aceClosing the Health Policy Implementation Gap With Artificial Intelligence
Health care policies often fail to achieve their goals due to implementation challenges attributable to workforce constraints, fragmented health information systems, and administrative complexity. This Special Communication proposes a framework for how artificial intelligence (AI) tools could support effective health care policy implementation, using the implementation of Medicaid work requirements under the Budget Reconciliation Act of 2025 as an example. Opportunities for AI-augmented health care policy implem…
AI-augmented implementation could help execute Medicaid work requirement processes and facilitate enrollment among eligible individuals, limiting unintended coverage loss.
Potential benefits remain unproven and depend on overcoming data availability constraints and AI limitations like hallucinations, with risk of harm if not rigorously evaluated.
Evidence
- Peer-reviewedJAMA Health Forum2026-08-07
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Truvace Impact Record TRV-2026-0685, v1: “Closing the Health Policy Implementation Gap With Artificial Intelligence.” Truvace, 2026-08-08. /record/TRV-2026-0685 (accessed at citation time). sha256 0e874c345e899e5a…
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