Next Generation Secure Healthcare Platforms with AI Big Data Blockchain Governance and Real Time Risk Analytics
DOI:
https://doi.org/10.15680/IJCTECE.2024.0706023Keywords:
Artificial Intelligence, Big Data Engineering, Secure Healthcare Platforms, Blockchain Governance, Real Time Risk Analytics, Cloud Infrastructure, Healthcare Cybersecurity, Distributed Systems, Predictive Analytics, Digital TransformationAbstract
The rapid growth of healthcare data, coupled with increasing demands for real-time patient monitoring, predictive analytics, and regulatory compliance, has necessitated the development of next-generation secure healthcare platforms. This study explores the integration of artificial intelligence (AI), big data analytics, blockchain governance, and real-time risk analytics to create resilient, scalable, and intelligent healthcare ecosystems. AI and machine learning models facilitate predictive diagnostics, personalized treatment recommendations, and anomaly detection in patient data streams. Big data architectures support distributed storage, high-throughput processing, and interoperability across heterogeneous health systems. Blockchain technology introduces decentralized governance, ensuring immutable patient records, transparent access control, and automated compliance with healthcare regulations. Real-time risk analytics provide actionable insights for clinical decision-making, operational risk management, and cybersecurity threat mitigation. The proposed framework demonstrates enhanced accuracy in predictive modeling, improved data security, and reduced operational latency during high-volume healthcare operations. Experimental results indicate that integrating these technologies not only optimizes clinical and administrative workflows but also increases patient trust through transparent governance mechanisms. This study contributes to the field by proposing a unified architecture for secure, intelligent, and compliant healthcare platforms that can adapt to evolving technological and regulatory demands.References
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