The key to re-opening our economy and communities: Contact tracing
January 3, 2021
According to scientists, epidemiologists, and other public health experts, the…
Pondera Solutions leverages advanced prediction algorithms and the power of cloud computing to combat fraud, waste, and abuse in government programs.
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Pondera supports the federal government’s efforts to identify individual cases of fraud or abuse as well as trends, patterns, and clusters that may indicate existing or emerging problems.
Detect and prevent fraud, waste, and abuse by identifying problem areas and patterns.
Analyze providers, eligibility, pharmacies, members, claims, and encounters for suspicious activities.
Validate identities, verify eligibility, and identify emerging fraud schemes.
Maximization and audit selection for unemployment insurance systems and state & local tax programs.
Pondera uses prediction algorithms and machine learning to predict, detect, and investigate fraud, waste, and abuse in healthcare and government programs.
Program data and 3rd party data are ingested and run through procedural and prediction models to detect previously known and unknown bad actors, schemes, and patterns.
Fully-integrated investigative case management imports cases from the fraud detection module or other sources and uses workflow and rules engines to route cases through your resolution process.
Pondera analyzes the fitness of your data specifically for its use in fraud detection analytics. This includes completeness, referential integrity, usability, and stability to identify specific problems in client and third-party source data.
Enable your team to protect your public benefits program from the risk associated with potentially fraudulent and improper payments with Thomson Reuters ID Risk Analytics.
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Our industry experts are happy to provide an in-person or web conference overview that is customized to your organization and your needs.
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