Jvion helps healthcare systems and providers prevent harm and lower costs through its AI-enabled prescriptive analytics solution. An industry first, the Jvion Machine™ goes beyond simple predictive analytics and machine learning to identify patients on a trajectory to becoming high risk and for whom intervention will likely be successful. Jvion determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established patient-level intelligence to drive engagement across hospitals, populations, and patients.

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 Machine™ 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.

Doctors are driving without gauges and running on empty…

 

Care variance and high costs are widespread, but doctors haven’t been given any tools to help them make better decisions.

CareGauge gives physicians a real-time view of how their care decisions for a particular patient compare to locally benchmarked patients with that same condition.

Physicians can see cost and care utilization insights on length of stay, imaging, labs, medications, procedures, and more to help them deliver the best care to their patients.

EvidenceCare is a unique type of clinical decision support system (CDSS) with its EHR-integrated and content-agnostic platform that empowers better care decisions by improving clinical workflows.

Founded in response to the professional experience of emergency physician Dr. Brian Fengler, the platform provides clinicians with evidence-based insights and measurable outcomes that improve hospital margins.

Based in Nashville, Tennessee, EvidenceCare is a 2x honoree of the INC 5000 list of fastest growing companies, a 2x Fierce Healthcare Best Product winner, and one of Nashville Business Journal’s Best Places to Work.

Doctors can't change their clinical decisions after they're done with their patient interactions. Real-time integration in the EHR allows decisions to be made at the point of care.

Real-time utilization insights as opposed to all others which are focused on retrospective reporting