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Automated Detection Strategies Using the Electronic Medical Record.

The goal of this project was to develop and implement an electronic decision rule within the health system’s electronic medical record to detect hospitalized patients at risk of having severe sepsis. To do this, the sensitivity, specificity, and predictive value of the rule needed to be determined. This project was part of data generation and manipulation, such as statistics, modeling, results generation, intervention effectiveness, and program evaluation. Project funding came from the University of Alabama at Birmingham. 

Start Year: 
2009
End Year: 
2011
Researchers: 
Joe Gerald

The University of Arizona