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Paul Cerrato
Paul Cerrato
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7 Big Data Solutions Try To Reshape Healthcare

Big data medicine is still largely unproven, but that's not stopping several medical centers and analytics vendors from jumping in with both feet.
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Insurance fraud, one of the healthcare industry's most vexing problems, takes up a lot of Pervasive's time and attention. Pervasive's DataRush, an application framework and analytics engine for high-speed parallel data processing on multi-core computers and multiple computer clusters, helps service providers with contracts with state agencies detect Medicaid fraud. In one case study highlighted on its website, Pervasive boasts about helping to recover reimbursement for Medicaid claims that should have been collected from private insurers.

In order to detect fraud, some service providers match insurance files using SQL Server, a long tedious process. DataRush's fast-paced fuzzy matching system searches two databases -- one containing Medicaid claims from the state and the other the names of patients enrolled in private plans -- to find overlap. The end result has been lower operational costs and quicker ROI, according to a Pervasive case report.


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User Rank: Apprentice
1/3/2013 | 3:50:55 PM
re: 7 Big Data Solutions Try To Reshape Healthcare
During my interviews with Big Data vendors and medical centers, I did see some tangible results, but in some cases they were improvements in "intermediate endpoints," as medical researchers like to phrase it.

Improvements in blood glucose or serum cholesterol levels in patients whose data has been crunched is worthwhile, but it's not the same as documented evidence that the analysis reduced cardiac deaths or limb amputations. Those are the real endpoints we need to reach.
Paul Cerrato
InformationWeek Healthcare
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