An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials.
Giacomo CapponLuca CossuFederico BoscariDaniela BruttomessoGiovanni SparacinoAndrea FacchinettiPublished in: Journal of diabetes science and technology (2021)
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.
Keyphrases
- clinical trial
- electronic health record
- high throughput
- big data
- type diabetes
- physical activity
- end stage renal disease
- emergency department
- randomized controlled trial
- newly diagnosed
- data analysis
- prognostic factors
- skeletal muscle
- metabolic syndrome
- artificial intelligence
- adipose tissue
- peritoneal dialysis
- glycemic control
- phase ii
- adverse drug