In this video, Susan S. Gibson, chair of the Pandemic Response Accountability Committee's (PRAC) Identity Fraud and Redress Working Group, speaks with Jeremy Grant of the Better Identity Coalition, about the challenges of identity fraud for benefits program during the COVID-19 pandemic.
This study evaluates the use of RPA technology by three states to automate SNAP administration, focusing on repetitive tasks previously performed manually.
The COVID Response Project was funded by the W.K. Kellogg Foundation to document the real-time impacts of the COVID-19 pandemic on state human services agencies and capture state perspectives on lessons learned to guide future federal policymaking and state implementation. The project was completed by the American Public Human Services Association (APHSA) in partnership with the U.S. Department of Health and Human Services, Administration for Children and Families (ACF), Office of Regional Operations. Insights from the report reflect information obtained through APHSA’s on-going support of state human services agencies’ COVID-19 response efforts as well as a series of in-depth interviews with executive leadership of the 14 state health and human services agencies in ACF’s Region 1 (New England) and Region 4 (Southeast) areas.
American Public Human Services Association (APHSA)
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.
Policy changes are often dynamic and occur quickly, but they can only create impact once implemented. The Eligibility APIs Initiative at 18F shares an example from their work that shows the potential for rapid, accurate policy implementation as code.
The Better Government Lab at the McCourt School of Public Policy at Georgetown University has developed a new scale for measuring the experience of burden when accessing public benefits. They offer both a three-item scale and a single-item scale, which can be utilized for any public benefit program. The shorter scales provide a less burdensome way to measure by requiring less information from users.
Companies have been developing and using artificial intelligence (AI) for decades. But we've seen exponential growth since OpenAI released their version of a large language model (LLM), ChatGPT, in 2022. Open-source versions of these tools can help agencies optimize their processes and surpass current levels of data analysis, all in a secure environment that won’t risk exposing sensitive information.
A guide from the General Service Administration to help government decision makers clearly see what AI means for their agencies and how to invest and build AI capabilities.
In this panel conversation, presenters at the Better Identity Coalition’s 2022 policy forum “Identity, Authentication, and the Road Ahead” discuss the challenges of identity verification and access in pandemic unemployment benefits.
This brief shares findings from a November 2021 survey of state SNAP agencies about their use of the SNAP ARPA funds in fiscal year 2021, and their initial planned activities for fiscal year 2022 and 2023.
American Public Human Services Association (APHSA)
Testing (and re-testing) your designs with users will help you build the best possible product. Our Validate Methods cover varied testing scenarios and potential user groups.
