This article explores innovative strategies to improve access to public benefits by reducing administrative barriers and leveraging technology for a more user-friendly experience.
The 2021 President’s Management Agenda identified federal customer experience as a priority area for improvement. GAO was asked to review OMB and selected federal agencies’ efforts to improve federal customer experience.
Digitizing public benefits policy will make the biggest impact for administrators and Americans, but only if it happens at the highest level of government.
This landscape analysis examines data, design, technology, and innovation-enabled approaches that make it easier for eligible people to enroll in, and receive, federally-funded social safety net benefits, with a focus on the earliest adaptations during the COVID-19 pandemic.
This report outlines the guiding principles, policy priorities, and tools for the National Collaborative for Integration of Health and Human Services, aimed at improving health and well-being outcomes through the integration of health care and human services programs.
American Public Human Services Association (APHSA)
The New Jersey Department of Human Services and New Jersey Department of Health collaborated in their Coordinating SNAP & Nutrition Supports project to enhance the enrollment and coordination of SNAP and WIC programs.
American Public Human Services Association (APHSA)
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.
