Conference Paper

Visualizing usage data from a diabetes management system


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.

Attached files


Duce, David A.
Martin, Clare
Russell, Alex
Brown, Dan
Aldea, Arantza
Alshaigy, Bedour
Harrison, Rachel
Waite, Marion
Leal, Yenny
Wos, Marzena
Fernandez-Balsells, Mercè
Real, José
Manuel Fernández Nita, Lucian
López, Beatriz
Massana, Joaquim
Avari, Parizad
Herrero, Pau
Jugnee, Narvada
Oliver, Nick
Reddy, Monika

Oxford Brookes departments

School of Engineering, Computing and Mathematics
Department of Nursing


Year of publication: 2020
Date of RADAR deposit: 2020-09-16

This work is subject to copyright. All rights reserved, whether the whole or part of the material is concerned, specifically those of translation, reprinting, re-use of illustrations, broadcasting, reproduction by photocopying machines or similar means, and storage in data banks.

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