This report poses the question of whether states are prepared to meet the new Medicaid work reporting and renewal mandates introduced by HR 1, given ongoing strain from the post-pandemic “unwinding.”
This report outlines the foundational requirements and policy choices that states must consider as they prepare to implement mandatory Medicaid work reporting under H.R. 1.
This blog introduces Code for America’s new service blueprint for Medicaid work requirements, highlighting how it can help states map system changes, identify pain points, and prioritize human-centered design.
This toolkit provides guidance to help states implement Medicaid Advisory Committees (MACs) and Beneficiary Advisory Councils (BACs) in accordance with new federal requirements designed to strengthen beneficiary input in Medicaid program oversight.
This resource examines the role of Medicaid in West Virginia and documents how the post-pandemic Medicaid “unwinding” process affected residents, highlighting participant experiences and the program’s importance for health and economic stability.
This technical guide provides a framework for state agencies to minimize procedural terminations and health coverage losses resulting from new Medicaid work reporting requirements.
This discussion paper advocates for states to use the implementation of OBBBA (One Big Beautiful Bill Act) as a catalyst to build integrated, cross-agency data systems.
Based on user interviews with families across the United States who navigated the Medicaid renewal process, this report offers insights and recommendations for improving the experience of renewing Medicaid and other benefits.
In this report, the U.S. Chamber of Commerce Foundation examines benefits cliffs – the loss of eligibility for public safety-net programs and benefits they provide as income rises above eligibility limits.
The team developed an AI-powered explanation feature that effectively translates complex, multi-program policy calculations into clear and accessible explanations, enabling users to explore "what-if" scenarios and understand key factors influencing benefit amounts and eligibility thresholds.
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
