News and Resources2022-09-27T11:39:00-06:00

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Biomarker Discovery to Improve Clinical Trials and Advance Precision Medicine

In the U.S., the cost of chronic diseases is more than $3.7T1 annually. Massive amounts of healthcare data are generated through wearable data, healthcare claims, electronic health records, and even complex genomic datasets. By 2025, the average individual will accumulate more than 4,900 daily digital device interactions2. Data alone, however, isn't the answer. The key is to find patterns within the data to proactively intervene and reduce the inefficiency within the $808 billion3 healthcare industry.

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Battling the Economic Toll of SARS-CoV-2 with Predictive Analytics

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 pandemic at more than $16 trillion. To put this number into perspective, that’s approximately 90% of annual GDP of the United States or $200,000 for a family of four. This is a combination of lost income due to the COVID-induced recession and the economic effect of a shorter, less healthy life.

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Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in Tennessee

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 of clinical and social determinants of health (SDOH) risk factors that give rise to poor patient outcomes following infection in US communities.

Predictive modeling of COVID-19 case growth highlights evolving racial and ethnic risk factors in Tennessee and Georgia

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. Addressing the community-specific social determinants of health (SDOH) that correlate with spread of SARS-CoV-2 provides an opportunity for targeted public health intervention to promote greater resilience to viral respiratory infections.

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

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 spend.

News

Decode Health Adds Board Chairman and Chief Medical Officer

Decode Health, a rapidly growing healthcare AI company that enables a partner ecosystem to innovate and solve data challenges involving disease risk, announced today that two healthcare industry veterans will expand their current advisory roles within the company.

Decode Health Earns DataRobot’s AI Innovator Award

Decode Health was recently recognized with an AI Innovator Award at the DataRobot AIX 22 global virtual conference. DataRobot is a Boston-based AI cloud platform company that works with customers worldwide across industries and verticals, including almost 40% of Fortune 50 companies.

Decode Health and IQuity Combine Operations

The teams at Decode Health and IQuity Labs have collaborated for several years leveraging AI to deliver on the power of genomic data. Today, the companies announced they will now operate as Decode Health.

Blog

Biomarker Discovery to Improve Clinical Trials and Advance Precision Medicine

In the U.S., the cost of chronic diseases is more than $3.7T1 annually. Massive amounts of healthcare data are generated through wearable data, healthcare claims, electronic health records, and even complex genomic datasets. By 2025, the average individual will accumulate more than 4,900 daily digital device interactions2. Data alone, however, isn't the answer. The key is to find patterns within the data to proactively intervene and reduce the inefficiency within the $808 billion3 healthcare industry.

RNA Genomics: A Powerful Tool to Improve Population Health Management

Autoimmune diseases, such as multiple sclerosis (MS), ulcerative colitis, Crohn’s disease, and rheumatoid arthritis, are complex diseases that affect over four million people in the United States and cost the healthcare system over $90 billion annually. Autoimmune comorbidities present serious complications, increase hospitalization risks, and ultimately amplify the costs associated [read more...]

Battling the Economic Toll of SARS-CoV-2 with Predictive Analytics

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 pandemic at more than $16 trillion. To put this number into perspective, that’s approximately 90% of annual GDP of the United States or $200,000 for a family of four. This is a combination of lost income due to the COVID-induced recession and the economic effect of a shorter, less healthy life.

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