Press Room

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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.

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Jvion announced today the launch of the company’s latest cognitive machine clinical success vector Bedside Patient Rescue (BPR). Developed in collaboration with Mayo Clinic, BPR helps providers reduce unanticipated, avoidable deaths by more effectively identifying those patients at risk of deterioration and in need of acute clinical intervention.

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.

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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.

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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.

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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 University of Tennessee Medical Center, a Level I trauma center and the Knoxville region’s only academic medical center, is applying Jvion's advanced Artificial Intelligence (AI) and Clinical Patient Pod technology to lower readmission rates and improve the health outcomes of their patient population.

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