Galletta, A; Celesti, A; Tusa, F; Fazio, M; Bramanti, P; Villari, M; (2017) Big MRI Data Dissemination and Retrieval in a Multi-Cloud Hospital Storage System. In: Kostkova, P and Grasso, F and Castillo, C and Mejova, Y and Bosman, A, (eds.) DH '17: Proceedings of the 2017 International Conference on Digital Health. (pp. pp. 162-166). Association for Computing Machinery (ACM): New York, NY, USA.

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Abstract

Nowadays, we are observing an explosion in the proliferation of clinical data. In this context, a typical example of the well-known big data problem is represented by the huge amount of Magnetic Resonance Imaging (MRI) files that need to be stored and analysed. Although the Cloud computing technology can address such a demanding problem, data reliability, availability and privacy are three of the major concerns against the large scale adoption of Cloud storage systems in the healthcare context - this is why hospitals are reluctant to move the patients' data over the Cloud. In this paper, we focus on data reliability and availability and we discuss an approach that allows healthcare centres storing clinical data in a Multi-Cloud storage environment while guaranteeing patients' privacy. Experiments proved the feasibility of our approach.

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