ATTM 008 QUESTIONS TEMPLATE.xlsx

This is a Questions Template document for the South Carolina Department of Health and Human Services (SCDHHS) RFP 5400029919 for Non-Emergency Medical Transportation (NEMT) Coordinator Services statewide. The SCDHHS is soliciting proposals to provide comprehensive NEMT administration for eligible Healthy Connections Medicaid members, encompassing member eligibility verification, transportation provider network development and credentialing, scheduling and dispatching, prior authorization, and complaints management. The RFP requires a pre-proposal conference on July 20, 2026, at 10:30 a.m. EST via Microsoft Teams, with written questions due by July 22, 2026, at 5:00 p.m. EST. Proposals are due September 14, 2026, at 11:00 p.m. EST, with contract award anticipated on November 19, 2026. The initial contract term runs from December 3, 2026, through December 2, 2031, with two optional one-year renewals available, comprising a potential five-year period.

The contract reflects a transition from a fee-for-service broker model to a risk-based capitated payment structure, with offerors required to acknowledge acceptance of capitation rates and reimbursement methodology on a pass/fail basis. Mandatory minimum qualifications require five years of NEMT experience operating a program of similar size and scope with successful prior implementation in a state environment. Historical service volumes total approximately 3.8 million rides annually, with the call center handling 594,282 calls in fiscal 2024-2025. The contractor must maintain Monday through Friday operations from 8:00 a.m. to 6:00 p.m. Eastern Time with 24-hour toll-free contact center staffing and meet performance standards including 90% on-time arrival and 0.2% maximum missed trips. Evaluation will assign 1,000 points to technical approach, 250 points to qualifications, and 200 points to demonstrations for up to three highest-ranking offerors. All offerors must complete a mandatory Service Provider Security Assessment Questionnaire establishing compliance with NIST AI Risk Management Framework standards, including full disclosure of any AI/ML components and documented bias, fairness, and impact assessments.