Application of Text Information Extraction System for Real-Time Cancer Case Identification in an Integrated Healthcare Organization.

ABSTRACT:

Background

Surgical pathology reports (SPR) contain rich clinical diagnosis information. The text information extraction system (TIES) is an end-to-end application leveraging natural language processing technologies and focused on the processing of pathology and/or radiology reports.

Methods

We deployed the TIES system and integrated SPRs into the TIES system on a daily basis at Kaiser Permanente Southern California. The breast cancer cases diagnosed in December 2013 from the Cancer Registry (CANREG) were used to validate the performance of the TIES system. The National Cancer Institute Metathesaurus (NCIM) concept terms and codes to describe breast cancer were identified through the Unified Medical Language System Terminology Service (UTS) application. The identified NCIM c

SUBMITTER: Xie F 

PROVIDER: S-EPMC5760847 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature