Bacterial Infection

Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report

Principal Investigator: 

Understanding Complex Clinical Decision Tasks for Better Health Information Technology System Design - Final Report

Principal Investigator: 

Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning

Description: 

This research took an existing sepsis-related clinical decision support (CDS) and developed, tested, implemented, and validated a knowledge-based artificial intelligence-enhanced sepsis CDS.

Principal Investigator: 
Project Dates: 
June 1, 2016 to November 30, 2018

Improving Safety and Quality with Integrated Technology

Description: 

Demonstrates the value of an integrated outpatient and inpatient health information system by assessing adherence to evidence-based treatment guidelines for women who are group B streptococcus positive including inappropriate antibiotic use and screening in the outpatient setting, and cost-benefit analysis.

Principal Investigator: 
Project Dates: 
September 30, 2004 to August 31, 2009