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:
Project Name:
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:
Project Dates:
September 1, 2016 to August 31, 2018