A case study documenting how a human-centered claimant portal was developed for the New Jersey Department of Labor (NJDOL) to modernize unemployment insurance access using agile development and API technology.
This event convened policy experts and state leaders to explore how states can operationalize new Medicaid work reporting mandates—covering technical, legal, and implementation challenges.
This presentation, from the Data Sharing Working Group, highlights a Michigan Department of Health and Human Services and Benefits Data Trust project to increase enrollment in the Women, Infants, and Children (WIC) program.
This issue brief describes the Pennsylvania case study, outlines the historical context, and offers strategies and recommendations for successfully implementing Fast Track.
The report examines how current remote identity proofing methods can create barriers to Medicaid enrollment and suggests improvements to ensure equitable access for all applicants.
This webinar session discusses the importance of using CX metrics to guide agency-level decisions and how to gather, analyze, and apply customer feedback to optimize products and services.
This report explains how states can continue to voluntarily implement key Medicaid and CHIP eligibility and enrollment improvements—originally required by two federal rules—despite a ten-year moratorium enacted in July 2025 that blocks their mandatory enforcement
This publication explains current state integrated eligibility and enrollment (IEE) system implementation processes, approaches, and opportunities for future processes and technologies. It is a resource for state officials, advocates, funders, and tech partners working to implement these systems.
In response to COVID-19, the Workers Lab and Steady developed the "Income Passport" to streamline gig workers' unemployment benefit applications by pulling income data directly from gig platforms and financial accounts. This tool reduced manual verification time, helped prevent fraud, and improved workers' access to full benefits, with successful tests in Alabama and Louisiana demonstrating significant time savings and improved service delivery.
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)
