A Comparative Analysis Of Cloud Service Providers For Deploying Ai In Healthcare Enterprises: Performance, Security, And Compliance

Abstract

The healthcare industry's digital transformation through artificial intelligence integration necessitates careful evaluation of cloud service providers capable of supporting mission-critical applications while maintaining stringent security and regulatory compliance standards. This evaluation examines performance characteristics, security frameworks, and regulatory compliance capabilities of major cloud service providers, including Amazon Web Services, Microsoft Azure, and Google Cloud Platform, in the context of healthcare AI deployment. The assessment reveals significant variations in provider capabilities, with each platform demonstrating distinct advantages in specific deployment scenarios. Cloud-based medical imaging platforms achieve superior diagnostic accuracy compared to traditional methods, while specialized computational infrastructure enables the processing of large-scale medical datasets with enhanced efficiency. Security frameworks governing healthcare cloud deployments have evolved substantially, though healthcare cloud environments experience elevated security incident rates compared to other industry verticals. HIPAA compliance represents the foundational regulatory requirement, with healthcare organizations investing substantially in compliance activities related to cloud infrastructure management. Performing requirements for healthcare AI applications demand ultra-low delay and high availability, requiring rapid response time to support clinical decision-making processes with real-time clinical systems. Conclusions offer healthcare organizations with empirical data to inform the strategic cloud adoption decisions for AI workloads, highlighting the importance of a comprehensive evaluation structure that balances performance needs, cost considerations, and regulatory requirements.

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