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University Hospitals (UH) – one of the nation’s leading health care systems, delivering high-quality, patient-centered care throughout Northeast Ohio – selected Jvion’s Cognitive Machine to further drive down rates of sepsis and improve the patient experience. The AI capabilities delivered by Jvion will be applied to the primary prevention of both inpatient and community sepsis, and to improving patient satisfaction.

Onslow Memorial Hospital stands as a clear example that even a small hospital can do amazing things with Artificial Intelligence (AI). The hospital has been an industry leader in the application of AI to fill the clinical and operational needs left unaddressed by traditional EHRs and predictive tools. It came as no surprise that when the 162-bed Coastal Carolina facility wanted to tackle the complex issue of patient experience, they looked to Jvion’s Cognitive AI Machine. This extension to patient experience builds on the provider’s history of success using the machine to lower rates of readmissions, patient regression, pressure injury, and ACO population risk propensities.

Geisinger selected Jvion’s Cognitive Clinical Success Machine as one of the organization’s critical Artificial Intelligence (AI) assets. The decision to move forward with Jvion was made after a successful initial pilot and validation of the solution’s performance with industry peers. The initial scope of cognitive machine application will be to Chronic Obstructive Pulmonary Disease (COPD) related readmissions, and avoidable COPD admissions for patients served by the Geisinger Medical Center—the system’s largest hospital.

Jvion, the leader in Eigen-based cognitive machine technology for healthcare, released their latest vector aimed at lowering rates of no-show appointments. By delivering insights into patients at risk of a missed appointment and the actions that will most effectively drive patient attendance, providers have a new, powerful tool to help lower rates of no-shows and drive patient engagement.

Jvion, the developer of the Cognitive Clinical Success Machine, announced the release of the company’s latest clinical vector to target and treat patients at risk of opioid abuse. The machine’s outputs will be used to identify at-risk patients and the actions that will most effectively reduce risk while ensuring engagement.

Continuing to serve as a catalyst for identifying and engaging with emerging innovators and disruptors with the second annual Accenture HealthTech Innovation Challenge, Accenture has named cognitive clinical machine creator Jvion as a finalist for this year’s event. Finalists from the three regional rounds that were held in Singapore, London and Boston will participate in the StartUp Health Festival in San Francisco during the 2018 JP Morgan Healthcare Conference.

Clostridium difficile infection (CDI) is a severe bacterium that impacts hospitalized patients and significantly increases risk of death. Jvion’s CDI vector helps providers determine who is at-risk of a CDI and accounts for risks beyond the current patient to drive considerations for the 20-50% of asymptomatic patients that contribute to CDI risk.

Atlanta, GA February 21, 2017 -- Atlanta-based Jvion, the leading cognitive clinical science machine firm, announced the acquisition of the predictive analytic firm Predixion’s Healthcare IT practice. Predixion, which raised $42M+ to date, received $20M in its third round of investment and is backed by giants including Accenture, GE Ventures, and Software AG, will bring top industry talent and an impressive client roster to Jvion. Analyst believe the move will help augment Jvion’s market positioning while amplifying the value delivered by Predixion to their current client base by enabling access to Jvion’s Cognitive Clinical Success Machine.

Chief Medical Officer and post-acute care expert Terry Sullivan, MD will present the latest industry perspectives on post-acute care integration during the HIMSS17 conference. The presentation is expected to deliver deep insights into risk reduction techniques and the role of advanced cognitive science in driving better health outcomes for the elderly patient population.

Jvion’s Clinical Cognitive Science Recommendation Machine is delivering patient, action-level predictions, interventions, and suggestions that are leading to better health outcomes. The solution, which performs like a high-performance, plug-and-play appliance, fits directly into the current technology ecosystem and can start delivering risk and recommendation predictions in weeks.

Grady Health System, one of the nation’s largest public academic health systems and a safety net provider serving the Atlanta community, is using Jvion’s clinical predictive solution to reduce the risk of re-hospitalization within their patient population. With Jvion and the RevEgis platform, Grady has been able to better target and support at-risk Congestive Heart Failure patients while driving value for the health system.

The Mayo Clinic Center for Innovation and Mayo Clinic Ventures today announced that Jvion of Johns Creek, GA has been selected as one of five finalists for the Mayo Clinic Think Big Challenge, a national competition for innovators and entrepreneurs to earn the opportunity to license Mayo Clinic technology, lead a team, and score a $50,000 cash prize.

Jvion, the Atlanta-based leader in clinical predictive analytics, announced the completion of the firm’s recent funding. Led by Eastside Partners with follow on participation from Martin Ventures, proceeds from this round will help Jvion drive continued support for the firm’s customers and expand the predictive use cases enabled by Jvion’s RevEgis software.

Jvion Releases Mobile App

Extending the success of the firm’s Cognitive Clinical Success Machine, Jvion released a mobile application. The app, which is enabled for all iOS and Android platforms, provides a simple, organized tool to help providers access accurate patient-level predictions and interventions from anywhere at any time.

Jvion, the Atlanta-based leader in predictive analytic healthcare solution, released their latest use case focused on enabling value-based purchasing performance. This predictive capability will help hospitals improve performance under the Hospital Value-based Purchasing Program while also driving improvements in the quality of care.