G-CLOUD-ENABLED HEALTHCARE SERVICES: A SECURE AND SCALABLE FRAMEWORK FOR GOVERNMENT APPLICATIONS

Abstract

The rapid advancement of cloud computing technologies has significantly transformed the healthcare sector by enabling efficient storage, management, and sharing of medical information. Government healthcare systems often face challenges related to data integration, accessibility, security, scalability, and service delivery across geographically distributed populations. Traditional healthcare information systems frequently suffer from fragmented data repositories, limited interoperability, and high infrastructure costs. To address these issues, Government Cloud (G-Cloud) computing has emerged as a promising solution for delivering secure, reliable, and scalable healthcare services. G-Cloud platforms provide centralized infrastructure, standardized services, and enhanced resource utilization while maintaining compliance with government regulations and healthcare standards. Healthcare organizations generate enormous volumes of sensitive patient information, including Electronic Health Records (EHRs), diagnostic reports, medical imaging data, prescriptions, and administrative records. Managing these datasets requires robust infrastructure capable of ensuring confidentiality, integrity, and availability. G-Cloud environments offer advanced security mechanisms such as encryption, identity management, access control, and continuous monitoring to protect healthcare information from unauthorized access and cyber threats. Furthermore, cloud-based healthcare services facilitate real-time information sharing among hospitals, clinics, government agencies, and healthcare professionals, thereby improving coordination and decision-making. This study proposes a secure and scalable G-Cloud-enabled healthcare framework for government applications. The framework integrates cloud infrastructure, healthcare data management systems, authentication mechanisms, encryption technologies, and service delivery modules to support efficient healthcare operations. The proposed architecture emphasizes data security, interoperability, scalability, and performance optimization. The research employs system analysis, cloud architecture modeling, security assessment, and performance evaluation techniques to examine the effectiveness of the framework. The findings are expected to demonstrate that G-Cloud-based healthcare services significantly improve healthcare accessibility, operational efficiency, and data security while reducing infrastructure costs. The proposed framework enhances government healthcare service delivery by enabling centralized data management, secure information exchange, and scalable resource allocation. Furthermore, the study contributes to the development of next-generation digital healthcare ecosystems capable of supporting future innovations such as artificial intelligence, telemedicine, blockchain-based health records, and smart healthcare applications. The research provides valuable insights for policymakers, healthcare administrators, cloud service providers, and researchers seeking to strengthen digital healthcare infrastructures through secure and scalable cloud computing technologies.