Enhancing Cardiovascular Health via Risk Scoring Systems
This project focuses on reducing the burden of Coronary Artery Disease (CAD) and Valvular Heart Disease (VHD) on healthcare systems by developing a comprehensive risk-scoring system for elderly patients.
Project Details
Clients: Deutsches Herzzentrum der Charité
Tags: Just-in-time adaptive interventions, Healthcare
Client Website: https://www.charite.de/en/
Let’s Work Together
The Story
Cardiovascular diseases, particularly Coronary Artery Disease (CAD) and Valvular Heart Disease (VHD), significantly impact global health by reducing physical function, quality of life, and life expectancy. CAD is the leading cause of mortality worldwide, responsible for approximately 17.8 million deaths each year. In Europe alone, CAD places a substantial financial burden on healthcare systems, with the 27 European Union (EU) countries incurring an estimated €282 billion in annual costs as of 2021. This figure includes €155 billion in health and long-term care expenses, which constitute 55% of the total cost and represent 11% of the EU’s overall health expenditure.
Our Project
This project aims to reduce the healthcare burden of Coronary Artery Disease and Valvular Heart Disease through two primary objectives. The first objective is to create a comprehensive and reliable risk-scoring system for CAD by leveraging a wide range of health metrics, including blood pressure, ECG data, lipid levels, sodium intake, and glucose measurements, to build a holistic assessment of each patient’s cardiovascular health. To achieve this, the project will assess and conceptually integrate compatible health-monitoring devices, such as blood pressure monitors, wearable sensors, ECG machines, and glucose meters, to ensure consistent and accurate data collection across different healthcare settings.
Medical experts will be interviewed to refine and validate the selection of risk factors, ensuring that each factor is clinically relevant and aligns with current best practices in cardiovascular care. Following this, available data sources will be identified and assessed to confirm they contain the necessary information for comprehensive risk evaluation. Finally, a conceptual framework will be developed to integrate diverse data points, allowing for cohesive analysis and supporting the accurate assessment of cardiovascular risk.