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Geisinger runner-up in national AI Health Outcomes Challenge


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DANVILLE, Pa., May 20, 2021 /PRNewswire/
 Geisinger has been named runner-up out of more than 300 entries in the Centers for Medicare & Medicaid Services (CMS) Artificial Intelligence Health Outcomes Challenge.
Geisinger partnered with Medial EarlySign, a leader in machine learning-based solutions to aid in early detection and prevention of high-burden diseases, to use artificial intelligence (AI) to predict unplanned hospital admissions, readmissions occurring soon after hospital discharge, healthcare-associated complications, and mortality. The two entities collaborated to develop models that predict the risk of these outcomes using Medicare administrative claims data and created novel visualizations to explain the results in a clinician-friendly manner, a key component of AI implementation. ....

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CMS names ClosedLoop.ai winner AI Health Outcomes Challenge


WHY IT MATTERS
The challenge developed by the CMS Innovation Center to find new AI-powered approaches to predicting health outcomes for Medicare beneficiaries initially drew more than 300 entries from across all industries, including Accenture, Deloitte, Geisinger, IBM, Mayo Clinic and Merck. These were first winnowed to a top 25 and then to seven finalists.
As the grand prize winner, Austin, Texas-based ClosedLoop.ai will receive up to $1 million in prize money. 
Danville, Pennsylvania-based Geisinger was the runner-up and will receive up to $230,000.
Both organizations were recognized by CMS for their AI and machine learning tools to predict unplanned hospitalizations, skilled nursing facility admissions and adverse events. They each created predictive algorithms as well to identify Medicare beneficiaries at risk of mortality in 12 months. ....

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