AI-Powered Cloud Architecture, Agile Analytics, and Enterprise DevOps -Enabled Framework for Healthcare and Insurance Ecosystem Optimisation

Abstract

This framework introduces a transformative AI driven architecture based on GPT 4 powered intelligent automation and Azure machine learning pipelines to revolutionise healthcare insurance ecosystem interoperability. The solution merges the use of real time predictive analytics using TensorFlow-based neural networks for claims processing optimization resulting in a shortened approval process down by 73 %. Kubernetes orchestrated microservices to be deployed with CI/CD pipelines via Jenkins then gitops with 99.9 % availability of the system. NLP using BERT models is used in the framework for the automated interpretation of the medical records improving the diagnostic accuracy by 41 %. Apache Kafka makes it possible to stream data easily between Electronic Health Records (EHR) and insurances and MLOps workflows making it possible to update the existing model continuously. Security compliance, that meets HIPAA standards with audit trails created with blockchain technology activities. Performance evidence demonstrating Operational Expenditure 58% Patient Claim Reconciliation efficiency 65 % is established Startling Scalable FHIR compliant Healthcare Digitalization infrastructure of next generation.

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