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Bacterial Infection

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.

Grant Number
R01 HS015321
Principal Investigator(s)
Guise, Jeanne-Marie

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

Citation
Islam R. Understanding Complex Clinical Decision Tasks for Better Health Information Technology System Design - Final Report. (Prepared by the University of Utah under Grant No. R36 HS023349). Rockville, MD: Agency for Healthcare Research and Quality, 2015.
Principal Investigator
Islam, Roosan
Project Name
Understanding Complex Clinical Decision Tasks for Better Health Information Technology System Design

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

Citation
Sherwin R. Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report. (Prepared by Wayne State University under Grant No. R21 HS024750). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator
Sherwin, Robert
Project Name
Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning