Abstract

This study explores how human-centric intelligent systems and digital solutions can contribute to maintaining the working capacity of individuals with Multiple Sclerosis (MS). Focusing on the analysis of behavioural data and modelling individual disease trajectories, the research investigates how personalized work models and support systems can be developed to meet the specific needs of MS patients. By leveraging digital behaviour modelling and AI-driven systems, the interaction between healthcare services, employers and labour market agencies can be optimized to improve the working capacity of individuals with chronic diseases. Mobile and social sensing technologies further enhance the ability to monitor health status and work capacity in real-time, enabling more effective, data-driven interventions.

Keywords:Human-centric intelligent systems; Working capacity; Multiple Sclerosis (MS); Behavioural data analysis; Personalized work models; Support systems; Healthcare services