ANALYTICS is the consolidation of clinical analytical data to inform decision making in healthcare. With the informed analytics, clinical data can be used to decipher opportunities in quality, safety, research, operational efficiencies, and better patient experience. Tonya Jagneaux leads the group analytics revolution locally with assistance from Bud O'Neal. Current projects in clinical intelligence and analytics include predictive analytics for sepsis management and inpatient deterioration, and collaboration with Duke and LSUHSC-NOLA with a predictive tool for preexposure prophylaxis therapy in Emergency Departments for HIV prevention. Workspaces for analytical opportunities include Reporting Workbench and SlicerDicer in Epic, interpretation of clinical performance in our benchmarked database Vizient, and broader scale understanding of clinical data utilizing national clinical registries and the Epic data warehouses, Clarity and Caboodle.

Opportunities in pursuing clinical analytics include

• Develop informatics skills to build in the Epic electronic health record and understand the pathway to a fellowship training in the specialty of Clinical Informatics
  Develop statistical analytics skill sets for clarity in interpretation, insights, visualization, and storytelling
  Understand the value in leading point-of-care clinical decision support design and pathways of electronic health record design that reduce error and drive standard of care with reduced clinical variation
  Collaborate with the LSU Industrial Engineering College for process improvement in healthcare
  Change acceleration process
  Performance improvement for leaders