Readmission Reduction with Prescriptive Analytics for Preventable Harm
Readmission events are not isolated. They are the result of a confluence of factors, many of which are exogenous to the patient and his/her clinical care. Things like access to a pharmacy, access to a car, having food in the pantry. All of these external elements impact if, when, and why a patient is readmitted to the hospital.
The Jvion Machine looks at readmission events within all of the clinical and external context that drives risk. We don't view these events in isolation or as a separate moment within an episode of care. Instead, the machine accounts for the holistic patient and delivers a view into the future state of a patient's health including his/her risk of returning to the hospital. This view also includes action pathways that will reduce the likelihood of a readmission to help clinicians apply the most effective intervention based on the personalized needs of the patient.
This approach, and the engine driving it, deliver a highly precise view into who within a patient population is at risk and the exact actions to take. In a recent stress test, Jvion's machine correctly identified patients at high-risk of a readmission 96% of the time. This power is helping our clients drastically lower readmission rates and ensures that each patient is given the most effective intervention and support to drive the best possible outcome.