A New Approach for the Management of CAD Patients.

Project Overview

What is the objective of TIMELY?

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.

What is the main hypothesis of TIMELY?

The central hypothesis of the patient-centered TIMELY pathway is that a modular, collaborative eHealth platform, enhanced by Artificial Intelligence (AI) for real-time prediction of cardiac risks and complications and the initiation of targeted behavioral change interventions, can be effective and cost-efficient for the secondary prevention of coronary artery disease (CAD). This approach aims to mitigate the physiological and psychological impacts of the disease while enhancing risk factor and symptom management.

"Coronary artery disease (CAD) is a chronic disease that requires life-long care. We believe that assisted self-management of CAD can help to improve patents’ quality of live and improve health-related outcomes. TIMELY was created for continuous and individual patient support based on the latest advances in remote care management."

— Dr. Boris Schmitz, Principal Investigator Clinical Study

Tasks at TIMELY

  • Work Package 1

    Universität Witten/Herdecke: Defining preventive cardiology in a Living Lab

    The overall objective is to deploy a living lab in UWH (Klinik Königsfeld) for the iterative codesign of the end platform towards patient activation and provision of efficient preventive cardiology. Within this WP, the prospective study with 300 patients will be run.

  • Work Package 2

    Foundation for Research and Technology (FORTH): Risk prediction with AI

    Within this WP all the method and models for the automated evaluation of patients risks with Artificial Intelligence will be developed. Refinement and extension of the already validated for secondary prevention CoroPredict is also foreseen.

  • Work Package 3

    University of Amsterdam: AI interventions

    TIMELY will create and assess AI-driven lifestyle interventions, including chatbots and reinforcement learning agents, covering key areas of cardiovascular rehabilitation: nutrition, smoking, psychosocial support and physical activity training.

  • Work Package 4

    SEMDATEX: Development of TIMELY-Net Platform

    The design of the platform based on the requirements gathered in the Living Lab setting will provide a solid, but “live” specifications and architecture definition for the subsequent implementation of the modules and their integration in TIMELY Net.

  • Work Package 5

    Tilburg University: Evaluation of TIMELY Intervention

    The objective is to implement and evaluate the TIMELY interventions developed in Work Package 1 through Work Package 4 using randomized controlled trial.

  • Work Package 6

    BIOTRONIK: Dissemination and Exploitation

    The goal is to increase awareness for the project and its results amongst different stakeholders and to draft an exploitation and market access strategy.

  • Work Package 7

    University Amsterdam: Project Management

    Project Management will be concentrated in handling the progress of actual work made in the project, as well as in financial and internal communication issues.