Benefits Data Trust (BDT), in collaboration with the Center for Health Care Strategies (CHCS), conducted a nationwide analysis of how states coordinate across Medicaid and SNAP programs to streamline access to benefits.
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing policy options and state examples for Medicaid administrators to reduce churn for non-MAGI Medicaid enrollees when the federal public health emergency ends.
This research brief summarizes the ideas and recommendations from sessions with dozens of cross-sector stakeholders within the technology ecosystem to identify conditions for better, healthier, more secure digital ecosystems that could help guide the next generation of open protocols and platforms.
The toolkit provides strategies for state and local WIC agencies to enhance enrollment by utilizing data from Medicaid and SNAP for cross-program data matching and targeted outreach.
The New Mexico Human Services Department and Department of Health, as part of the Coordinating SNAP & Nutrition Supports program, leveraged data sharing to align SNAP, Medicaid, TANF, and WIC.
American Public Human Services Association (APHSA)
This case study examines how Michigan’s Department of Health and Human Services uses data practices to advance racial equity in child welfare through identity-informed data collection and anonymous decision-making.
U.S. Department of Health and Human Services (HHS)
This guide provides practical financing strategies for governments to build, maintain, and expand integrated data systems (IDS) and evaluation capacity using federal and non-federal funding sources.
This one-pager introduces Iowa’s Child Care Data Dashboards, which provide near real-time insights into child care supply, demand, and vacancies to support data-informed planning across the state.
