A Hybrid Cloud Storage Architecture for Large-Scale Medical Data

Abstract

The rapid digitization of healthcare services and the widespread adoption of Electronic Health Records (EHRs), 
medical imaging systems, and clinical information platforms have resulted in an unprecedented growth in medical 
data. Traditional storage infrastructures often struggle to provide the scalability, availability, security, and cost 
efficiency required for managing such large and continuously expanding datasets. Hybrid cloud computing has 
emerged as a practical solution by combining the reliability of private cloud environments with the scalability 
and resource flexibility of public cloud services. This paper presents a Hybrid Cloud Storage Architecture 
designed for large-scale medical data management. The proposed architecture integrates secure data acquisition, 
intelligent data classification, distributed storage management, encryption, and access control mechanisms to 
ensure reliable storage and efficient retrieval of clinical information. Frequently accessed and highly confidential 
patient records are maintained within the private cloud, whereas large archival datasets and non-critical medical 
information are stored in the public cloud to improve storage utilization and reduce operational costs. The 
architecture also incorporates data synchronization, backup management, and disaster recovery mechanisms to 
maintain service continuity and information integrity. The proposed framework enhances storage efficiency, 
supports secure healthcare data sharing, and provides a scalable infrastructure capable of meeting the increasing 
storage demands of modern healthcare organizations.