Uncovering platform usage insights at moveUP: A journey from data visualization to AI-driven analysis

Details

Supervisors

Absil, Pierre-Antoine ; Pauwels Andries

Faculty

Ecole polytechnique de Louvain

Degree label

Master [120] en science des données, orientation technologies de l'information, à finalité spécialisée: analyse de données

Abstract

enThis thesis explores how data from a digital rehabilitation platform can be used to better understand patient and healthcare professional engagement. Using real-world data from the moveUP Clinical Platform, the work focuses on transforming raw usage data into clear and actionable insights through interactive visualization and data analysis. The first part of the thesis presents the design and implementation of interactive dashboards within the Data Insights module. These dashboards provide an overview of patient activity, healthcare professional usage, platform adherence, and patient inclusion dynamics. By structuring and visualizing usage data in an intuitive way, the dashboards support clinicians and stakeholders in monitoring engagement throughout the care process. The second part of the thesis analyzes patient engagement patterns using unsupervised learning techniques. Patients are grouped based on application usage duration and intensity, leading to the identification of distinct engagement profiles across orthopedic and bariatric care pathways. This analysis highlights differences in how patients interact with the platform over time.