This file contains two, state-agnostic service blueprints that visualize how the new work requirements policy passed as part of H.R. 1 impacts the process of applying for, determining, and maintaining eligibility for SNAP and Medicaid benefits.
This 11x17 service blueprint visualizes every step, system, and policy decision involved in implementing Medicaid work requirements under H.R. 1—from application to renewal—identifying pain points, questions, and opportunities for states to streamline and humanize the process
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 memorandum summarizes the fiscal and programmatic impacts of Public Law 119-21 (H.R. 1 – “One Big Beautiful Bill”) on the state, detailing major provisions related to SNAP, Medicaid, higher education, taxation, and other federally funded programs.
This report provides an initial fiscal analysis of how H.R. 1 (the “One Big Beautiful Bill”) will affect the state’s federally funded programs across agencies, estimating multi-billion-dollar reductions in SNAP, Medicaid, education, and infrastructure revenues.
The GitHub repository for the open-source software and tools developed by the Digital Service at CMS to support modernizing healthcare systems and improving open-source project practices.
This publication explains current state integrated eligibility and enrollment (IEE) system implementation processes, approaches, and opportunities for future processes and technologies. It is a resource for state officials, advocates, funders, and tech partners working to implement these systems.
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.
The article analyzes the impacts of Arkansas's Medicaid work requirements, finding that while coverage losses were reversed after the policy was halted, it did not improve employment and led to negative consequences such as increased medical debt and delayed care.
Technology that automates different processes can save time for caseworkers and constituents, but it can also significantly reduce the transparency of government operations. This paper describes how Pennsylvania advocates addressed the low rate of automated Medicaid renewals.
