A detailed guide outlining how states can minimize coverage losses and administrative burden while implementing new Medicaid work requirements established under the 2025 federal reconciliation law.
An in-depth report that examines how states use automated eligibility algorithms for home and community-based services (HCBS) under Medicaid and assesses their implications for access and fairness.
A policy guidance document outlining practical steps states can take to reduce harm to immigrant communities following major Medicaid eligibility restrictions enacted under federal budget reconciliation legislation.
This resource provides state agencies and their implementation partners with context on how and why to conduct a Digital Identity Risk Management (DIRM) process, as well as a new spreadsheet-based tool to guide agency teams through the process.
While most states provide basic digital accessibility, this review warns that persistent gaps in language services and disability accommodations create significant barriers for enrollees as pandemic-era Medicaid protections expire.
This product validation summary deck explores federal opportunities to automate cross-program enrollment proofs and reduce manual verification burdens.
This report provides human-centered design templates and implementation guidance to help states integrate Medicaid work requirement questions into benefits applications while minimizing administrative burden and coverage loss.
This folder contains Medicaid work requirement implementation toolkit, including policy guidance, application templates, question libraries, and a digital prototype designed to help states integrate work requirement questions into Medicaid applications.
This blog post serves as a guide for state agencies to develop flexible and actionable metrics systems for tracking the implementation and impact of new work requirements under H.R. 1.
The article examines the effects of Arkansas’s Medicaid work requirements, finding substantial coverage losses and no significant increase in employment, compounded by widespread confusion among beneficiaries about the policy.
The Digital Benefits Network at the Beeck Center for Social Impact + Innovation at Georgetown University and Public Policy Lab co-hosted a webinar presenting breaking research on beneficiary experiences with digital identity processes in public benefits.
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
