In this series we intend to inform the central cancer registries about a new EHR reporting initiative and how it is transforming the way EHR data are being reported to public health. Making EHR Data More Available for Research and Public Health (MedMorph) leverages HL7 Fast Healthcare Interoperability Resources (FHIR), which has been developed and implemented by EHR vendors and is ready for central cancer registries to join the FHIRfight to improve completeness and timeliness.

This webinar will provide an overview of the File*Pro software and how it can be used to address common needs from day-to-day registry operations. Practical use-cases will be demonstrated, with an emphasis on the new NAACCR XML data exchange format. The following topics will be covered: • Creating a synthetic NAACCR XML data file for testing purposes. • Modifying an existing NAACCR XML data file. • Comparing two NAACCR XML data files. • Converting a NAACCR XML data file to a CSV file. • Dealing with user-defined dictionaries.

Learn what is new and get a demonstration of a new tool for manual geocode correction, the NAACCR MI GeoCorrect Tool.

An update on what is new with the CiNA Monographs, CiNA Datasets, and all other CiNA products. This presentation will provide an overview of the current CiNA data and will provide a look into future CiNA data products. This presentation will also provide an introduction to two new CiNA Tools: CiNA Explorer (a new, on-line, query-able statistics and data visualization tool replacing Fast*Stats) and CiNA DaRT (a new, on-line Data Request Tracking system replaced our manual CiNA dataset request process).

The purpose of this webinar is to discuss how registries can better understand and support the NCI data sharing requirements for researchers, which for some registries currently pose significant barriers. A significant and related topic, demonstration of data sharing methodologies, will be presented in the future.

The Rate Stabilizing Tool (RST) is an ArcGIS-based tool that allows users to input their own record-level data to generate reliable, local-level age-standardized measures of chronic disease (e.g., prevalence, incidence, and mortality), or other population health outcomes. Bayesian modelling techniques are used to generate population health estimates and enable users to evaluate statistical uncertainty in the estimates. The RST is especially useful for estimating population health measures when the population, or number of events is small. More information on the RST can be found here: https://www.cdc.gov/dhdsp/maps/gisx/rst.html

NAACCR has for many years provided SAS tools to the cancer surveillance community for reading and writing NAACCR-standard flat files. With the switch in V21 to only XML format, the toolset needed an upgrade. This webinar will demonstrate how to read and write NAACCR V21 XML files using SAS. It is highly recommended for registry staff and others in the cancer surveillance community who want to interface with NAACCR V21 XML files using SAS.

This NAACCR Talk is based on a concurrent session that had been planned for the in person 2020 NAACCR Annual Conference.

This NAACCR Talk is based on a concurrent session that had been planned for the in person 2020 NAACCR Annual Conference.

This NAACCR Talk is based on a concurrent session that had been planned for the in person 2020 NAACCR Annual Conference.