Cancer Registry Case Finding as a Service: Backlog Solved
Manual case finding strains registry teams, delays reporting timelines, and introduces compliance risk.
Azra delivers AI-powered and human-validated case finding that reduces backlog, improves timeliness, and aligns with NAACCR submission standards.
The Burden on Registry Teams
Cancer registry teams are responsible for identifying, abstracting, and reporting every reportable case. In multi-facility health systems, volume overwhelms capacity. Manual case finding delays submissions, strains experienced abstractors, and creates compliance exposure.
Registry teams deserve infrastructure that matches their accountability.
AI-Powered Case Identification
Azra's clinically trained AI models surface newly diagnosed patients by disease site in real time, directly from pathology reports and clinical documentation within the EHR. Cases are classified, prioritized, and routed into structured registry queues.
- Automated case finding across all reportable disease sites
- Real-time surfacing of newly diagnosed patients
- Structured abstraction field population
- Prioritized case queues by urgency and submission timeline
Case identification moves from manual chart review to structured, AI-driven automation.
Human-in-the-Loop Validation
Every AI-surfaced case passes through human validation. Registry professionals review flagged cases, confirm accuracy, and provide structured feedback that continuously improves model performance. This is not a fully automated black box. It is a collaborative system designed to augment experienced abstractors.
AI handles volume. Registry professionals ensure quality. Both improve over time.
Operational Efficiency and Capacity Relief
Automated case finding enables registry teams to redirect their expertise from manual detection to complex abstraction and quality review.
- Reduction in manual screening workload
- Faster turnaround on case identification
- Consistent submission timelines aligned to NAACCR standards
- Better utilization of trained abstractors on high-value work
- Measurable operational efficiency gains
Registry professionals focus on quality and complex review, not manual detection.
Quality and Accreditation Reporting
Azra supports registry compliance with structured timeliness monitoring, submission tracking, and quality benchmarking. Leadership gains visibility into case identification timeliness, abstraction backlog volume, submission compliance metrics, cross-facility variation, and capacity forecasting.
Registry operations become measurable enterprise assets with defined accountability.
Integrated Within Closed-Loop Infrastructure
Cancer registry case finding operates within Azra's broader closed-loop patient management platform. Registry workflows align with navigation, tumor board coordination, and clinical operations, ensuring data integrity and eliminating duplicate work across teams.
Registry, navigation, and clinical coordination operate within the same enterprise infrastructure.
Ready to Transform Patient Management Across Your Health System?
See how Azra AI delivers structured, closed-loop workflows that ensure care moves from documentation to completed action across your enterprise.