Intelligent API gateways for AI-powered Healthcare Microservices
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V5I1P117Keywords:
API Gateway, Artificial Intelligence, Microservices, Healthcare Interoperability, Intelligent Routing, Data Security, Edge Computing, Cloud Health SystemsAbstract
This research work discusses the usage of AI-enabled API gateways in healthcare microservices architecture to meet the requirements of smart, safe, and scalable data exchange. The traditional API gateways are not efficient in terms of interoperability, and they face problems related to high latency as well as the security and compliance requirements that are strict by nature, which come from healthcare systems. The new intelligent gateway model uses AI to make routing more efficient, detect anomalies, and optimize policies dynamically, thus facilitating communication that is seamless and aware of the context in the microservices that are distributed in the system. Through the embedding of machine learning-based decision mechanisms, the gateway evolves the network to be less prone to break down, response time gets to be shorter and operational efficiency is improved to the maximum level. The experimental evaluations have shown efficiency gains in throughput, fault tolerance, and real-time responsiveness, at the same time, strict implementation of regulatory standards such as HIPAA and GDPR is being maintained. Hence, this method is instrumental in enabling a solid digital healthcare ecosystem that has the capability of offering personalized, data-driven, and compliant healthcare services in a world that is becoming more and more interconnected.
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