At a glance
The National Oncology rapid Ascertainment Hub (NOAH) helps central cancer registries identify reportable cancer cases in pathology reports.
Overview
Built on the foundation of eMaRC Lite, NOAH adds features to streamline cancer data management. These features were developed and tested in CDC's Childhood Cancer Survivorship, Treatment, Access, and Research (STAR) project.
NOAH helps pathology laboratories and cancer registries by:
- Importing files in HL7 2.3.1, HL7 2.5.1, and North American Association of Central Cancer Registries (NAACCR) pipe-delimited formats and processing them for reportability.
- Quickly identifying cancer cases that occur in children and young adults.
- Ä¢¹½ÊÓƵing a terms table to find potential reports of cancer, using the negation terms finder (NegEx) to enhance its text mining capabilities.
- Providing a user interface to view the pathology report with reportability and auto-coded histology, primary site, behavior, and laterality results.
Selected features in version 1
For version 1, NOAH:
- Transforms NAACCR pipe-delimited files to create NAACCR HL7 2.5.1 messages.
- Includes a base National Program of Cancer Registries natural language processing model to determine reportability, histology, primary site, behavior, and laterality.
- Includes conditional terms to improve site coding.
- Can train registry-specific models for identifying reportable cases.
- Can be implemented locally or used as an application programming interface (API).
- Flags reports with histology and primary site combinations that defines as impossible.
- Identifies metastatic cancers, if clearly noted in the report.
Please contact cancerinformatics@cdc.gov for more information.