Health behaviour support for people with chronic conditions: development of the eSupporter
Empowering people with chronic conditions through AI-driven, personalized coaching for self-management and behaviour change
This project brings together patients, healthcare professionals, private partners (Easylog BV and Chiesi), and academic researchers to develop the eSupporter, a personalized health application that supports behaviour change and self-management in individuals with chronic conditions. The eSupporter will complement the Assessment of Chronic Conditions (ABCC) tool and use Artificial Intelligence (AI) to provide tailored coaching and motivation to help patients live healthier lives.
The growing prevalence of chronic conditions such as COPD, asthma, and type 2 diabetes, with 10.4 million people in the Netherlands living with one or more chronic diseases, is straining healthcare systems. Rising healthcare costs, workforce shortages, and a shift toward patient empowerment highlight the need for tools that support self-management. Current eHealth solutions often lack a holistic approach, addressing isolated health behaviours rather than the overall burden of chronic disease. This project builds on research showing the effectiveness of personalized approaches to support patients in managing their health behaviours.
The eSupporter will be co-created with end-users – patients and healthcare professionals – to ensure it meets real-worldneeds. Building on an existing app platform, the app will integrate AI to deliver personalized coaching, motivational messaging, and progress tracking. Initial focus will be on physical activity and smoking cessation, with future expansion to additional health behaviours. The aim is to create a flexible, user-friendly digital coach that empowers patients to set goals, initiate and sustain behaviour change, and ultimately improve perceived and long-term health outcomes.Additionally, the tool has the potential to lower healthcare costs by reducing in-person consultations and enhancing the efficiency of chronic care through scalable digital interventions.
Development will proceed three work packages: content development, interface design with a virtual coach, and iteratively testing with end-users. Success will be assessed through the creation of a functional prototype and its acceptance by both patients and healthcare professionals.
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