Harm Prevention

Engaged Patients and The Cognitive Clinical Success Machine

To determine a patient’s likelihood to engage with a specific clinical action or intervention, the Jvion Machine makes sense of the thousands of socioeconomic and behavioral factors that influence the propensity to engage.
This intelligence along with a patient’s clinical history are mapped within the machine’s Eigen-based architecture to pin point the interventions that will drive the highest levels of engagement for each individual patient. With this propensity information, clinicians can better align clinical actions and resources to the patients who are most likely to benefit and engage with specific care activities and interventions.
Jvion's Thinking Machine

We created a machine that thinks like a clinician. Here is how we did it.

Immerse Yourself in the Jvion Machine

Take just 2.5 minutes to dive into the world of prescriptive analytics for preventable harm.

The Jvion Machine in Action

See firsthand how the Jvion machine can help your patients and your organization.