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
These 5 Million People Are About to Lose Their Medicaid — But They Don’t Have To
Tools for data-driven understanding Medicaid work requirements, including information about who’s at risk, automatic verification pathways, ex parte capability by state, coverage loss, and maps
Introducing Our User Experience Guide for Medicaid Work Requirements
Guide about the member-facing side of implementation, and why user experience is just as important as what happens on the backend
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.
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.