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.
Atlanta, GA, November 27, 2017 -- Accenture named cognitive clinical machine creator Jvion a finalist of the Boston regional round for this year’s HealthTech Innovation Challenge. The program, which is in its second year, fosters next-generation technology and innovation in the healthcare industry. Finalists from the three regional rounds held in Singapore, London and Boston, will participate in the StartUp Health Festival taking place in San Francisco during the 2018 JP Morgan Healthcare Conference.
Jvion was selected to participate in regionals from a global pool of 693 digital, life sciences, and healthcare focused startups. The company was one of just 30 invited to compete for a spot in the final judging round, which is scheduled to take place January 8, 2018. Participants were scored on solution innovation, design quality, potential market disruption, and potential impact on patient outcomes. By moving to the final round, Jvion will have the opportunity to present the company’s Cognitive Clinical Success Machine to a panel of exclusive judges, comprised of senior executives from leading health and life sciences companies.
“We are thrilled to move to the final round of the HealthTech Innovation Challenge,” said Ritesh Sharma, Jvion’s COO and competition participant. “This program brings together the remarkable talent and innovation from start-ups at the forefront of the healthcare industry. Being part of this elite group is a tremendous honor.”
Jvion, Inc. (Jvion) delivers a Cognitive Clinical Success Machine that serves as a high-performance appliance for providers and the healthcare community. It activates macro and micro-level recommendations that help healthcare providers who need ultra-definition patient-level prioritizations, clinical action insights, and suggestions produced with unmatched speed, clinical applicability, and actionability. The machine delivers the action-level recommendations that will best reduce the likelihood of an adverse event. This capability is enabled by a cognitive engine driven by horsepower that is based on more than a quadrillion clinical and non-clinical considerations and thousands of data elements. The machine’s thousands of self-learning Eigen spheres are applied to this data for each patient in real time to render an Eigen Propensity Biography that delivers a view into a patient’s total health 30,60,90, up to 365 days in the future. This machine is helping hundreds of hospitals across the nation reduce target illnesses and diseases. jvion.com