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.
A research report examining how privacy and security risks are unevenly experienced across socioeconomic, racial, and ethnic groups, and how digital inequality shapes people’s exposure to harm and access to protective resources.
This report outlines how the New Jersey Department of Human Services’ Division of Family Development (DFD) and the Department of Health (NJDOH) are increasing SNAP & WIC co-enrollment through data sharing, outreach, and systems integration.
American Public Human Services Association (APHSA)
The report highlights that many eligible low-income children are not receiving WIC benefits during the COVID-19 pandemic, with participation rates varying significantly by state and lagging behind programs like Medicaid and SNAP.
Monthly SNAP participation data for the United States and every state, from October 1988 through the latest month published by USDA Food and Nutrition Service (generally a 3-month lag).
Louisiana issued an RFI to identify solutions that can provide a technology platform for determining eligibility and managing cases across multiple human services programs.
The New York State Office of Information Technology established guidelines for the acceptable and responsible use of Artificial Intelligence technologies by state entities.
New York State Office of Information Technology Services
