Featured
  • AI-enabled prescriptive analytics leader Jvion Named to the 2019 CB Insights Digital Health 150 -- List of Most Innovative Digital Health Companies
    Jvion recognized for achievements in empowering healthcare systems to prevent harm and lower costs
    02 Oct 2019 | Read More
  • Novant Health selects prescriptive analytics leader Jvion as inaugural partner for new Institute of Innovation & Artificial Intelligence
    Initial program aims to reduce congestive heart failure readmissions with potential savings of about $1M
    18 Sep 2019 | Read More
  • American Journal of Managed Care (AJMC) Article Showcases Jvion’s Impact on Driving More Efficient Cancer Care
    In a recent AJMC article “How Data, AI Are Unlocking Secrets to Better, More Efficient Cancer Care,” oncology leaders discuss the impact of the Oncology Care Model and AI’s role in improving quality metrics, patient care, and the bottom line.
    15 Aug 2019 | Read More
Most Recent
  • Jvion Welcomes New Senior Vice President of Customer Success
    04 Oct 2019 | Read More
  • AI-enabled prescriptive analytics leader Jvion Named to the 2019 CB Insights Digital Health 150 -- List of Most Innovative Digital Health Companies
    02 Oct 2019 | Read More
  • Novant Health selects prescriptive analytics leader Jvion as inaugural partner for new Institute of Innovation & Artificial Intelligence
    18 Sep 2019 | Read More
  • American Journal of Managed Care (AJMC) Article Showcases Jvion’s Impact on Driving More Efficient Cancer Care
    15 Aug 2019 | Read More

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Mayo Clinic Collaboration

Jvion announced the launch of the company’s latest cognitive machine clinical success vector Bedside Patient Rescue, which was developed in collaboration with the Mayo Clinic. Bedside Patient Rescue is designed to help providers reduce avoidable deaths and patient deterioration. The vector is the latest addition to the thousands of vectors currently enabled by Jvion’s Cognitive Clinical Success Machine.

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 Effectiveness Score Index (ESI) approach is helping providers make sense of the complex predictive solution landscape that has erupted across the healthcare industry. In a landscape in which many healthcare vendors claim to have a predictive solution, cognitive science leader Jvion is working to clear the noise. During a recent presentation, Jvion data science leaders introduced the idea of the Effectiveness Score Index (ESI) to help illustrate and mitigate the accuracy fallacy inherent to many of the predictive solutions on the market.

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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 Logo

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.

Five judges chose Nigam's business proposal over four other finalists in Mayo Clinic's Think Big Challenge, a "Shark Tank"-like startup competition. Nigam gave his final pitch to a laid-back, tech-connected crowd gathered in the Mayo Civic Center for Mayo Clinic's Transform 2016 conference. He won a $50,000 cash prize plus the right to license Mayo Clinic's Bedside Patient Rescue technology.

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Mayo Clinic Think Big Challenge

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.

St. Vincent Charity Medical Center, an acute care teaching hospital sponsored by the Sisters of Charity Health System, and Mercy Medical Center, a ministry of the Sisters of Charity Health System and a 476-bed, acute care teaching hospital serving the Ohio area, recently selected Jvion as the system’s cognitive machine provider. Through the firm's clinical cognitive engine, the providers will receive predictions that will help improve patient health outcomes while optimizing cost and saving lives.

"Based on our initial analysis of a sample set of patients, Jvion’s Acute Myocardial Infarction (AMI) predictions are performing almost two times better than stress tests and 20% better than CT coronary angiograms in predicting AMI events in a low risk population within 12 months of discharge." - Dr. John Showalter, CHIO University of Mississippi Medical Center

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.

Exciting things are happening at Jvion, and we want to share some important news with you. Now we have a more spacious office with a great view and location. Jvion team really rocks!

Rush University Medical Center, Chicago, has teamed with a number of technology firms to build a unique job-training program for military veterans. Through the collaboration, more than a dozen veterans have been placed in information technology jobs throughout the Chicago region.

University of Mississippi Medical Center CIO John Showalter and Jvion, a data analytics company, were honored today at the CHIME15 Fall CIO Forum for a collaboration aimed at improving care for heart failure patients.

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2015 Black Book Award Logo

Black Book™ surveyed 1,191 hospital Chief Financial Officers, Vice Presidents of Finance, Controllers and Directors, to determine the top performing vendors among in-demand financial software, systems and outsourcing services, and assess the gaps and urgencies of hospital financial administration. The highest ranked vendors in customer satisfaction and client experience are announced in twenty-four financial solution functionalities and systems.

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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.

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