A Unified AI and Quantum Computing Framework for Healthcare Modernization with SAP Integration and Secure Cloud Data Platforms
DOI:
https://doi.org/10.15662/IJRAI.2025.0806813Keywords:
AI in Healthcare, Quantum Computing, SAP Integration, Lakehouse Architecture, Secure Data Platforms, Healthcare Modernization, Predictive Analytics, Interoperability, Data Governance, Clinical Decision SupportAbstract
This paper presents an integrated framework for modernizing healthcare through the convergence of artificial intelligence (AI), quantum computing, SAP ecosystem integration, and lakehouse-based secure data platforms. The proposed architecture addresses critical industry challenges—including fragmented data landscapes, slow analytics pipelines, limited predictive capabilities, and stringent regulatory requirements—by unifying operational, clinical, and administrative data flows. AI models deployed across a lakehouse architecture enable real-time insights, advanced diagnostics, and personalized treatment pathways while maintaining strict data governance and privacy controls. Quantum computing augments the system’s computational capacity in optimization, drug discovery, and complex pattern analysis, offering performance gains unattainable with classical systems alone. Seamless integration with the SAP ecosystem ensures automated processes, interoperable workflows, and consistent enterprise-wide data alignment across ERP, EMR, and supply chain operations. The resulting framework provides a scalable, secure, and compliant digital health infrastructure that supports value-based care, operational resilience, and accelerated innovation across healthcare providers, payers, and life sciences organizations.
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