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Updated: Jul 5, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
An NLP Framework for the Extraction of Concept Measurements from Radiology and Pathology Notes
Annie Bowles1,2, Cris Perez1,2, Anil Vachani3
1VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.
Abstract:
Natural language processing (NLP) tools can automate the identification of cancer patients eligible for specific pathways. We developed and validated a cancer agnostic, rules-based NLP framework to extract the dimensions and measurements of several concepts from pathology and radiology reports. This framework was then efficiently and cost-effectively deployed to identify patients eligible for breast, lung, and prostate cancers clinical pathways.
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