Preventable Harm is Preventable
Jvion helps healthcare systems prevent patient harm and associated costs by enabling clinical staff to focus attention, resources, and individualized interventions on patients whose outcomes can be improved
Unlike traditional AI and predictive analytic solutions that merely identify high-risk patients and cause alarm fatigue, Jvion pinpoints the impactable patients who are on a risk trajectory that can be changed and provides the patient-specific recommendations that will drive to a better outcome.
The Jvion MachineTM is a combination of Eigen-based mathematics, dataset of more than 16 million patients, and software that can be quickly applied to any of 50 preventable harm vectors (such as sepsis, readmissions, falls, avoidable ER visits, and pressure injuries) without the need to create new models or to have perfect data.
As the leader in prescriptive analytics for preventable harm, Jvion has proven effective in clinical settings for nearly a decade, with hospitals reporting average reductions of 30% in preventable harm incidents and avoidable cost savings of $6.3 million a year.
The Jvion Machine
There is growing evidence that providers are struggling to draw clinical value from their EHRs. While they amass large amounts of patient data, they aren’t able to use it to drive more effective care
The Jvion Machine fills this gap by delivering an extendable prescriptive analytics solution that can be pointed to more than 50 clinical challenge across the care continuum. It can consume diverse data, be applied to diverse locations and patient populations, and deliver customized outputs based on workflow and stakeholder needs. The proven return of the machine translates across clinical applications and geographies. It delivers the assurance of success that providers need and the speed to value they require.
Thinking Beyond the Machine
Because the Jvion Machine is focused on patient impact, it drives value in two ways. One, it lowers rates of preventable harm by more precisely identifying at-risk patients and the actions that will lead to improved outcomes. And two, it lowers avoidable cost by pointing clinicians to the right patients at the right time with the right clinical actions.