A DevOps-Centric Cloud and Quantum Computing Framework for Next-Generation Healthcare: SAP Ecosystem Integration and AI-Enhanced Secure Maintenance
DOI:
https://doi.org/10.15662/IJARCST.2025.0806811Keywords:
DevOps for Healthcare, Quantum Computing in Healthcare, Cloud-Native Healthcare Architecture, SAP Ecosystem Integration, SAP HANA, Predictive Maintenance, AI-Enhanced Secure Maintenance, Healthcare DevSecOps, Continuous Integration and Deployment (CI/CD), GitOps Automation, Data Lakehouse Analytics, Zero-Trust Security Healthcare 5.0, Clinical Interoperability, Real-Time Healthcare Intelligence, Medical Device Monitoring, Autonomous System Maintenance, Healthcare CybersecurityAbstract
The transition toward Healthcare 5.0 requires hyper-automated, secure, and intelligent infrastructures capable of supporting advanced clinical workloads and real-time operational decision-making. This paper proposes a DevOps-centric cloud and quantum computing framework that integrates SAP healthcare modules with AI-driven secure maintenance systems to modernize digital healthcare environments. The architecture leverages quantum computing to accelerate computationally intensive tasks such as medical imaging reconstruction, genomic pattern discovery, and large-scale optimization of clinical resource allocation. Cloud-native DevOps pipelines—including CI/CD, GitOps, and Infrastructure-as-Code—enable continuous deployment of AI models, frictionless SAP workflow integration, and automated compliance validation across distributed hospital networks. A unified Lakehouse platform provides scalable, real-time data processing for EHRs, sensor streams, pharmacy systems, and clinical imaging, while SAP HANA and FHIR-based SAP Connectors ensure enterprise-wide interoperability and standardized data exchange. AI-enhanced predictive maintenance models monitor medical devices, robotic systems, and IT assets to detect anomalies, prevent downtimes, and safeguard critical healthcare operations. The framework embeds zero-trust network security, encrypted pipelines, and intelligent DevSecOps automation to protect sensitive healthcare data from evolving cyber threats. Experimental evaluation demonstrates significant improvements in operational efficiency, system reliability, deployment agility, and predictive accuracy. This integrated DevOps–quantum–cloud–SAP ecosystem establishes a next-generation digital foundation for resilient, secure, and adaptive healthcare systems.
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