This academic paper examines predictive optimization, a category of decision-making algorithms that use machine learning (ML) to predict future outcomes of interest about individuals. Through this examination, the authors explore how predictive optimization can raise concerns that make its use illegitimate and challenge claims about predictive optimization's accuracy, efficiency, and fairness.
This webinar presentation outlines the essential communication requirements and outreach standards for states preparing for Medicaid work reporting mandates starting in 2027.
This milestone table outlines a detailed roadmap for states to implement mandatory Medicaid work reporting requirements under H.R. 1 by January 1, 2027.
This communications workplan provides a strategic framework for state Medicaid agencies to manage outreach and engagement ahead of the January 2027 implementation of Medicaid work reporting requirements.
This report outlines the foundational requirements and policy choices that states must consider as they prepare to implement mandatory Medicaid work reporting under H.R. 1.
This issue brief provides a comprehensive framework for state officials to monitor and evaluate the far-reaching impacts of the H.R.1 budget reconciliation bill on the Medicaid program.
This report provides detailed guidance for states on how to verify compliance with and exemptions from Medicaid work reporting requirements established under H.R. 1.
A summary of the initial CMS guidance (CMCS informational bulletin) on how states should implement Medicaid work reporting requirements under H.R. 1, clarifying high-level expectations and key technical points.
