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This Government Contract opportunity from Texas was posted on August 11, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Medicaid Improper Payment Data Analytics

Closed
State & Local

Contract Overview

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This subcontract for the Texas Health and Human Services Commission focuses on providing data mining and analytical tools to support prime contractors on Medicaid projects. The primary objective is to develop detection methodologies that analyze Fee-for-Service and Managed Care Organization claims data to identify systemic overpayments or underpayments, resulting in the delivery of data-driven lists of suspected improper payments. The project requires strict adherence to HIPAA compliance for processing large-scale healthcare datasets and mandates TRAMP certification. Classified under NAICS code 541511, the opportunity was posted on August 11, 2026, with a response deadline of September 9, 2026.

General Info

Subcontract for Texas HHSC providing data mining tools to identify Medicaid improper payments.

Agency

Texas → Health and Human Services Commission

Place of Performance

TX, USA

Set-Aside

NONE

Documents

This scope was carved out of HHS0017023.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

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Recovery Audit Contractor Services

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyTexas → Health and Human Services Commission
ContactsNo contacts available
OfficeN/A
Organization / Agency
Texas → Health and Human Services Commission
Office AddressN/A
ContactsNo contact information available

Full Description

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Supplies data mining and analytical tools for prime contractors on Texas Health and Human Services Commission (HHSC) Medicaid projects. Develops detection methodologies to analyze FFS and MCO claims data for systemic underpayments or overpayments. Requires TRAMP certification and HIPAA compliance for large-scale healthcare dataset processing. Delivers data-driven lists of suspected improper payments.

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Miguel
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Keith Deutsch
Christine

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