Clarivate: Predictive Analytics for Early Detection of Sepsis in Emergency Department Patients

Early identification of sepsis is essential, as sepsis can rapidly progress to severe sepsis or septic shock, both of which are associated with increased mortality rates.

Saint Luke's successfully implemented Epic’s Early Detection of Sepsis cognitive computing model to enhance the identification of sepsis indicators in the Emergency Department. The case study showed marked improvements in patient outcomes, including a reduction in mortality and length of stay indices.

To learn more about this sepsis early detection tool, read the full article here: Integrate Predictive Analytics With Clinical Workflows in the ED (PDF).