Healthcare Mechanisms from Policy-as-Code Search under Strategic Provider Response
Applying LLM-guided program synthesis to navigate strategic provider responses and optimize healthcare incentive design.
Healthcare mechanisms are inseparable from the strategic provider response they induce: existing healthcare AI benchmarks hold this response fixed and so cannot evaluate mechanisms by the equilibrium they produce. We recast hospital mechanism design as program synthesis for langu...
ArXiv CS.AI
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By integrating multi-agent simulation with policy-as-code, researchers have created a framework that finally accounts for how healthcare providers strategically adapt to incentive structures. This approach moves beyond static benchmarks, allowing AI to synthesize robust regulatory policies that mitigate unethical behaviors like up-coding and patient selection.
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