A new integrated platform for gathering and managing multivariable and multisensor data in diabetes clinical studies

Gathering and managing biomedical and sensor data has become, in recent days, crucial in many research fields. In particular, medical data is one of the most complex data categories because of the multiple origins and format, but also because of the security concerns it has. Diabetes is one example of disease for which large quantity of data, having different origins, is needed to be collected and stored every day. In addition, part of the medical data related to diabetes therapy is still collected on personal paper diaries, making the procedure of patient’s data evaluation by the diabetologist even more complex. Integrating all such data in digital format and in a single integrated framework will allow more efficient analysis by clinicians and faster development and porting of new algorithms. The aim of this work is to present a new prototype of platform that has been developed by our research group for such a purpose. The platform is composed by a complete database, a mobile application and a web interface, following the standard telemedicine structure, and has important key features such as sensors and other health applications integration, with attention to privacy and usability requirements for both the patient and the clinician.