Designing a Scalable AI-Enabled SAP Ecosystem for Blockchain-Based Digital Payments and Interoperable Healthcare Data Management
DOI:
https://doi.org/10.15662/IJARCST.2025.0806003Keywords:
AI-Enabled SAP Ecosystem, Blockchain, Digital Payments, Interoperable Healthcare Data, Smart Contracts, Federated Learning, Cloud Computing, FHIR Standards, Data Security, Financial Inclusion, Scalable Architecture, Healthcare Analytics, Oracle Integration, Predictive Modeling, Digital TransformationAbstract
The convergence of Artificial Intelligence (AI), Blockchain, and SAP-based enterprise systems is transforming the healthcare sector by enhancing transparency, security, and interoperability in data and payment ecosystems. This paper presents a scalable AI-enabled SAP framework designed to facilitate secure digital payments and interoperable healthcare data management across multi-institutional networks. The proposed architecture integrates blockchain-based smart contracts for trustless transaction validation, AI-driven predictive analytics for payment optimization, and SAP Cloud Platform for cross-functional interoperability between healthcare providers, payers, and patients. By leveraging federated learning, sensitive patient data remains decentralized while enabling intelligent insights and operational efficiency. Furthermore, the framework supports FHIR-compliant APIs for standardized data exchange and cryptocurrency-based microtransactions for real-time claims settlement. Evaluation across simulated healthcare supply chain environments demonstrates improved scalability, reduced latency, and enhanced data integrity compared to conventional centralized models. The findings underscore the potential of integrating AI, Blockchain, and SAP ecosystems to build a future-ready, secure, and interoperable digital healthcare infrastructure that aligns with global data governance and financial inclusion principles.
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