This report provides an early 2025 snapshot of state Medicaid and CHIP policies as they return to normal operations post‑pandemic, focusing on eligibility, enrollment, and renewal processes.
This article highlights how state unemployment insurance (UI) agencies are leveraging data to modernize systems and enhance access for unemployed workers.
This report outlines state Medicaid program priorities, including expanding access to services, addressing health disparities, and implementing cost-containment measures amid post-pandemic uncertainties.
This page includes data and observations about account creation and identity proofing steps specifically for online applications that include MAGI Medicaid.
This study found that using state-specific names for Medicaid programs increased confusion and reduced both positive and negative opinions about the program.
This publication shares ten ways states can improve start-to-finish customer experience for unemployment insurance claimants. These approaches can increase overall equitable access and system integrity for UI administration.
This report explores innovative solutions and insights from CMS Innovation Center's Hackathon series to address the unique healthcare challenges faced by rural, Tribal, and geographically isolated communities.
The team conducted experiments to determine whether clients would be responsive to proactive support offered by a chatbot, and identify the ideal timing of the intervention.
This paper discusses the country’s chronic underinvestment in children and resulting outcomes, including new data on poverty rates among young children, is inextricable from the prospects of young children; and the remarkably comprehensive pandemic-era response policies, including which changes contributed most to reducing child poverty.
The Temporary Assistance for Needy Families (TANF) Data Collaborative Pilot Initiative is a component of the TANF Data Innovation project. The 30-month pilot offered technical assistance and training to support cross-disciplinary teams of staff at eight state and county TANF programs in the routine use of TANF and other administrative data to inform policy and practice.
