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  HealthyHome: Supportive technology for pregnant women with diabetes  
   
   

The treatment of patients is no longer confined to hospitals and doctors’ offices, as it is increasingly taking place in the homes of the citizens. At the same time people are showing a growing interest in their own health, and they are privately starting to collect data that is also relevant for professional treatment, such as blood pressure and exercise-related data. However, there is a great difference between the demands made on technology developed for e.g. a hospital setting and technology developed for the home. The aim of this project is to explore how the home can be integrated into a network of healthcare providers. In particular the project will focus on:

  • Understanding the conditions for it-support of health-related activities in the home and for the interaction between the home and healthcare providers.
  • Developing a scalable software infrastructure that supports interplay between citizens at home and healthcare providers, and that allows for the collection of heterogeneous data in the home.

The project focuses on a case study of pregnant women with diabetes. These women have a particularly close collaboration with various healthcare professionals throughout their pregnancy in order to regulate their diabetes and to check that all is in order. One goal of the study is to explore how heterogeneous data collected in collaboration between the healthcare professionals and the woman can become integrated in a personal health record. A challenge closely related to this particular case study is the issue of accounting for the individuality of the women, and their personal desires and needs for medical treatment and support.

The HealthyHome project is carried out in collaboration with WM-data, KIRK telecom, and Aarhus University Hospital. The studies will contribute to the overall body of work made within the area of independent living, developing supportive technology based on pervasive computing technology.

 
Management

Lisa Wells
Dept. of Computer Science
University of Aarhus
Aabogade 34
DK-8200 Aarhus N, DENMARK
Phone: +45 8942 5635
Email: wells@daimi.au.dk

Morten Kyng
Dept. of Computer Science University of Aarhus
Aabogade 34
DK-8200 Aarhus N, DENMARK
Phone: +45 8942 5715
Email: mkyng@daimi.au.dk

 

 

 

   CfPH©, updated: 4-jun-07