The feasibility of using natural language processing to extract clinical information from breast pathology reports

The feasibility of using natural language processing to extract clinical information from breast pathology reports

Objective: The opportunity to integrate clinical decision support systems into clinical practice is limited due to the lack of structured, machine readable data in the current format of the electronic health record. Natural language processing has been designed to convert free text into machine read...

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Bibliographic Details
Main Authors: Julliette M Buckley, Suzanne B Coopey, John Sharko, Fernanda Polubriaginof, Brian Drohan, Ahmet K Belli, Elizabeth M. H. Kim, Judy E Garber, Barbara L Smith, Michele A Gadd, Michelle C Specht, Constance A Roche, Thomas M Gudewicz, Kevin S Hughes
Format: Article
Language:English
Published: Elsevier 2012-01-01
Series:Journal of Pathology Informatics
Subjects:
Breast pathology reports
clinical decision support
natural language processing
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2012;volume=3;issue=1;spage=23;epage=23;aulast=

Internet

http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2012;volume=3;issue=1;spage=23;epage=23;aulast=

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