A Cloud-AI–Enabled Approach to Medical Data Management Integrating Oracle Technologies with Clinical and Healthcare Networks
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806811Keywords:
Oracle Cloud, Artificial Intelligence, Medical Data Management, Clinical Systems, Healthcare Networks, Cloud Computing, Predictive AnalyticsAbstract
The integration of cloud technologies and artificial intelligence (AI) is reshaping the way medical data is generated, processed, and utilized across modern healthcare ecosystems. This paper presents a Cloud-AI–enabled approach to medical data management that leverages Oracle technologies to enhance interoperability, scalability, and intelligence within clinical systems and healthcare networks. The proposed framework utilizes Oracle Cloud’s advanced analytics, autonomous data services, and secure infrastructure to streamline data acquisition, storage, and processing from diverse clinical sources. AI-driven models are incorporated to support predictive diagnostics, workflow automation, and real-time clinical decision-making. By enabling seamless communication between hospital information systems, IoT-connected medical devices, and healthcare networks, the solution improves data accuracy, operational efficiency, and patient-centered outcomes. This integrated architecture demonstrates how Oracle Cloud and AI can collectively strengthen clinical operations, reduce system fragmentation, and support next-generation digital healthcare transformation.
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