AI-Based Cloud Framework for Large-Scale Ecosystem Integration Connecting Digital Banking and Pediatric Healthcare Systems through SAP Intelligence

Amelia Rose Fairchild

doi:10.15662/IJRAI.2025.0804006

Authors

Amelia Rose Fairchild Lead System Engineer, United Kingdom Author

DOI:

https://doi.org/10.15662/IJRAI.2025.0804006

Keywords:

AI-Based Cloud Framework, Digital Banking, Pediatric Healthcare Systems, SAP Intelligence, Ecosystem Modernization, Predictive Analytics, Data Interoperability, Secure Cloud Integration

Abstract

This paper proposes an AI-Based Cloud Framework designed to modernize and integrate Digital Banking and Pediatric Healthcare Systems within a unified, large-scale digital ecosystem. The framework leverages Artificial Intelligence (AI), Cloud Computing, and SAP-driven data intelligence to facilitate secure interoperability, predictive analytics, and intelligent service delivery across cross-domain sectors. By combining healthcare data management with financial transaction ecosystems, the architecture enables real-time monitoring, risk assessment, and personalized service provisioning. AI algorithms enhance clinical decision support, fraud detection, and operational optimization, while cloud infrastructure ensures scalability, data resilience, and low-latency access. SAP integration strengthens governance, workflow automation, and compliance with both healthcare and banking regulations. The proposed model demonstrates a novel convergence of finance and healthcare sectors—offering transparency, efficiency, and trust through intelligent, data-centric ecosystem modernization.

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