PL 005.pdf

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MEDICAID CLINICAL DATA EXCHANGE
Solicitation number
5400030026
Issued by
Richland County, South Carolina

About this file

This is a Request for Proposal issued by the South Carolina Department of Health and Human Services for a Medicaid Clinical Data Exchange system designed to capture and route admission, discharge, and transfer (ADT) events and bed status data from acute care hospitals and licensed facilities to five contracted Managed Care Organizations and SCDHHS. The system will provide comprehensive dashboards and reporting for care coordination and quality monitoring, manage provider enrollment and credentialing, and deliver help desk support and system change management. A non-mandatory pre-proposal conference is scheduled for August 21, 2026 at 10:00 AM EST via Microsoft Teams, with questions due by August 25, 2026 at 12:00 PM EST. Proposals are due October 15, 2026, with an anticipated award date of February 23, 2027. The contract term begins March 5, 2027 and extends through March 4, 2034, comprising a four-year base period plus three optional one-year renewals. The implementation period is approximately one year, followed by six years of operations and maintenance. All work must be performed within the United States with no offshore contracting permitted.

Pricing is structured as fixed-price with separate cost components for implementation, ADT operations calculated per member monthly plus onboarding costs, Bed Status operations at a fixed monthly cost, and a modification pool capped at $2.5 million for SCDHHS-approved scope changes. Vendors must submit a rate card identifying hourly rates for various roles to support potential scope changes and handle monthly data quality reporting for an estimated 438,968 members across contract years. Contractors must identify key personnel by name, including Account Manager, Project Manager, Operations Manager, Deployment Manager, Functional Leads, and Technical/Test Managers. Offerors must complete a Service Provider Security Assessment Questionnaire, obtain a state vendor number, comply with mandatory certifications including debarment and drug-free workplace attestations, and disclose organizational conflicts of interest. AI/ML solutions must comply with NIST AI Risk Management Framework with full disclosure of all AI/ML uses, human review and override capabilities for decisions affecting eligibility or benefits, and prohibition on using SCDHHS Protected Health Information for model training without written authorization. Award will be made to the single most responsive and responsible offeror based on evaluation criteria emphasizing technical proposal factors and price.

View the file

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