A Secure AI and Cloud Based Architecture for Public Sector Biomedical and Financial Systems Enabling Mobile Healthcare Communication and Equitable Access
DOI:
https://doi.org/10.15662/IJEETR.2023.0505007Keywords:
Secure cloud architecture, Artificial intelligence, Public sector systems, Mobile healthcare communication, Financial systems, Data privacy, Equity governance, Biomedical information systems, Zero trust security, Digital inclusionAbstract
Public sector digital transformation increasingly depends on the convergence of biomedical healthcare systems, financial platforms, and cloud-native infrastructures to deliver inclusive and secure services. Mobile healthcare communication, digital payments, and public health financing introduce significant challenges related to data privacy, interoperability, resilience, and equitable access. This paper proposes a secure AI-driven cloud architecture that integrates public sector biomedical systems with financial platforms to enable real-time mobile healthcare communication while ensuring governance compliance and technological equity. The proposed architecture leverages artificial intelligence for decision intelligence, anomaly detection, and fraud prevention, alongside cloud-native security controls such as zero-trust access, encryption, and policy-driven governance. By incorporating equity-aware design principles and resilience mechanisms, the framework supports scalable and inclusive service delivery across diverse socio-economic environments. The study demonstrates how secure integration of financial and healthcare systems can improve service reliability, trust, and accessibility in public sector digital ecosystems
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