Patient-generated health data integration and advanced analytics for diabetes management: The AID-GM platform

Elisa Salvi, Pietro Bosoni, Valentina Tibollo, Lisanne Kruijver, Valeria Calcaterra, Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza

Research output: Contribution to journalArticle

Abstract

Diabetes is a high-prevalence disease that leads to an alteration in the patient’s blood glucose (BG) values. Several factors influence the subject’s BG profile over the day, including meals, physical activity, and sleep. Wearable devices are available for monitoring the patient’s BG value around the clock, while activity trackers can be used to record his/her sleep and physical activity. However, few tools are available to jointly analyze the collected data, and only a minority of them provide functionalities for performing advanced and personalized analyses. In this paper, we present AID-GM, a web application that enables the patient to share with his/her diabetologist both the raw BG data collected by a flash glucose monitoring device, and the information collected by activity trackers, including physical activity, heart rate, and sleep. AID-GM provides several data views for summarizing the subject’s metabolic control over time, and for complementing the BG profile with the information given by the activity tracker. AID-GM also allows the identification of complex temporal patterns in the collected heterogeneous data. In this paper, we also present the results of a real-world pilot study aimed to assess the usability of the proposed system. The study involved 30 pediatric patients receiving care at the Fondazione IRCCS Policlinico San Matteo Hospital in Pavia, Italy.

Original languageEnglish
Article number128
JournalSensors (Switzerland)
Volume20
Issue number1
DOIs
Publication statusPublished - Jan 2020

Fingerprint

data integration
Data integration
Medical problems
glucose
health
Glucose
Blood Glucose
platforms
blood
Health
Blood
sleep
Sleep
Exercise
Equipment and Supplies
Pediatrics
Monitoring
Physiologic Monitoring
heart rate
Italy

Keywords

  • Activity tracker
  • Flash glucose monitoring
  • Patient-generated health data
  • Telemedicine
  • Temporal abstraction
  • Temporal data analysis

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Patient-generated health data integration and advanced analytics for diabetes management : The AID-GM platform. / Salvi, Elisa; Bosoni, Pietro; Tibollo, Valentina; Kruijver, Lisanne; Calcaterra, Valeria; Sacchi, Lucia; Bellazzi, Riccardo; Larizza, Cristiana.

In: Sensors (Switzerland), Vol. 20, No. 1, 128, 01.2020.

Research output: Contribution to journalArticle

Salvi, Elisa ; Bosoni, Pietro ; Tibollo, Valentina ; Kruijver, Lisanne ; Calcaterra, Valeria ; Sacchi, Lucia ; Bellazzi, Riccardo ; Larizza, Cristiana. / Patient-generated health data integration and advanced analytics for diabetes management : The AID-GM platform. In: Sensors (Switzerland). 2020 ; Vol. 20, No. 1.
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