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

Bowles, Annie; Perez, Cris; Vachani, Anil; Steltz, Jennifer; Rose, Brent; Bryant, Alex K; Eyre, Hannah; DuVall, Scott L; Lynch, Julie A; Alba, Patrick R

Bowles, Annie; Perez, Cris; Vachani, Anil; Steltz, Jennifer; Rose, Brent; Bryant, Alex K; Eyre, Hannah; DuVall, Scott L; Lynch, Julie A; Alba, Patrick R.

Afiliação

Bowles A; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.
Perez C; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT.
Vachani A; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.
Steltz J; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT.
Rose B; University of Pennsylvania, Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Philadelphia, Pennsylvania.
Bryant AK; University of Pennsylvania, Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Philadelphia, Pennsylvania.
Eyre H; Veterans Affairs San Diego Healthcare System, San Diego, CA.
DuVall SL; Department of Urology, University of California San Diego, La Jolla, CA.
Lynch JA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI.
Alba PR; Department of Radiation Oncology, Veterans Affairs Ann Arbor Health System, Ann Arbor, MI.

Stud Health Technol Inform ; 310: 1446-1447, 2024 Jan 25.

Article em En | MEDLINE | ID: mdl-38269689

ABSTRACT

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.

Assuntos

Neoplasias; Radiologia; Masculino; Humanos; Processamento de Linguagem Natural; Radiografia; Mama; Neoplasias/diagnóstico por imagem

Palavras-chave

Natural language processing; clinical pathways; framework; lung nodule; pathology notes; prostate volume; tumor size

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Neoplasias Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans / Male Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article

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