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

Resource to explore and compare state-by-state data on eligibility processing, payment accuracy, and policy options

Conversation sharing drivers and targeted interventions to reduce SNAP Payment Error Rates, drawing on six months of hands-on research with Arizona, North Carolina, and Maryland

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

CMS is offering states an open source, consent-based verification tool to streamline implementation of the Medicaid work requirement. This supports income verification for non-traditional workers, allows applicant review, and enables flexible system integration. Emmy API will also provide a single point of access for relevant data sources.

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 free resource that focuses on strategies that states can test immediately to reduce PER and lessen the burden on frontline eligibility workers

Describes approaches states will take toward implementation, highlights considerations for evaluating vendors, and provides detailed descriptions of vendor products across categories (based on product demos and conversations with vendors)

Outlines strategies to reduce coverage losses including minimizing administrative and applicant burden, streamlining verification processes, creating accessible and user-friendly forms and portals, and strengthening communication and outreach efforts.