{"id":454826,"date":"2021-03-10T09:03:38","date_gmt":"2021-03-10T14:03:38","guid":{"rendered":"http:\/\/www.marketnewsdesk.com\/?p=454826"},"modified":"2021-03-10T09:03:38","modified_gmt":"2021-03-10T14:03:38","slug":"health-catalyst-launches-new-healthcare-ai-to-deliver-augmented-intelligence-at-scale-to-healthcare-industry","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/health-catalyst-launches-new-healthcare-ai-to-deliver-augmented-intelligence-at-scale-to-healthcare-industry\/","title":{"rendered":"Health Catalyst Launches New Healthcare.AI\u2122 to Deliver Augmented Intelligence at Scale to Healthcare Industry"},"content":{"rendered":"
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Next Generation Suite of Intelligence Products and Services to Accelerate the Adoption of Healthcare AI<\/h2>\n

PR Newswire<\/p>\n<\/p><\/div>\n

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\n SALT LAKE CITY<\/span>, March 10, 2021<\/span> \/PRNewswire\/ — Health Catalyst, Inc. (“Health Catalyst,”) (Nasdaq: HCAT), a leading provider of data and analytics technology and services to healthcare organizations, today announced the launch of the new Healthcare.AI\u2122. Created to address healthcare business opportunities and challenges across revenue, cost, and quality, the Healthcare.AI suite of augmented intelligence (AI) products and services will significantly expand the effective use and use cases of AI in healthcare.<\/p>\n

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Healthcare leaders face an unprecedented list of increasingly unique business, clinical, financial, and operational challenges; the ongoing implications of the global pandemic; the new government-mandated Price Transparency Rule and other regulations; overcoming inequity, and an industry-wide shift in care delivery models, making data-informed decision making more crucial than ever.<\/p>\n

To address business, clinical, financial, and operational challenges, healthcare organizations have historically turned to transactive predictive modeling, a version of AI that was quickly adopted in the healthcare setting. \u00a0While the proliferation was positive, healthcare organizations soon realized that self-service predictive models often require tailoring and expert guidance to achieve accurate predictions and results. Further, expert guidance is required to integrate predictive models into workflows, deploy broadly, and sustain positive change. Lastly, transactional predictive models do not address the many other use cases for AI in healthcare.<\/p>\n

\n Jason Jones<\/span>, Chief Analytic and Data Science Officer at Health Catalyst, said, “I came to Health Catalyst to build what I could not buy from within some of the greatest healthcare organizations in the world\u2014tools and services to improve health and healthcare for people at the hospital bedside, in the boardroom, and at their kitchen tables.\u00a0 In contrast to traditional AI approaches, we designed Healthcare.AI as a new approach to meet the needs of healthcare, enabling better decisions both at the point of care and by those leading system-level change.”<\/p>\n

Healthcare.AI significantly expands the potential use cases for AI in healthcare and now supports five levels of healthcare AI analytics. <\/p>\n

\n Product Suite \u2013 Level 1 <\/b>\n <\/p>\n