A Cognitive Clinical Success Machine
Delivering Speed and Specificity
Learn how Jvion's Cognitive Clinical Success Machine works as a high-performance appliance to deliver patient-level predictions, prioritizations, recommendations, and interventions that improve patient health. Jvion's solution is working inside of Hospitals, Accountable Care Organizations (ACOs), Integrated Delivery Networks (IDNs), and Post Acute Care (PAC) facilities to drive better quality care at a reduced cost with unmatched speed and action-level recommendations.
Jvion's Cognitive Clinical Success Machine is an award-winning solution that has the ability to see the future health state of a patient and the actions that will stop illness. It makes sense of the ever-changing body of clinical data to deliver action-level recommendations with unmatched speed and specificity. As a result, providers are better able to stop adverse events such as hospital acquired conditions, prevent patient suffering and deterioration, target community health activities, and save resources.
The machine's horsepower is based on trillions of clinical and non-clinical considerations and thousands of data elements. We apply our hundreds of thousands of self-learning Eigen Spheres to this data for each patient in real time. And we capture this power through a process of Embodied Cognition, which allows us to point our cognitive machine to the illnesses and events that matter most.
Jvion's Cognitive Clinical Success Machine does what simple “predictive analytic” tools cannot. It can see each patient holistically. Our machine accounts for the thousands of exogenous factors impacting health and potential risk. Everything from the socioeconomic determinants of health to behavioral impacts and environmental elements are accounted for by the cognitive engine. These components, which make up 60% of the factors impacting a person's health status, help us deliver a full portrait of the patient that is as close to the true future state of a patient's risk and health as possible.