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.
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.
A New Tool for Implementing Medicaid Work Requirements
User-tested application templates and resources for Medicaid work requirements
Open Source Software Tool (OSCER) for Medicaid Work Requirements
Open-source community engagement reporting (OSCER) tool enables states to achieve work requirements compliance automatically using client and ex parte data, or otherwise provide link for manual certification or exemption application. Provides staff with case management and reporting tools, and sends results to state Medicaid agencies for issuance or disenrollment.
Human-Centered Work Requirements for Medicaid
Evidence-based recommendations for states to optimize implementation of work requirements include: integrating compliance and exemption information and reporting into a single streamlined process, designing clear and actionable notices, utilizing text communications, and building mobile-friendly platforms.