Harnessing Advanced AI Methods for Registry Abstraction
National Cancer Registrars Association
📌About the Event
Harnessing Advanced AI Methods for Registry Abstraction: ODS in the Driver’s Seat is a live NCRA webinar focused on how agentic AI can support cancer registry workflows. The session explains how AI reads unstructured clinical documents, reasons across multiple sources, generates traceable outputs with citations, and integrates into abstraction processes while keeping human review, transparency, and auditability at the center.
ℹ️ Event Details
- Format: Live webinar
- Mode of conduct: Online
- Focus area: AI in cancer registry workflows, registry abstraction, clinical data abstraction, agentic AI, healthcare informatics
- Key learning areas:
- How agentic AI differs from traditional automation and NLP
- How AI performs multi-document reasoning for registry abstraction
- Trust and safety mechanisms such as citations, transparency, human-in-the-loop review, and auditability
- Use cases in casefinding, abstraction, cross-document reasoning, and quality control
- Instructors:
- David Lindsay, MD, PhD
- Kevin Yee
📅 Important Dates
- Registration deadline: July 10, 2026
- Webinar date: Wednesday, July 15, 2026
- Webinar time: 2:00 PM ET
- India time: July 15, 2026, 11:30 PM IST
🎯 Eligibility & Rules
- Eligibility:
- The official page does not list restrictive age, student, or nationality-based eligibility.
- Best suited for cancer registry professionals, Oncology Data Specialists, healthcare data professionals, informatics learners, and anyone interested in AI-assisted cancer registry abstraction.
- Participation rules:
- Participants must register/enroll for the live webinar.
- After enrolling, a confirmation email is sent with instructions to access the live event link.
- The webinar activity appears under My Learning Activities on the NCRA/CCRE platform.
🏆 Benefits for the Participants
- Certificate/credit incentive: Participants can earn 1 CE credit.
- Learning incentive: Participants gain practical understanding of agentic AI for registry abstraction, including traceable AI outputs, human validation, safety checks, and workflow integration.