Digital Health Europe

Class IDM: Interconnected diabetes management system

Keywords: Data Collection, Data Processing, Data Visualization, Disease Management
Owner
EIT Health
Type
Digital solution and service (e.g. application/digital health portal/platform/AI based system/etc.)
Short description
The ClassIDM solution is an integrated system enabling T2D patients to better manage their disease with the support of a data collection and processing ecosystem, a data visualisation platform and a portal for clinicians. The aim of the project is to show the effectiveness of the solution, through studies that provide patients with prototype smart devices that capture treatment and daily activity data. Patient data will be transferred to the cloud for processing, and then shared back to the patients and their care givers via insightful, real-time dashboards that can suggest adjustments in the patients’ behaviour and treatment. Based on contextual research, the solution will be tailored to fit specific population needs. EIT Health supports the partnership in conducting component solution refinement, designing the study and complying with mandatory regulations regarding evaluation within multistep clinical studies. Clinical studies will be rolled out in France and Germany, to assess impact in two different healthcare environments. The results will be scalable to other populations across the EU.
Maturity
There is evidence for economic viability and/or of benefits to the target group of the practice. Further research/development is needed for routine use.
Countries
France
Germany
Other (please specify in free text box below)
Geographical scope
European
Language(s)
English
Comment
People reached: 1,000-9,999
Submitted in other database or repository of digital health resources that is publicly available
https://digitalhealtheurope.eu/catalogue/, DHE catalogue

Additional information

Relations
to clinicians / care practitioners
Clinical decision support
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
to patients / citizens
Remote monitoring apps/health outcomes tracking
Sensors/wearable devices
Personalised prevention apps
Primary target patient group (age)
May be used across all patient ages
Addressed prevention area(s)
Nutrition and diet, Fitness and physical activity
Use case and care pathway positioning
Disease monitoring, treatment compliance, self-management
Ready to be transferred to
Ready for transfer, but the practice has not been transferred yet.