The team explored the performance of various AI chatbots and LLMs in supporting the adoption of Rules as Code for SNAP and Medicaid policies using policy data from Georgia and Oklahoma.
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
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to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
Governor Kathy Hochul announced a new client feedback initiative in partnership with Code for America to improve New York's WIC program by implementing live online chat to gather input from participants, streamline enrollment, and increase access to healthy food for eligible families.
The New York State WIC program website provides access to nutritious foods, nutrition education, breastfeeding/chestfeeding support, and referrals to eligible pregnant, breastfeeding, and postpartum individuals, infants, and children up to age five.
The report examines how states are using Medicaid Section 1115 demonstration projects to address health-related social needs, such as housing and nutrition, for pregnant and postpartum individuals and young children to improve health outcomes and reduce disparities.
The article examines the impact of digital interfaces on welfare state administration, focusing on the UK's Universal Credit system and the design elements that shape user interactions and behavior in an "interface first" bureaucracy.
In this summary, the authors use WBNS data to provide updated estimates of chilling effects in 2023 among immigrant families (i.e., in which the respondent or a family member living with them was not born in the US).
