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  • Jvion Continues Momentum in 2020 with Initiatives to Address COVID-19 Disparities, Expanded Product Offerings, and Industry Recognition
    As the healthcare industry faces unprecedented pressure from COVID-19, revenue loss and deferred care, Jvion adapts its prescriptive clinical artificial intelligence (AI) to meet the moment ATLANTA, GA – September 8, 2020: Jvion, a leader in clinical AI, has continued its momentum in 2020 with...
    08 Sep 2020 | Read More
  • Jvion Lauded by Frost & Sullivan for Improving Patient Outcomes Using Its Clinical-AI CORE™ Intelligence Platform
    Jvion’s prescriptive analytics approach identifies undetected risk and modifiable risk trajectories followed by recommendations for remedial actions SANTA CLARA, Calif. — September 1, 2020 - Based on its recent analysis of the North American prescriptive analytics market, Frost & Sullivan r...
    01 Sep 2020 | Read More
  • HIStalk: Interview with Jay Deady, CEO, Jvion
    HISTalk caught up with Jay Deady to discuss how AI is impacting healthcare, helping make better use of SDOH and identifying vulnerable populations. Read Full Story from HIStalk
    03 Aug 2020 | Read More
Most Recent
  • Becker's Hospital Review: Sentara launches predictive tool to identify patients most at risk for sepsis
    01 Oct 2020 | Read More
  • The Daily Advance: Sentara using AI to predict, prevent deadly sepsis
    30 Sep 2020 | Read More
  • Electronic Health Reporter: Jvion Named to Healthcare’s Most Innovative Companies of 2020
    25 Sep 2020 | Read More
  • Jvion Continues Momentum in 2020 with Initiatives to Address COVID-19 Disparities, Expanded Product Offerings, and Industry Recognition
    08 Sep 2020 | Read More

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Jvion's Solution Out-predicts Stress Tests and CT Coronary Angiograms in Predicting 12-month Acute Myocardial Infarction Events

"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