Implementing the Social Need Screening and Intervention (SNS‑E) HEDIS® measure requires more than selecting an approved screening tool—it demands operational accountability, audit‑ready documentation and effective follow‑through on identified needs. This session presents a real‑world case study of how Kentucky Medicaid managed care organizations partnered with a full‑risk provider to operationalize SNS‑E at scale by aligning financial accountability, care delivery and quality strategy.

Attendees will learn how shared risk arrangements enabled disciplined workflows for screening, intervention, documentation and supplemental data reporting. The session highlights how non‑traditional care delivery models—including community‑based and street‑level engagement—supported reach into populations often missed by clinic‑based approaches while maintaining fidelity to HEDIS requirements.

Speakers will walk through the operational design behind closed‑loop interventions, standardized reporting, and data exchange processes that allowed plans to confidently incorporate supplemental data into HEDIS and audit workflows. This session offers practical insights for Medicaid quality, population health and accreditation leaders seeking to move SNS‑E from a compliance exercise to a measurable driver of quality performance, health equity and value‑based care outcomes.

Learning Objectives:

• Explain the operational requirements for achieving SNS‑E HEDIS® measure compliance, including the use of NCQA‑approved screening instruments, numerator‑qualifying interventions and documentation standards necessary to support audit validation.
• Evaluate how shared‑risk payer–provider arrangements support closed‑loop SNS‑E workflows, including intervention accountability, supplemental data capture and standardized data submission for incorporation into HEDIS reporting and audit processes.
• Assess the impact of non‑traditional, community‑based engagement models on SNS‑E measure performance, member reach and health equity outcomes, with specific attention to populations not reliably captured through clinic‑based screening workflows.