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Completed H2020 European Commission

A patient-centered early risk prediction, prevention, and intervention platform to support the continuum of care in coronary artery disease (CAD) using eHealth and artificial intelligence

€5.74M EUR

Funder European Commission
Recipient Organization Universiteit Van Amsterdam
Country Netherlands
Start Date Jan 01, 2021
End Date Mar 31, 2025
Duration 1,550 days
Number of Grantees 17
Roles Participant; Third Party; Coordinator
Data Source European Commission
Grant ID 101017424
Grant Description

Coronary artery disease (CAD) remains the leading cause of disease burden globally.

CAD develops slowly, usually over decades, and depends on multiple (often modifiable) risk factors and their interactions.

Self-management and patient activation are of rising importance as current restrictions in healthcare budgets impose great difficulties to enable the provision of qualitative secondary prevention to all cardiac patients in an era facing a huge cardiovascular disease epidemic.The main hypothesis in the patient-centered TIMELY pathway, is that a modular, collaborative eHealth platform, supported by Artificial Intelligence (AI) for the continuous and in-time prediction of cardiac risks and complications and the induction of targeted behavioural change interventions, can be effective and cost-efficient for the secondary prevention of CAD by limiting the physiological and psychological effects of the disease and improving risk factor and symptom management.

Improvements in patients’ self-care and empowerment and clinicians’ efficiency are also expected.Along the continuum of the disease, prediction of the individual risk for disease progression, including physical impairment and severe events, is mandatory for timely intervention.

TIMELY is a platform that provides AI-powered apps and dashboards and decision support tools assisting patients and clinicians to personalize healthcare based on risk evaluation, outcome prediction and tailored interventions.

The platform will be developed based on a functional platform for Interoperability with electronic health records and security mechanisms, to ensure information completeness and continuity and to simplify data sharing.

AI in TIMELY, built with big retrospective datasets of >23.000 CAD patients, will constantly monitor and evaluate risks and will indicate any deviation from defined therapy goals or unfavorable changes as well as propose proper interventions.

All Grantees

Semdatex Gmbh; Medizinische Universitat Graz; Ruprecht-Karls-Universitaet Heidelberg; Idryma Technologias Kai Erevnas; Servicio Cántabro de Salud; Servizo Galego de Saude; Fundacion Instituto de Investigacion Marques de Valdecilla; Iem Gmbh; Biotronik Vertriebs Gmbh & Co. Kg; Consejeria de Sanidad de Cantabria; Private Universitaet Witten/Herdecke Ggmbh; Capemed Ee; Universidad de Cantabria; Tilburg University- Universiteit Van Tilburg; Fundacion Publica Galega Instituto de Investigacion Sanitaria de Santiago de Compostela; Universiteit Van Amsterdam; Technische Universitaet Dresden

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