Azra AI Cancer Registry Automation
Automate Cancer Registry Management for Compliance and Continuity.
Overview
Azra AI's Cancer Registry Automation module uses AI and machine learning to analyze pathology reports, identify positive cancer diagnoses, and automate the abstraction of vital data. The system filters out non-cancerous reports and presents positive cases in a prioritized queue, pre-populating fields in NAACCR format for efficient submission.
✨ Key Features
- AI-powered casefinding from pathology reports
- Automated data abstraction
- Pre-population of fields in NAACCR format
- Prioritized work queue for positive cases ('Care Queue')
- Automated workflows to reduce human error
- Integration with existing systems
🎯 Key Differentiators
- End-to-end workflow from report ingestion to a prioritized queue
- Focus on creating a seamless, automated submission process
- Intuitive user interface designed for registrar teams
Unique Value: Streamlines the entire cancer registry workflow by using AI to eliminate manual casefinding and data abstraction, allowing teams to maintain compliance and focus on higher-value tasks.
🎯 Use Cases (4)
✅ Best For
- Ingesting and analyzing all pathology reports to identify reportable cancer diagnoses
- Automatically abstracting data and populating required fields for state submission
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations seeking a complete, all-in-one tumor registry database system
- Registries that do not primarily rely on pathology reports for casefinding
🏆 Alternatives
Provides a more complete, end-to-end automated workflow compared to tools that only focus on casefinding, by including a prioritized work queue and pre-populated reporting fields.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
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