As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing strategies for states to collect current mailing addresses of Medicaid beneficiaries in advance of the Medicaid continuous coverage requirement — in effect under the federal public health emergency — unwinding.
This resource provides examples and practical guides that explain how to use existing regulations and data sharing agreements to transfer client information or eligibility status between benefit programs.
Practitioner Picks is a quarterly series designed to add fresh resources to the Digital Government Hub’s library, helping people improve government digital service delivery. Each issue spotlights resources chosen by practitioners in a specific service delivery area along with their insights on why these picks are valuable additions to the Hub.
A public sector job posting for Maryland’s Director of Digital Services role, focused on building and leading user-centered digital systems for the state’s new paid family and medical leave program.
A New Jersey legislative bill establishing the New Jersey Innovation Authority to institutionalize digital modernization, service design, and technology innovation across state government.
This brief provides a framework for states to align and coordinate work requirement implementation across SNAP and Medicaid following the passage of H.R. 1.
This blog post serves as a guide for state agencies to develop flexible and actionable metrics systems for tracking the implementation and impact of new work requirements under H.R. 1.
This technical brief uses predictive analytics to identify the primary drivers of SNAP payment error rates (PER) following the implementation of the One Big Beautiful Bill (OBBB).
This discussion paper advocates for states to use the implementation of OBBBA (One Big Beautiful Bill Act) as a catalyst to build integrated, cross-agency data systems.
An A11y Jam session on how state agencies prioritize and manage digital accessibility compliance across complex systems using data-driven strategies and cross-agency coordination.
