Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2.

Journal: Applied clinical informatics

Published Date: May 27, 2015

Abstract

UNLABELLED: Nationwide Children's Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder cohort identification. Discrete data were gleaned from semistructured sleep study reports. The system showed to work more efficiently than the traditional manual chart review method, and it also enabled searching capabilities that were previously not possible.

Authors

W Chen

Research Information Solutions and Innovations , Columbus, OH.
R Kowatch

Center for Innovation in Pediatric Practice , Columbus, OH.
S Lin

Research Information Solutions and Innovations , Columbus, OH.
M Splaingard

Sleep Disorder Center, Nationwide Children's Hospital , Columbus, OH.
Y Huang

Research Information Solutions and Innovations , Columbus, OH.

Keywords

Biological Ontologies Cohort Studies Data Mining Humans Medical Informatics Natural Language Processing Terminology as Topic User-Computer Interface

External Resources

View on PubMed Access via DOI PubMed (26171080)

Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2.

Abstract

Authors

Keywords

External Resources

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