Advanced SAP HANA Cloud Architecture for Healthcare Big Data and Intelligent Care through Generative AI and Conversational AI Integration
DOI:
https://doi.org/10.15662/IJEETR.2025.0704004Keywords:
SAP HANA Cloud, Healthcare Big Data, Generative AI, Conversational AI, Clinical Analytics, Data Security, Real-Time Analytics, Machine Learning, Cloud Architecture, Healthcare Information SystemsAbstract
ABSTRACT: Healthcare organizations generate massive volumes of structured and unstructured data from electronic health records, medical imaging, IoT devices, and clinical systems. This paper proposes an advanced SAP HANA Cloud architecture designed to support healthcare big data management, generative AI, and conversational AI integration while ensuring security, scalability, and regulatory compliance. The architecture leverages SAP HANA Cloud’s in-memory processing to enable real-time analytics and unified data consolidation across clinical, operational, and administrative domains. Generative AI models enhance clinical decision support, automate documentation, and enable predictive insights, while conversational AI interfaces provide natural language interaction for clinicians, administrators, and patients. Robust data governance, identity and access management, and compliance controls aligned with healthcare regulations ensure data privacy and trust. The proposed architecture empowers healthcare providers to improve clinical efficiency, enhance patient engagement, and accelerate data-driven innovation.
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