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This paper explores the possibility of applying artificial intelligence (AI) tools to the US healthcare sector for achieving reductions in healthcare cost and enhancing efficiency and better outcome for patients. The paper identifies specific areas of healthcare, particularly in the context of outpatient sector, where AI tools can be applied. The paper also proposes how the best AI practices in the US healthcare can be adopted by and adapted to other countries and scaled up. The paper concludes with a discussion of the challenges that may stymie the application of AI to the US healthcare sector and its diffusion to other countries.

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The Move from Inpatient to Outpatient Settings and the Use of Artificial Intelligence in the US Healthcare Sector: Lessons for Other Countries

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  • 发表日期：

    2025年

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  • Faisal M. Rahman

摘要

This paper explores the possibility of applying artificial intelligence (AI) tools to the US healthcare sector for achieving reductions in healthcare cost and enhancing efficiency and better outcome for patients. The paper identifies specific areas of healthcare, particularly in the context of outpatient sector, where AI tools can be applied. The paper also proposes how the best AI practices in the US healthcare can be adopted by and adapted to other countries and scaled up. The paper concludes with a discussion of the challenges that may stymie the application of AI to the US healthcare sector and its diffusion to other countries.