Next Generation Healthcare Enterprise Platform with Privacy Centric Cloud AI and Unified Payment Ecosystem
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Abstract
The digital transformation of healthcare is accelerating, driven by the need for scalable, intelligent, and secure enterprise systems that can handle sensitive patient data while delivering high-quality care. This research proposes a next-generation healthcare enterprise platform built on privacy-centric cloud AI and a unified payment ecosystem. The platform integrates electronic health records (EHR), telemedicine, IoT medical devices, laboratory systems, and insurance systems into a unified cloud environment. Privacy-preserving AI techniques such as federated learning, differential privacy, and homomorphic encryption are employed to ensure secure data processing while maintaining patient confidentiality. A unified payment ecosystem is integrated to manage billing, insurance claims, digital wallets, and automated settlements using blockchain and smart contracts, enhancing transparency and reducing fraud. The platform supports real-time analytics, predictive diagnostics, and personalized care through AI models deployed in the cloud with strict privacy controls. Continuous monitoring, audit trails, and compliance frameworks ensure adherence to HIPAA, GDPR, and other regional regulations. The proposed architecture emphasizes modular microservices, secure APIs, and scalable cloud infrastructure, enabling seamless interoperability among stakeholders. This research demonstrates how privacy-centric AI combined with unified payments can revolutionize healthcare operations by improving efficiency, reducing costs, and ensuring patient trust in digital healthcare ecosystems
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