Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study.

Wendong Ge Haitham S Alabsi Aayushee Jain Elissa Ye Haoqi Sun Marta Fernandes Colin Magdamo Ryan A Tesh Sarah I Collens Amy Newhouse Lidia M V R Moura Sahar F Zafar John Hsu Oluwaseun Akeju Gregory K Robbins Shibani S Mukerji Sudeshna Das Michael Brandon Westover

Published in: JMIR formative research (2022)

Clinical notes are an attractive alternative to ICD codes for EHR delirium studies but require automated methods. Our NLP model detects delirium with high accuracy, similar to manual chart review. Our NLP approach can provide more accurate determination of delirium for large-scale EHR-based studies regarding delirium, quality improvement, and clinical trails.

Keyphrases

cardiac surgery
hip fracture
quality improvement
acute kidney injury
electronic health record
high throughput