Integration of Cancer Registry Data into the Text Information Extraction System: Leveraging the Structured Data Import Tool.

ABSTRACT:

Introduction/background

Cancer registries in the US collect timely and systematic data on new cancer cases, extent of disease, staging, biomarker status, treatment, survival, and mortality of cancer cases. Existing methodologies for accessing local cancer registry data for research are time-consuming and often rely on the manual merging of data by staff registrars. In addition, existing registries do not provide direct access to these data nor do they routinely provide linkage to discrete electronic health record (EHR) data, reports, or imaging data. Automation of such linkage can provide an impressive data resource and make valuable data available for translational cancer research.

Methods

The UPMC Network Cancer Registry collects highly structured, longitudinal data on all

SUBMITTER: Linkov F 

PROVIDER: S-EPMC6319041 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature