Participants
Bachelor Project Students: Jannis Hajda, Tom Lawrence, Karl Schuetz, Theo Bardey, Gerome Quantmeyer, Uli Prantz, Julian Werne
Supervisors: Stefan Kalabakov, Jonas Chromik
Project description
In ClearRisk, we set out to improve patient outcomes by tackling cardiovascular diseases, one of the most pressing challenges in global healthcare, which claims millions of lives annually. Specifically, in close coordination with the EU-funded project PreCare-ML, we focused on early detection and intervention for high-risk patients, empowering them to make timely lifestyle changes that can save lives
A critical aspect of this effort was ensuring that patients fully understood their diagnosis and its severity. This bachelor’s project explored and determining the most effective methods for communicating personalized risk scores, such as those for heart attacks or strokes, to both patients and healthcare professionals in a clear and accessible way.
Over the course of this project, we successfully developed and implemented a comprehensive system, including:
- Risk Assessment Service (RAS): A server-based service deployed within hospital infrastructure, leveraging advanced risk prediction models and patient data to generate personalized risk scores.
- Model-Based Risk Communication Strategy (RCS): A tailored approach to effectively convey risk information derived from prediction models, ensuring clarity and actionability.
- User-Friendly Smartphone App: An application designed to integrate the most effective RCS and connect seamlessly with the RAS, delivering personalized risk scores directly to users.