WUSA9: Genomics – The Power to Predict – Special WUSA9 Coverage of Inova and GNS aired on January 24, 2015

A television special on groundbreaking work by the Inova Translational Medicine Institute (ITMI) in Northern Virginia will feature collaboration with GNS Healthcare that uses genomics to prevent preterm births. “Genomics – The Power to Predict” aired on January 24, 2015 on the CBS affiliate in Washington, DC, News Channel 9. Watch the full show here.

Scientific American Worldview and Center for Medicine in the Public Interest Honor GNS Healthcare CEO and Co-Founder Colin Hill

‘Top Medical Innovators’ Honor Recognizes GNS for Work in Multiple Myeloma CAMBRIDGE, Mass. – Dec. 9, 2014 – GNS Healthcare (GNS), a leading provider of analytics solutions for driving personalized interventions that improve population health, today announced that its CEO and co-founder, Colin Hill, has been honored by Scientific American Worldview as a Top Medical […]

Hartford Courant: Aetna Study Uses Data To Predict Risk Of Metabolic Syndrome

Aetna and a data analytics firm looked at medical claims of 37,000 policyholders to find the likelihood that those patients are at a risk of metabolic syndrome, according to research published last week in the American Journal of Managed Care. Metabolic syndrome is characterized by five factors: a large waist size, high blood pressure, high […]

Health Data Management: Biomedical Data Analyses Can Predict Metabolic Risk

Analyses of biomedical data from nearly 37,000 volunteer employees of a large company insured under Aetna shows a success rate of 80 percent to 88 percent in predicting risk of metabolic syndrome, which can cause chronic disease. Metabolic syndrome means an individual has at least three of five biological characteristics that are out of normal […]

InformationWeek Healthcare: Big Data Helps Insurer Pinpoint At-Risk Patients

Aetna and GNS Healthcare use analytics to predict patients at risk for metabolic syndrome Analyzing big data can predict patients’ future risk of metabolic syndrome and allow individuals and clinicians to work together on preventative steps that save lives and money. While organizations have used a lot of big data projects to discern trends, a […]

AJMC publishes results showing big data analytics can predict risk of metabolic syndrome

Large-scale patient data analytics can help create personalized, early intervention for patients CAMBRIDGE, Mass. and HARTFORD, Conn. – June 27, 2014 – Research published today in the American Journal of Managed Care demonstrates that analysis of patient records using state-of-the-art data analytics can predict future risk of metabolic syndrome. More than a third of the […]

Aetna.com: Using “Big Data” to Predict – and Improve – Your Health

Aetna’s Innovation Labs teamed up with GNS Healthcare to use “big data” to predict the one-year risk of developing metabolic syndrome. The groups used computer models to study information from 37,000 members of one of Aetna’s employer customers. Read the complete article here…