The NAACCR ODS Exam Prep and Review Webinar Series offers online interactive instruction with live instructors. The course includes eight 2-hour sessions carefully prepared to reflect the changes to the 2026 ODS exam.

Learn how the Median/Multiple Outlier Testing Method (MMOT) can transform cancer registry data quality assessment. This session introduces the method developed by the National Cancer Institute’s Surveillance Research Program, Surveillance, Epidemiology, and End Results (NCI-SRP-SEER) and shows how it is applied within NAACCR using CiNA data to evaluate completeness across registries. Learn how to benchmark your registry against others and how to implement MMOT internally in your central cancer registry as part of routine quality control processes

The NAACCR Cancer Pathology Reporting (CPR) Guidelines - also known as Laboratory Electronic Pathology Reporting Guidelines Volume V - are being incorporated into HL7's Laboratory Reporting Interface (LRI) Implementation Guide through the May 2026 HL7 ballot process. This webinar will provide NAACCR members: • Information about the LRI IG • Benefits to incorporating NAACCR's CPR Guidelines • Details about how to read, review, and provide comments on the guide • Time for questions/discussions related to incorporation of the guide and HL7 ballot process HL7's ballot period opens Friday, April 10, 2026 and closes Monday, May 11, 2026. During this period, HL7 members are allowed to vote on the proposed update and provide comments. The NAACCR community will need to provide their comments by EOB Friday, May 1, 2026.

Cancer registries and surveillance programs face a persistent challenge: the spatial and temporal dimensions of cancer incidence and mortality are analyzed in separate, often incompatible tools - SaTScan for cluster detection, NCI Joinpoint for trend analysis, ArcGIS for mapping, etc - with insufficient integration and no statistical guidance on method selection. This fragmented workflow consumes expert time, limits what junior analysts can do independently, and leaves critical geographic questions unanswered. Vesta is a unified geospatial analysis platform developed by BioMedware that brings together spatial cluster detection, geostatistical modeling, spatial joinpoint regression, and AI-guided method selection in a single environment purpose-built for cancer epidemiologists. Developed over three decades of NIH- and NCI-funded research, Vesta's methods are grounded in peer-reviewed geostatistics and designed to produce publication-ready, defensible results - without requiring GIS expertise. In this session, Dr. Geoff Jacquez will present the conceptual framework for integrated geospatial cancer analysis, and Dr. Pierre Goovaerts will lead a live demonstration of Vesta using real cancer data - your workflow challenges and feature priorities, gathered through survey and small group discussion, will feed directly into the BioMedware development roadmap.

Presentations: "Gentle Introduction to “AI” for Cancer Data Analysis" Tesla DuBois, Senior Clinical Data Scientist, Jefferson Cancer Center "How AK is using AI to help process MDI case finding linkages, show excel/SAS/SQL examples—malfunctions" Julie Cleaton, Public Health Data Analyst, Alaska Cancer Registry

This Epi ‘Hour’ will be a quick introduction to using JMP software. While JMP has a wide range of statistical analysis types built into the graphical user interface (GUI), the Epi ‘Hour’ will focus on the Graph builder platform in JMP. CiNA public data will be used to demonstrate various graphs including scatterplots, bar charts, line of fit, smoother, and maps.

This 90 minute, informal Zoom meeting will include a presentation on Iowa’s 99 County Project. Presented by Amanda Kahl, from the Iowa Cancer Registry, and Cathy Bledsoe, from One Health Insights.

This 90-minute, on-line session will be three parts: 1. Informal networking 2. Demo and discussion of the Texas Data Quality Dashboard (recorded portion) 3. Small group discussion about data quality visualization into and the analyst role If you would like to receive invitations to future Epi “Hours,” make sure to select Research & Data Use as an interest in your MyNAACCR profile.

This training session focus on Retinoblastoma schema using the PDCS.

The NAACCR Pediatric SSDI Working Group designed virtual training modules to assist registrars in collecting pediatric staging data elements as part of the new Pediatric Data Collection System (PDCS). Each session focuses on a specific cancer site.