This report examines how implementing Asset Verification Systems (AVS) can streamline Medicaid eligibility determinations for seniors and individuals with disabilities by automating the verification of applicants' financial assets.
This report explores how AI is currently used, and how it might be used in the future, to support administrative actions that agency staff complete when processing customers’ SNAP cases. In addition to desk and primary research, this brief was informed by input from APHSA’s wide network of state, county, and city members and national partners in the human services and related sectors.
American Public Human Services Association (APHSA)
Public procurement in state governments can be slow and inefficient, but artificial intelligence (AI) offers a solution by automating tasks, improving decision-making, and addressing workforce gaps, as highlighted in a joint brief by NASCIO and NASPO.
National Association of State Chief Information Officers (NASCIO)
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
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 report analyzes how proposed state cost-sharing requirements for SNAP would impact benefit access and poverty during a recession, projecting significant risks to low-income households if states are unable to maintain SNAP funding.
