Title
A Predictive Model-Based Decision Support System for Diabetes Patient Empowerment
Author
Glachs, D.
Namli, T.
Strohmeier, F.
Rodríguez Suárez, G.
Sluis, M.
Delgado-Lista, J.
Sont, J.K.
de Graaf, A.A.
Salzsieder, E.
Vogt, L.
Publication year
2021
Abstract
The main objective of POWER2DM is to develop and validate a personalized self-management support system (SMSS) for T1 and T2 diabetes patients that combines and integrates i) a decision support system (DSS) based on leading European predictive personalized models for diabetes interlinked with predictive computer models, ii) automated e-coaching functionalities based on Behavioral Change Theories, and iii) real-time Personal Data processing and interpretation. The SMSS offers a guided workflow based on treatment goals and activities where a periodic review evaluates the patients progress and provides detailed feedback on how to improve towards a healthier, diabetes appropriate lifestyle.
Subject
Diabetes
Self-management
Predictive modeling
Care plan management
Care plan management
Self care
Diabetes Mellitus
Healthy Lifestyle
Humans
Mentoring
Patient Participation
To reference this document use:
http://resolver.tudelft.nl/uuid:057d959d-cce0-4a2d-a60a-f8b0fa198d1d
DOI
https://doi.org/10.3233/shti210321
TNO identifier
956399
Publisher
IOS Press
ISBN
9781643681856 ; 9781643681849
Source
Public Health and Informatics: Proceedings of MIE 2021, 281 (281), 963-968
Document type
bookPart