Medicaid and SNAP have reduced racial and ethnic disparities in healthcare access and food security, but some administrative and eligibility policies continue to create inequitable barriers.
The Center on Budget and Policy Priorities (CBPP) report discusses how reducing administrative burdens in Medicaid can enhance health outcomes and promote racial equity.
The ubiquity of mobile devices makes it imperative to build “mobile first” services, i.e. services built with the expectation that they will primarily be accessed on mobile devices. This article also outlines important considerations and suggestions for implementing mobile-first user interfaces.
The Performance.gov team hosted a webinar featuring federal customer experience (CX) changemakers from across government and focused on the nine CX projects that aim to address pain points learned about through human-centered design research.
CMS has identified a number of immediate and longer-term strategies that states can implement to improve application processing timeframes and address application backlogs.
This report by EPIC investigates how automated decision-making (ADM) systems are used across Washington, D.C.’s public services and the resulting impacts on equity, privacy, and access to benefits.
This strategy identifies ambitious and achievable actions the Biden-Harris Administration will pursue across five pillars: 1. Improving food access and affordability 2. Integrating nutrition and health 3. Empowering all consumers to make and have access to healthy choices 4. Supporting physical activity for all 5. Enhancing nutrition and food security research
This presentation explores the balance between security and user experience in digital benefit account creation and authentication, highlighting insights from a forthcoming playbook focused on SNAP and Medicaid portals.
The team introduced "Policy Pulse," a tool to help policy analysts understand laws and regulations better by comparing current policies with their original goals to identify implementation issues.
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.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
This timeline outlines key Medicaid policy changes introduced by the One Big Beautiful Bill (OBBBA / H.R. 1) with the greatest operational impact on state and territory agencies and highlights upcoming implementation deadlines.
