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An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials.
Cappon, Giacomo; Cossu, Luca; Boscari, Federico; Bruttomesso, Daniela; Sparacino, Giovanni; Facchinetti, Andrea.
Afiliação
  • Cappon G; Department of Information Engineering, University of Padova, Padova, Veneto, Italy.
  • Cossu L; Department of Information Engineering, University of Padova, Padova, Veneto, Italy.
  • Boscari F; Department of Medicine, University Hospital of Padova, Padova, Veneto, Italy.
  • Bruttomesso D; Department of Medicine, University Hospital of Padova, Padova, Veneto, Italy.
  • Sparacino G; Department of Information Engineering, University of Padova, Padova, Veneto, Italy.
  • Facchinetti A; Department of Information Engineering, University of Padova, Padova, Veneto, Italy.
J Diabetes Sci Technol ; 16(6): 1555-1559, 2022 11.
Article em En | MEDLINE | ID: mdl-34218721
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Aplicativos Móveis Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Aplicativos Móveis Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article