Closing the Health Policy Implementation Gap With Artificial Intelligence

AI-augmented health care policy implementation has the potential to meaningfully limit unintended consequences from implementation of Medicaid work requirements. Rigorous evaluation of state-led innovations in AI-augmented implementation of Medicaid work requirements is key to advancing effective approaches and mitigating the potential for harm. The federal government should support state efforts with AI expertise, data infrastructure, and partnerships with preferred vendors who demonstrate that their AI-augmented digital assistants and other AI tools effectively facilitate Medicaid enrollment among eligible individuals.

Corresponding Author: Emma E. McGinty, PhD, MS, Division of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, 575 Lexington Ave, New York, NY 10022 (emm4010@med.cornell.edu).

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