AI-enabled distributed platform tackles data security and scalability in health-IT


 A new paper proposes a solution to the scalability and security bottlenecks that plague modern hospital IT systems. Researchers have designed a distributed web architecture that combines cloud services with AI analytics, all built on the secure HL7 FHIR standard for interoperability. The system uses Docker Swarm to manage resources efficiently, ensuring high availability even during peak loads. By integrating AI models directly into this distributed framework, the platform can perform real-time anomaly detection in medical imaging while maintaining strict data privacy across different institutions. This approach offers a roadmap for hospitals looking to modernize their infrastructure without sacrificing security or compliance.

Read the original article at: https://www.mdpi.com/2076-3417/15/19/10710


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