AI-Optimized Cloud Architectures for Healthcare: Enhancing Medical Data Processing and Patient Care

AI-Optimized Cloud Architectures for Healthcare: Enhancing Medical Data Processing and Patient Care

Surabhi Anand (Independent Researcher, USA), Sahil Miglani (Independent Researcher, India), and Royana Anand (Independent Researcher, USA)
Copyright: © 2025 |Pages: 20
DOI: 10.4018/979-8-3693-9694-0.ch017
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Abstract

The fusion of artificial intelligence (AI) and cloud computing is transforming healthcare by enabling real-time data analysis, precision diagnostics, and personalized patient care. This chapter explores AI-optimized cloud architectures specifically designed for healthcare, where vast medical datasets are processed with security and efficiency. By integrating advanced AI models within cloud infrastructures, healthcare providers gain predictive insights, proactive patient monitoring, and individualized treatment plans—all while upholding strict data security and regulatory compliance. Essential components include scalable architectures, robust privacy protocols, and compatibility with legacy healthcare systems. This research establishes a framework for next-generation healthcare solutions that can adapt to growing demands, delivering intelligent, secure, and efficient care. Cloud-based AI's potential to enhance patient outcomes represents a critical advancement in addressing the complex challenges of modern medicine.
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