Goss, Foster R.

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

Principal Investigator: 

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