New members bring cross-industry insights to the company
Nashville, Tenn. – Nov. 11, 2020 – Chase Spurlock, PhD, founder and CEO of Decode Health, announced the addition of two members to the company’s Strategic Advisory Board. New [read more…]
One-year-old technology startup Decode Health has developed a predictive artificial intelligence platform that identifies emerging trends in the COVID-19 outbreak, providing governments and other organizations early insights to where resources need to be allocated to provide targeted outreach among high-risk populations.
Board members advise on applications of the company’s AI solution and strategic partnerships
Rich claims data from Blue Health Intelligence® (BHI®) made it possible for Decode Health to create comprehensive models that detect patients with undiagnosed [read more…]
Featured on the GreenevilleSun.com, read the full article here.
Greene County is one of the Tennessee counties at risk for poor patient outcomes if a second wave of the coronavirus occurs according [read more…]
As featured on www.timesfreepress.com, read the full article here.
A data analysis firm in Nashville is warning that Hamilton County is especially vulnerable to COVID-19 due to its demographics and other social, [read more…]
A Nashville-based AI healthcare company predicts a second wave of COVID-19 infections is most-likely in counties near major Tennessee cities. Decode Health creates software for healthcare companies aimed at identifying diseases and creating data analytics. The company has released a map of counties in the state showing where they believe people are most at-risk of being hospitalized and/or dying from COVID-19.
CHICAGO (March 10, 2020) – Blue Health Intelligence® (BHI®) and Decode Health are showing how a machine learning (ML) engine can be applied to large data sets to more accurately forecast which patients [read more…]
The movement to embrace predictive analytics, which has been gathering steam over the past several years, will be especially important as hospitals seek to improve their capabilities to forecast, detect and monitor chronic conditions, especially [read more…]
Everyone knows at least one person with an autoimmune disease or disorder and just may not know it. Even if you think you don’t, you most likely do, considering autoimmune diseases affect approximately 50 million [read more…]