Resources and Toolkits

Video outlining best practices for states to improve their risk assessment and error detection processes, including model design, review sequencing, feature engineering, review process optimization, and quick wins

Workshop examining how predictive analytics and risk scoring can improve SNAP implementation and evaluation, using Conneticut as a case study.

Interactive tracker to evaluate how prepared states are to implement the Medicaid administrative changes required under H.R. 1, using performance indicators like application processing, call center performance, and disenrollment data. The tool highlights potential risks states may face in maintaining access amid implementation.

Workshop to foster collaboration and share modeling practices among state agencies in response to HR1’s new SNAP PER cost share requirements. Gathering encompassed convened a group of nearly 40 research and data analytics staff from across 15 states involved in SNAP QC data modeling.

A CMS-developed suite of open-source tools that streamlines income and community engagement reporting for Medicaid applicants and enrollees

States can act to reduce their SNAP PERs but must move quickly for their efforts to impact their share of program costs in 2027.