The objective is to develop and implement 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. 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 coronary artery disease (CAD) by limiting the physiological and psychological effects of the disease and improving risk factor and symptom management.
The goal is to is to implement the first AI-powered, patient-centered, collaborative eHealth platform answering the call for a learning system that continuously refines and customizes care in preventive cardiology.