Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study.

Ayush Noori Colin Magdamo Xiao Liu Tanish Tyagi Zhaozhi Li Akhil Kondepudi Haitham S Alabsi Emily Rudmann Douglas Wilcox Laura N Brenner Gregory K Robbins Lidia M V R Moura Sahar F Zafar Nicole M Benson John Hsu John R Dickson Alberto Serrano-Pozo Bradley T Hyman Deborah Blacker Michael Brandon Westover Shibani S Mukerji Sudeshna Das

Published in: Journal of medical Internet research (2022)

NAT adjudication improves the speed and interrater reliability for phenotyping cognitive status compared to manual chart reviews. This study underscores the potential of an NLP-based clinically adjudicated method to build large-scale dementia research cohorts from EHRs.

Keyphrases

electronic health record
high throughput
autism spectrum disorder
cognitive impairment
adverse drug
human health