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The future of algorithmic nondiscrimination compliance in the affordable care act
William G La Cava1,2, I Glenn Cohen3,4, Jaya Aysola5,6,7
1Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA. william.lacava@childrens.harvard.edu.
Abstract:
A new Section 1557 rule bans discrimination by AI-based clinical decision tools, with compliance required by May 2025. This paper explores challenges in identifying and mitigating algorithmic bias, especially where outcome disparities exist. We emphasize the need to audit high-risk tools, address proxy discrimination, and provide standardized guidance. Political uncertainty around enforcement complicates long-term planning, making expanded regulatory support essential for health systems and developers alike.
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