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 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.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
This is a modular, dynamic roadmap guides the U.S. HHS's ongoing implementation of open data policies while inviting public collaboration and feedback.
U.S. Department of Health and Human Services (HHS)
This report examines how recent federal spending cuts and policy changes are shifting costs onto county governments, potentially burdening local budgets and services.
This guide explains how states can implement new Medicaid work requirements introduced by H.R. 1, focusing on minimizing harm to eligible clients while preparing for compliance by 2027.
