DATA PRIVACY IN DISTRIBUTED HEALTHCARE SYSTEMS: A TECHNICAL ANALYSIS OF PRIVACY-PRESERVING ARCHITECTURES

This comprehensive article examines the implementation of privacy-preserving mechanisms in distributed healthcare systems, addressing the critical challenge of protecting sensitive patient information while maintaining system accessibility and scalability.The article explores the evolution of healthcare data management, analyzing the transformation from traditional centralized systems to distributed architectures.Through extensive analysis of healthcare institutions across multiple continents, this article presents detailed findings on security improvements, operational efficiencies, and patient trust enhancements achieved through advanced privacy implementations.The article explores various technical components including access control architectures, audit logging systems, data masking implementations, microservices architecture, and monitoring systems.The article demonstrates how modern distributed healthcare systems can effectively balance the competing demands of data accessibility, security compliance, and operational efficiency while maintaining robust privacy protections for sensitive patient information.