Machine Learning

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

Principal Investigator: 

HopScore: an Electronic Outcomes-Based Emergency Triage System - Final Report

Principal Investigator: 

Improving Missing Data Analysis in Distributed Research Networks

Description: 

This project aims to refine and develop methods to address missing electronic health record data to improve data quality and research validity.

Principal Investigator: 
Project Dates: 
September 30, 2018 to September 29, 2021

TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in ARDS

Description: 

This project will develop and evaluate an electronic clinical decision support tool for care of patients with Acute Respiratory Distress Syndrome.

Principal Investigator: 
Project Dates: 
September 1, 2018 to June 30, 2021

Identifying health information technology related safety event reports from patient safety event report databases.

Principal Investigator: 

The impact of risk standardization on variation in CT Use and emergency physician profiling.

Principal Investigator: 

Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study.

Principal Investigator: 

Achieving Individualized Precision Prevention (IPP) through Scalable Infrastructure Employing the USPSTF Recommendations in Computable Form

Description: 

This project will use Learning Health System methods to systematically apply U.S. Preventive Services Task Force’s evidence-based recommendations with the goal of advancing individualized precision prevention.

Principal Investigator: 
Project Dates: 
July 1, 2018 to June 30, 2020

Annual Conference on Health Information Technology & Analytics (CHITA)

Description: 

The central goal of the annual Conference on Health IT & Analytics is to develop a health information technology and analytics (HIT+A) research agenda that supports national efforts to create a learning health system that produces evidence to make health care safer, of higher quality, more accessible, equitable, and affordable.

Principal Investigator: 
Project Dates: 
April 1, 2018 to March 31, 2021

Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index.

Principal Investigator: