Scalable AI Framework Using SAP, Oracle Cloud, SDN, and BMS Upgrades for Intelligent and Sustainable Healthcare

Abstract

This paper proposes a scalable AI framework for intelligent patient monitoring that integrates SAP healthcare modules and Oracle Cloud AI services to create a unified, data-driven ecosystem for healthcare delivery and financial inclusion. The framework leverages real-time data analytics, machine learning pipelines, and IoT-enabled patient monitoring systems to support predictive diagnostics, personalized treatment recommendations, and proactive health interventions. By embedding AI-driven financial analytics and secure digital payment mechanisms, the system ensures equitable access to healthcare services, especially for underserved populations. Furthermore, the architecture emphasizes sustainable IT operations through optimized cloud resource utilization, green computing strategies, and compliance with environmental, social, and governance (ESG) goals. This integration of SAP and Oracle Cloud provides seamless interoperability, data transparency, and end-to-end automation, enhancing both clinical decision-making and operational sustainability in healthcare ecosystems.