Visualizing Usage Data from a Diabetes Management System

Abstract
This article explores the role for visualization in interpreting data collected by a customised analytics framework within a healthcare technology project. It draws on the work of the EU-funded PEPPER project, which has created a personalised decision-support system for people with type 1 diabetes. Our approach was an exercise in exploratory visualization, as described by Bergeron's three category taxonomy. The charts revealed different patterns of interaction, including variability in insulin dosing schedule, and potential causes of rejected advice. These insights into user behaviour are of especial value to this field, as they may help clinicians and developers understand some of the obstacles that hinder the uptake of diabetes technology.
Description

        
@inproceedings{
10.2312:cgvc.20201144
, booktitle = {
Computer Graphics and Visual Computing (CGVC)
}, editor = {
Ritsos, Panagiotis D. and Xu, Kai
}, title = {{
Visualizing Usage Data from a Diabetes Management System
}}, author = {
Duce, David A.
and
Martin, Clare
and
Fernandez-Balsells, Mercè
and
Real, José Manuel Fernández
and
Nita, Lucian
and
López, Beatriz
and
Massana, Joaquim
and
Avari, Parizad
and
Herrero, Pau
and
Jugnee, Narvada
and
Oliver, Nick
and
Reddy, Monika
and
Russell, Alex
and
Brown, Dan
and
Aldea, Arantza
and
Alshaigy, Bedour
and
Harrison, Rachel
and
Waite, Marion
and
Leal, Yenny
and
Wos, Marzena
}, year = {
2020
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-122-9
}, DOI = {
10.2312/cgvc.20201144
} }
Citation