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This Government Contract opportunity from Indiana was posted on April 30, 2025. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Fraud Detection Software Development & Customization

Closed
State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The Indiana Family and Social Services Administration is seeking a subcontractor for the design and development of custom software modules focused on detecting Medicaid fraud, abuse, and overbilling patterns. This project requires the implementation of advanced artificial intelligence, machine learning, and statistical modeling to identify irregularities and ensure the integrity of Medicaid billing. The opportunity is categorized under NAICS code 541511 for custom computer programming services. Interested parties must submit their responses by the deadline of July 11, 2025, with further procurement details available through the Indiana Department of Administration.

General Info

Subcontractor needed for AI-driven Medicaid fraud detection software by July 11, 2025.

Agency

Indiana Family and Social Services Administration

Place of Performance

IN, USA

Set-Aside

NONE

Documents

This scope was carved out of 0000083592.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

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Medicaid Fraud and Abuse and Detection SystemBid Documents

AI Contract Breakdown

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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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AgencyIndiana Family and Social Services Administration
ContactsNo contacts available
OfficeN/A
Organization / Agency
Indiana Family and Social Services Administration
Office AddressN/A
ContactsNo contact information available

Full Description

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Design and develop custom software modules using AI/ML and statistical modeling to detect Medicaid fraud, abuse, and overbilling patterns.

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