Cloud-Driven Medical Imaging Intelligence: Real-Time ANN-Based Autonomous Detection and Correction Integrated with Oracle EBS and Banking Platforms
DOI:
https://doi.org/10.15662/IJRAI.2025.0806014Keywords:
Artificial Neural Networks (ANNs), Cloud Healthcare, Oracle EBS, Autonomous Detection, Real-Time Analytics, Medical Data Governance, Data Correction, Banking Integration, FHIR, OCI, Edge AI, HIPAA Compliance, Cloud Intelligence, API Integration, Neural OptimizationAbstract
In today’s interconnected digital ecosystem, the integration of healthcare, financial, and enterprise systems has become vital for achieving real-time operational intelligence. This paper proposes a Real-Time Cloud-Based Healthcare Intelligence Framework powered by Artificial Neural Networks (ANNs), designed to autonomously detect and correct anomalies across integrated Oracle E-Business Suite (EBS) and banking platforms. The objective is to enhance data reliability, optimize decision-making, and ensure compliance in multi-domain environments where patient records and financial transactions intersect. The system leverages cloud-native architectures and real-time analytics pipelines, combining healthcare monitoring data with financial and operational parameters to detect anomalies through neural inference models.
The proposed model utilizes ANN-based anomaly detection with adaptive learning, ensuring continuous improvement as new data streams are processed. The architecture integrates Oracle EBS APIs, FHIR (Fast Healthcare Interoperability Resources) protocols, and banking transaction data for cross-domain analytics. Through edge preprocessing and cloud-scale deployment via Oracle Cloud Infrastructure (OCI) and Azure Synapse Analytics, the model ensures scalability, data integrity, and low-latency response.
Empirical results indicate that the ANN-driven correction mechanism improves anomaly resolution by 32%, reduces manual interventions by 41%, and enhances healthcare data accuracy and compliance with HIPAA and GDPR standards. This research demonstrates how cloud-based AI-driven intelligence can unify the healthcare and financial domains under a secure, automated, and intelligent data ecosystem—ultimately enhancing efficiency, accountability, and real-time decision-making.
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