This report explores how state and local agencies can enhance customer service in health and human services by implementing technologies such as web-based tools, mobile applications, and call center innovations, aiming to streamline processes and improve client interactions.
This article discusses Code for America’s research into the user experience of applying or Medicaid, SNAP, TANF, WIC, and LIHEAP in the United States. They found that user experience applying for benefits programs varies greatly by (and often within) each state.
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.
This page includes data and observations about account creation and identity proofing steps specifically for online applications that include MAGI Medicaid.
This Urban Institute report explores the impact of benefit cliffs, plateaus, and trade-offs on families receiving public assistance, examining how changes in earnings affect access to essential benefits like SNAP, Medicaid, and housing subsidies.
Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for New York's online application for Medicaid.
USDS partnered with CMCS and state Medicaid agencies to improve eligibility and enrollment systems after the COVID-19 Public Health Emergency ended, focusing on health coverage renewals.
This event convened policy experts and state leaders to explore how states can operationalize new Medicaid work reporting mandates—covering technical, legal, and implementation challenges.
Sharing lessons learned via the Medicaid Churn Learning Collaborative, which is working to reduce Medicaid churn, improve renewal processes for administrators, and protect health insurance coverage for children and families.
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
