Introduction The SARS-CoV-2 (COVID-19) pandemic has exposed health disparities throughout the USA, particularly among racial and ethnic minorities. As a result, there is a need for data-driven approaches to pinpoint the unique constellation [read more…]
AbstractIntroduction The SARS-CoV-2 (COVID-19) pandemic has exposed the need to understand the risk drivers that contribute to uneven morbidity and mortality in US communities. [read more…]
According to an article in the Journal of the American Medical Association (JAMA), two Harvard economists estimate the cumulative financial costs of the COVID-19 [read more…]
Just as national health officials warned ahead of the holiday season, the winter months of 2020-21 have proven to be the most challenging period of the COVID-19 pandemic so far. In Tennessee alone, there [read more…]
As featured on tennesseelookout.com
Decode Health had been subleasing office space in Cummins Station in Nashville when Covid-19 forced the team home in March. The company, which provides predictive disease insights [read more…]
Although COVID-19 hospitalizations and death rates have dominated the media, another challenge has quietly emerged during the pandemic. Some COVID patients are reporting a wide variety of debilitating symptoms, often lasting months after being diagnosed. [read more…]
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…]