NAACCR fields, sequence numbers, and registry edits are validated before sign-off. CTRs can reconcile abstraction gaps, manage validation edits, route cases through follow-up, and prepare VCR, NCCR, and federal submissions from a single practice-scoped workspace—with role-based PHI controls and full audit trails for every action.

AI-Powered Casefinding

Machine learning models evaluate incoming clinical documents for reportability, surfacing suspect cases with source context and confidence signals.

NAACCR Abstraction Engine

AI-assisted extraction and coding of NAACCR data items, sequence assignment, and registry-specific edit preparation for CTR review.

CTR Workbench

Role-gated review workspace for abstraction sign-off, validation edits, follow-up tracking, and submission readiness.

Multi-Tenant Practice Management

Organization, network, and mother/child practice hierarchy with per-site registry pathways, deadlines, and CoC accreditation settings.

Registry Submissions

End-to-end submission workflows for state registries (VCR, NCCR) and federal reporting with validation and resubmission support.

Enterprise Identity & Security

SAML SSO, SCIM provisioning, MFA, PHI reveal controls, and immutable audit logging on HIPAA-eligible cloud infrastructure.

The Result of Project

Onvera Health delivers a modern cancer registry operating system that reduces manual abstraction burden, improves case completeness, and keeps multi-site oncology networks compliant with state and federal reporting deadlines. By combining AI document intelligence with a CTR-centric workbench, the platform accelerates the path from clinical ingest to registry submission.

With multi-tenant practice management, EHR integration readiness, SAML/SCIM enterprise auth, and HIPAA-eligible security controls, Onvera empowers cancer centers to scale registry operations across locations while maintaining audit-ready quality and accreditation standards.

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