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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