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  • Baptist Health Montgomery Celebrates Four Years of AI Success
    Baptist Health Montgomery is celebrating four years of success using Artificial Intelligence (AI) to improve quality and safety, and decrease cost. The system’s AI Asset—Jvion’s Cognitive Machine—has helped prevent readmissions, improve outcomes, and maintain the health of Baptist Health’s employ...
    04 Oct 2018 | Read More
  • Major Academic Medical Center Embarks on Evaluation of Jvion’s Enterprise AI Solution
    Jvion, the leading AI Cognitive Machine provider for healthcare, today announced that its Jvion Cognitive Machine has been selected by Duke University Health System (DUHS) for deployment and evaluation for the potential of improving several patient health outcome and quality considerations. The m...
    28 Sep 2018 | Read More
  • Washington State Hospital Association Selects Jvion to Support Statewide Quality Initiative
    Washington State Hospital Association (WSHA) selects Jvion to support statewide quality initiatives by providing analytics to reduce readmissions at the association's more than 100 hospitals. This partnership is expected to extend over the next year with the aim of tackling health equity and mort...
    28 Sep 2018 | Read More
Most Recent
  • Baptist Health Montgomery Celebrates Four Years of AI Success
    04 Oct 2018 | Read More
  • Major Academic Medical Center Embarks on Evaluation of Jvion’s Enterprise AI Solution
    28 Sep 2018 | Read More
  • CareATC Selects Jvion’s Cognitive Machine to Prevent Patient Deterioration
    28 Sep 2018 | Read More
  • Washington State Hospital Association Selects Jvion to Support Statewide Quality Initiative
    28 Sep 2018 | 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