Resources and Toolkits
Risk Assessment Tools
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
SNAP PER Analytics Workgroup
Workshop examining how predictive analytics and risk scoring can improve SNAP implementation and evaluation, using Conneticut as a case study.
Implementing Medical Frailty Exemptions Under HR 1: Clinical Considerations From Medicaid Medical Directors
JAMA Health Forum Viewpoint article examining how states can implement the Medicaid “medical frailty” exemptions under HR 1’s new work reporting requirements with recommendations for states to use flexible, clinically driven standards, multiple data sources, and priortize transparency to identify such individuals and prevent harmful coverage disruptions.
Predictive Analytics for SNAP PER Reduction QC Data Workshop Summary
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.
Data and Analytic Approaches for Medical Frailty Exemptions
Resource outlining data and analytic approaches to support states through the technology implementation and integration process for Medicaid work requirements, with a focus on medical frailty exemptions.
Is This Working? Data-Driven Strategies to Reduce SNAP Payment Error Rates
States can act to reduce their SNAP PERs but must move quickly for their efforts to impact their share of program costs in 2027.