Goss, Foster R.

Natural Language Processing to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department - Final Report

Citation: 
Goss F. Natural Language Processing to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department - Final Report. (Prepared by the University of Colorado under Grant No. R21 HS024541). Rockville, MD: Agency for Healthcare Research and Quality, 2018.
Principal Investigator: 
Goss, Foster R.
Project Name: 
Natural Language Processing To Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department

Natural Language Processing To Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department

Description: 

This project developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.

Principal Investigator: 
Foster R. Goss
Project Dates: 
September 1, 2016 to August 31, 2018