5 – Using Predictive Analytics and Effective Tools to Drive Down Infections

Central line-associated bloodstream infections (CLABSIs) are one of the most costly and harmful hospital-acquired infections reported nationally. The detection and investigation of these infections is a labor-intensive process that occurs retrospectively after a patient is confirmed to have acquired a CLABSI.

Join Kristen Kelley from Indiana University Health as she describes the organization’s journey to enabling real-time data analysis and the use of predictive analytics to identify and intervene with patients at risk for these infections before they occur. She will also discuss the future possibilities she sees with predictive analytics for transforming hospital safety practices.

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