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News & Resources

Model: County At Risk In Second Wave Of Virus

Featured on the GreenevilleSun.com, read the full article here. Greene County is one of [read more...]

Health disparities in Hamilton County create high risk for COVID-19, analysis shows

As featured on www.timesfreepress.com, read the full article here. A data analysis firm in [read more...]

Nashville data company predicts areas in middle Tennessee most vulnerable to 2nd wave

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.

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Publications

CLIENT SUCCESS STORY: Blue Health Intelligence® (BHI®)

Best-in-class data, combined with machine learning, provides revolutionary insight into chronic disease management Rich claims data from Blue Health Intelligence® (BHI®) made it possible for Decode Health to create comprehensive models that detect patients with undiagnosed or misdiagnosed disease and predict individuals who will likely experience the highest healthcare [read more...]

Illuminating an Invisible Epidemic: A Systematic Review of the Clinical and Economic Benefits of Early Diagnosis and Treatment in Inflammatory Disease and Related Syndromes

A long sought-after goal across a wide range of healthcare specialties is to devise strategies that enhance patient care and simultaneously reduce expenses. Inflammatory diseases and chronic syndromes currently impose an immense social and economic burden on society in terms of both direct and indirect healthcare costs. While published annual [read more...]

Podcasts

Using machine learning to predict COVID-19 hotspots - Julia Polk & Chase Spurlock, Decode Health AI

“– The Healthcare Solutions Project, Episode 30

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How AI and data help diagnose and treat disease - Chase Spurlock, Decode Health AI - Episode 2

“– The Healthcare Solutions Project

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News

Blue Health Intelligence and Decode Health Team Up to Validate the Accuracy of Predictive Models for Chronic Disease

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 will get chronic diseases. Decode’s analysis used a representative subset of BHI’s National Data Repository, the largest and [read more...]

Data Analytics Holds Promise of Dramatically Improving Outcomes for Patients with Autoimmune Disease.

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 autoimmune diseases. Read the Article

Predictive Analytics: How Big Data Will Improve Outcomes and Efficiencies in Diagnosing and Treating Patients

A growing body of research in the exciting field of predictive and prescriptive analytics suggests that if you input large datasets—drawn from millions of healthcare claims or electronic medical records, for example—sophisticated algorithms can identify patterns that deliver meaningful diagnostic information for patients with a wide range of conditions. These [read more...]

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Blog

Illuminating an Invisible Epidemic: Addressing Cost Drivers in Diagnosis and Treatment of Autoimmune Diseases and Disorders

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 Americans while cancer affects 15 million. Both diseases substantially impact society, but how do we [read more...]