Secured AI-Driven Predictive Healthcare Analytics on Oracle Cloud with Integrated Firewall Intelligence
DOI:
https://doi.org/10.15662/IJARCST.2025.0806809Keywords:
AI-driven healthcare, predictive analytics, Oracle Cloud Infrastructure, Oracle Machine Learning, firewall intelligence, cloud security, healthcare data managementAbstract
The advancement of cloud computing and artificial intelligence (AI) has transformed the healthcare sector by enabling real-time data processing, predictive analytics, and intelligent security management. This study presents a secured AI-driven framework for predictive healthcare analytics deployed on Oracle Cloud Infrastructure (OCI) with integrated firewall intelligence. Healthcare data from Electronic Health Records (EHRs), IoT-enabled medical devices, and hospital information systems is ingested, preprocessed, and analyzed using Oracle Machine Learning (OML) to develop predictive models for patient risk assessment and operational forecasting. The framework incorporates Oracle’s Web Application Firewall (WAF) and Next-Generation Firewall (NGFW) to ensure robust security through continuous monitoring, anomaly detection, and automated threat response. By combining predictive healthcare modeling with AI-enhanced firewall analytics, the proposed system delivers a scalable, secure, and high-performance solution that enhances diagnosis support, improves hospital operational efficiency, and strengthens cloud security posture.
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