InformationWeek, July 1, 2014

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 study conducted by Aetna and GNS Healthcare analyzed data from almost 37,000 members of an Aetna employer customer who opted in for screening of metabolic syndrome -- which can lead to chronic heart disease, stroke, and diabetes. GNS analyzed information such as medical claims records, demographics, pharmacy claims, lab tests, and biometric screening results from a two-year period.
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