{"id":18667,"date":"2018-10-22T06:00:54","date_gmt":"2018-10-22T13:00:54","guid":{"rendered":"https:\/\/www.microsoft.com\/industry\/blog\/?p=18667"},"modified":"2023-05-31T16:36:56","modified_gmt":"2023-05-31T23:36:56","slug":"why-jvion-switched-to-microsofts-azure-ai-platform","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/healthcare\/2018\/10\/22\/why-jvion-switched-to-microsofts-azure-ai-platform\/","title":{"rendered":"Why Jvion switched to Microsoft’s Azure AI platform"},"content":{"rendered":"
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Jvion<\/span><\/span> COO, Ritesh Sharma, <\/span><\/span>says <\/span><\/span>\u201cTrust and Hybrid\u201d makes <\/span><\/span>Azure the best fit for <\/span><\/span>the health industry<\/span><\/span><\/em><\/p>\n At Microsoft we have a unique vision: make AI everyday, everywhere, and for everyone in the same way we sought to bring the benefits of software for computing \u2014 previously locked up in mainframes \u2014 to everyone. We think that every stakeholder in the health industry should have access to the benefits of AI, including the tools it takes to digitally transform their business and the industry.<\/p>\n Faced with a surge in two-sided risk contracting and operational costs, health & life science organizations are feverishly pursuing innovative and disruptive ways to make care personal, effective and affordable.<\/p>\n And one of the fastest paths to making care personal, effective and affordable is implementing AI algorithms across multiple disciplines–from primary care to surgery to quality, safety, operations, and care team workflow.\u00a0 AI holds the keys to making healthcare a high reliability industry and reducing total healthcare spend in the US by up to $300B annually, according to Mckinsey<\/a>. But to realize the outsized potential of AI, health systems will need to put 100’s not handfuls of AI algorithms to work everyday and everywhere.<\/p>\n But there\u2019s a showstopping barrier standing in the way of making AI everyday and everywhere in health: There just aren’t enough data scientists or programmers to meet the rising demand for AI.\u00a0 To make AI everyday and everywhere, we’re empowering our partners and their data scientists to choose the AI technology, platforms, and tools that work best for them.\u00a0 We’re honored that Jvion, a Microsoft health partner, has chosen to switch its AI Cognitive Machine to Microsoft Azure.\u00a0 I recently had a chance to sit down with Jvion’s COO, Ritesh Sharma, to find out what prompted their decisive switch to Azure. Below is a transcript of my interview with Ritesh.<\/p>\n Schmuland: <\/strong>Ritesh, could you start us out with a brief description of Jvion and the markets you serve?<\/p>\n Sharma:\u00a0 <\/strong>Sure thing. At Jvion, we\u00a0deliver healthcare\u2019s only Cognitive Clinical Success Machine. This technology uses Eigenspace<\/a> to make sense of the massive body of healthcare data and turn it into meaningful clinical value. It is not predictive analytics or traditional machine learning. Instead, what we built is designed to serve as a provider’s AI asset that can answer thousands of questions about a patient’s health.\u00a0 It goes beyond high-risk patient populations to identify those on a trajectory to becoming high risk. It determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established Eigen Spheres to drive intelligence across hospitals.<\/p>\n Trust and hybrid<\/b><\/p>\nThis blog post was co-written by Dr. Dennis Schmuland, Chief Health Strategy Officer for Microsoft US Health and Life Sciences; and Ritesh Sharma<\/em><\/strong>, COO of Jvion<\/a> (pictured left).<\/em><\/strong><\/h4>\n