This page includes data and observations about authentication and identity proofing steps specifically for online applications that include MAGI Medicaid.
This report outlines a dozen fintech and civic tech organizations working across fourteen safety net programs to show what’s possible when modern technology is married to a consumer insights perspective.
ACCESS NYC aims to increase the accessibility and convenience of discovering and enrolling in government benefits. These patterns support this work by defining the UI and behavior that New Yorkers experience as they use the site.
The ubiquity of mobile devices makes it imperative to build “mobile first” services, i.e. services built with the expectation that they will primarily be accessed on mobile devices. This article also outlines important considerations and suggestions for implementing mobile-first user interfaces.
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
Learn how to use generative AI to quickly create unemployment insurance translations that are accurate, easy to understand, and tailored to your state.
This article examines how Chile’s SUSESO is balancing cost-focused procurement criteria with ethical AI concerns in its medical claims automation process.
A webinar presenting fresh data on how young adults aged 22 are faring in terms of poverty, employment, education, living arrangements, and access to public benefits.
