Downloads: 0
Research Paper | Information Technology | Volume 15 Issue 2, February 2026 | Pages: 1465 - 1469 | United States
Hybrid Multi-Cloud Architectures for HIPAA-Compliant Real-Time Healthcare Analytics: Performance Optimization and Cost Efficiency at Scale
Abstract: The article examines hybrid multi-cloud reference architectures for real-time healthcare analytics that comply with HIPAA security and privacy requirements. Relevance is driven by the operational need to combine low-latency processing with rigorous safeguards for protected health information and auditable governance across heterogeneous cloud services. Novelty lies in a design synthesis that connects interoperable clinical data representations, tabularization patterns for analytics-grade querying, and control-driven security engineering, all mapped to workload placement and cost levers. The work describes architectural building blocks for ingestion, transformation, storage, and streaming analytics. It analyzes trade-offs between batch and near-real-time refresh patterns observed in large-scale healthcare data engineering practice. A Bootstrap Incremental Refresh Method (baseline bootstrap plus governed delta capture) is used as the organizing method for pipeline refresh, validation, and cost control across the proposed architecture. Special attention is given to policy enforcement points, cross-cloud identity and logging, and data minimization strategies that reduce compliance exposure while preserving analytical utility. The study aims to propose a scalable, compliant, and cost-efficient architecture and employs analytical synthesis, comparative review, and control mapping. The findings are intended for healthcare data engineers, platform architects, and compliance-oriented analytics teams.
Keywords: HIPAA compliance, hybrid cloud, multi-cloud, real-time analytics
How to Cite?: Mehulkumar Joshi, "Hybrid Multi-Cloud Architectures for HIPAA-Compliant Real-Time Healthcare Analytics: Performance Optimization and Cost Efficiency at Scale", Volume 15 Issue 2, February 2026, International Journal of Science and Research (IJSR), Pages: 1465-1469, https://www.ijsr.net/getabstract.php?paperid=SR26221102334, DOI: https://dx.dx.doi.org/10.21275/SR26221102334