Big data helps insurer pinpoint at-risk patients

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.

MOST POPULAR

SPONSORED REPORTS
SPONSORED HEADLINES

SIGN UP

FREE e-Newsletters Join the Council Subscribe to HL magazine

SPONSORSHIP & ADVERTISING

100 Winners Circle Suite 300
Brentwood, TN 37027

800-727-5257

About | Advertise | Terms of Use | Privacy Policy | Reprints/Permissions | Contact
© HealthLeaders Media 2014 a division of BLR All rights reserved.