Enhancing Operational Efficiency in Healthcare with AI-Powered Management

Abstract

This paper examines the emergence of artificial intelligence (AI) in the field of healthcare, focusing on the functional, ethical, and regulatory implications. A description study design, an interpretative approach, and a deductive technique employed, together with extra information sources. The study concludes that although artificial intelligence (AI) holds great promise for bettering medical outcomes and distributing resources, it also poses significant ethical questions. Three main issues become known: confidentiality of patients, preventing bias, and openness. AI application control requires regulations, as those set forth by the Food and Drug Administration, GDPR, and HIPAA. Various participant viewpoints—such as that of patients, healthcare providers, and government authorities—emphasize how important collaborative ethical norms are. The ones that have proposed are frequent ethical evaluations, open accountability structures, and multidisciplinary collaboration. Subsequent research should focus on flexible AI systems, evolving regulatory landscapes, and longitudinal assessments. This study promotes a greater understanding of the complicated setting of artificial intelligence in healthcare management by providing useful suggestions for sustainable deployment

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