Luca Cossu, Italy
University of Padova Department of Information Engineering (DEI)Presenter of 1 Presentation
A NEW TELEMEDICINE PLATFORM FOR CLINICAL TRIALS WITH AUTOMATIC SENSOR DATA GATHERING AND REAL TIME MONITORING
Abstract
Background and Aims
Clinical trials are an essential instrument to test newly developed solutions for diabetes management and care. Multivariable and multisensor data that are usually collected in such studies should be structured to enhance their fruition, synchronized to a telemonitoring interface, and finally analyzed to assess the methodology under examination. The process of collecting and organizing data is complex and requires ad-hoc multidomain infrastructures. This work presents a newly developed telemedicine platform that allows real-time data gathering and monitoring during clinical studies.
Methods
The platform is composed by a cloud database, a mobile application and a web interface (see Figure, upper panel). The mobile application allows to log daily-life events and automatically collects data from Dexcom’s CGM devices and health vitals from both Apple Watch and Fitbit smartwatches. Data are streamed to the cloud database through secure RESTful APIs and ultimately exposed in real-time to clinicians through an easy-to-use web interface. The platform complies with the General Data Protection Regulation and ensure modularity to allow fast implementation of new algorithms for their assessment.
Results
Currently undergoing tests on a diabetic individual show that the platform is robust and performant. An example of data collected in such pilot study is reported (Figure, lower panel). No errors or disconnections have been experienced so far.
Conclusions
The developed platform is proving to be an efficient tool to gather and visualize in real-time multivariable and multisensor data. Next steps include an ad-hoc study to extensively test and validate it on a large population.