Predictive Analytics in Healthcare: The Power of Artificial Intelligence

Abstract

Predictive analytics, powered by artificial intelligence (AI), offers significant potential to improve healthcare outcomes by anticipating and preventing adverse events. This paper reviews the application of AI-driven predictive models in various healthcare settings, including emergency care, chronic disease management, and hospital operations. We highlight successful examples where AI has predicted patient deterioration, optimized resource allocation, and improved treatment planning. The paper also discusses the technical and ethical challenges of implementing predictive analytics, such as data quality, algorithm transparency, and patient consent, providing recommendations for future research and practice.