Navigating Ethics and Regulation in AI Health Cloud: Challenges and Opportunities for United States Healthcare

Abstract

This paper explores the social issues, ethical and compliance concerns relating to the implementation of AI-driven health cloud technologies in the United States. It tries to figure out how regulations, ethics and stakeholder trust are set up even in case they are unpredictable and examines innovation and value creation opportunities. In theory, the study is a synthesis of the literature available on the subject that identifies the key advantages and limitations of AI health cloud application. The advantages include more transparent clinical processes, more accurate surveillance of the health of the population, and more responsive individual treatment. The key issues are ambiguous legal standards, ethical and regulatory breaches, the lack of patient control over information, and poor privacy. The paper finds that U.S. AI health cloud programs need to integrate innovation and compliance, and advocate policy reforms that would align ethics, regulations, and compliance. It calls to action the inclusion of ethics and compliance to spur policy change in the U.S. AI cloud space. The research recommends that policymakers in health systems and leaders should work together to develop meaningful, moral, and viable policies.

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