An NLP Framework for the Extraction of Concept Measurements from Radiology and Pathology Notes

Annie Bowles, Cris Perez, Anil Vachani, Jennifer P. Steltz, Brent Shane Rose, Alex K. Bryant, Hannah Eyre, Scott L. DuVall, Julie Ann Lynch, Patrick R. Alba · Studies in health technology and informatics · 2024

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.

Read the paper · More papers on PaperTik