An Integrated Mobile Platform for Automated Data Collection and Real-Time
Patient Monitoring in Diabetes Clinical Trials |
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| Authors: | Giacomo Cappon Luca Cossu Federico Boscari Daniela Bruttomesso Giovanni Sparacino Andrea Facchinetti |
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| Affiliation: | 1.Department of Information Engineering, University of Padova, Padova, Veneto, Italy;2.Department of Medicine, University Hospital of Padova, Padova, Veneto, Italy |
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| Abstract: | We present a new mobile platform to be used in clinical trials aimed at both collecting data and assessing new technologies and treatments for diabetes care. The main components of the platform are a mobile app, that automatically collects data from continuous glucose monitoring sensors and activity trackers, and also allows users to manually log daily events; a cloud database for safe data storage; a web interface, which allows clinicians to monitor patients’ status in real-time. The platform is modular and highly customizable for a multitude of purposes in clinical research. Preliminary tests performed for daily-life data gathering by both clinicians and users are extremely encouraging. |
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| Keywords: | mobile platform telemonitoring digital therapeutics wearable sensors clinical trials |
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