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The Chart Review Tool Powered by NLP (CHANL) is designed to facilitate chart review of narrative text notes from electronic medical records (EMR). It can be used to perform intelligent searches, not only for multiple keywords simultaneously, but can automatically identify other terms and concepts related to the keyword in the notes. The interface highlights identified information in the notes, allowing users to easily locate the information needed. Current users have found this to significantly improve the efficiency and accuracy of chart reviews. This tool was developed by Tianrun Cai, MD, Brigham and Women’s Hospital.


EXTraction of EMR Numerical Data (EXTEND) was developed by Tianrun Cai, MD, Brigham and Women’s Hospital, Katherine Liao, MD, MPH, Brigham and Women’s Hospital, Frank Rybicki, MD, PhD, University of Ottawa, and Tianxi Cai, ScD, Harvard T.H. Chan School of Public Health.

EXTEND is a natural language processing (NLP) tool that can efficiently extract numerical clinical data from different types of narrative notes with high accuracy. By expanding the dictionary and developing new rules, the usage of EXTEND can be easily expanded to extract additional numerical data important in clinical outcomes research.

To gain access to EXTEND, please register for VERITY Membership by selecting the “Become a Member” option in the upper right corner. VERITY Membership is free. If you are already a member or have received your membership credentials, please click here.

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