This paper presents a hybrid storage solution for the management of e-health data. Such a solution merges SQL-like strategies with NoSQL document based approaches in order to provide an efficient, scalable and secure storage system that can be used from one or many health care units. Starting from an Entity Relationship (E-R) model for e-health data, the paper discusses how pieces of information should be organized and stored for a quick and efficient retrieval. The paper also discusses a real use case where the proposed storage solution is adopted to manage data for neurologic Tele-Rehabilitation (TR) of patients at home. During the treatment at home, patients use wireless sensing devices to monitor their status and to provide real-time feedback during exercises. Such devices produce a hugh amount of e-health data that are sent and stored into the hybrid storage system. Experiments are performed adopting the e-health data model on both NoSQL and SQL-like implementations.
['Maria Fazio', 'Alessia Bramanti', 'Antonio Celesti', 'Placido Bramanti', 'Massimo Villari']
A Hybrid Storage Service for the Management of Big e-Health Data: A Tele-Rehabilitation Case of Study