International Journal For Multidisciplinary Research

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AI Equity in 340B Drugs

Author(s) Vivek Yadav
Country United States
Abstract The 340B Drug Pricing Program is an important factor that enables safety-net hospitals to provide access to essential and specialty medications at reasonable prices through reduced pricing and data-based reimbursement systems. Artificial intelligence (AI) has been used increasingly in the areas of healthcare finance, inventory management, and supply chain automation; however, many existing models are revenue-optimized, in that they focus on achieving financial performance before offering equitable access. This has contributed to increased disparities, specialty drug concentrations, and algorithmic bias against underserved populations as a result of using AI in these areas. This paper proposes a new RLHF (reinforcement learning with human feedback) AI supply chain framework that shifts the focus of optimization from merely maximizing revenue to equity-based distributions and ethical governance of the 340B ecosystem. The proposed framework relies on structured human feedback from medical ethics boards, safety-net pharmacists, and regulatory compliance officers to continually refine reward functions of AI by means of ethical preference of learning and integration of regulatory compliance. The system relies on human-in-the-loop reinforcement as the core of the framework and values the fair distribution of limited high-value medications as well as efficiency and compliance with regulations. Among the main contributions are the development of the first RLHF, based regulatory AI framework for 340B systems, an equity, aware optimization model that balances financial sustainability with social justice, and an ethical governance structure that integrates compliance, transparency, and accountability into the very AI decision, making processes.
Keywords 340B Program, AI Equity, RLHF, Ethical AI, Healthcare AI Governance, Safety-Net Hospitals, AI Regulation, Drug Supply Chain Optimization.
Field Engineering
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-07
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.75737
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E-ISSN 2582-2160
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