When people hit the moment in the HealthCare.gov sign-up process where they need in-person help, they’re likely frustrated and at risk of abandoning the process altogether. To help, Ad Hoc designers on the Centers for Medicare & Medicaid Services (CMS) Find Local Help team extensively researched user pain points and used human-centered design to create a tool that respects the stress users may experience and delivers the information they need as quickly and simply as possible.
This Urban Institute report examines how public investments in children's health, education, and welfare yield significant short- and long-term benefits for both individuals and society.
Closing the Medicaid coverage gap could significantly reduce healthcare disparities as 65% of those affected are people of color, specifically impacting low-wage workers and caregivers who often experience economic and health vulnerabilities.
The team introduced an AI assistant for benefits navigators to streamline the process and improve outcomes by quickly assessing client eligibility for benefits programs.
Louisiana issued an RFI to identify solutions that can provide a technology platform for determining eligibility and managing cases across multiple human services programs.
This report provides human-centered design templates and implementation guidance to help states integrate Medicaid work requirement questions into benefits applications while minimizing administrative burden and coverage loss.
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to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
ACCESS NYC is an online public screening tool that residents can use to determine the City, State, and Federal health and human service benefit programs for which they are eligible.
The Better Government Lab at the McCourt School of Public Policy at Georgetown University has developed a new scale for measuring the experience of burden when accessing public benefits. They offer both a three-item scale and a single-item scale, which can be utilized for any public benefit program. The shorter scales provide a less burdensome way to measure by requiring less information from users.
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing policy options and state examples for Medicaid administrators to reduce churn for non-MAGI Medicaid enrollees when the federal public health emergency ends.
