MS360°: a conceptual digital-first, data-driven hybrid care framework for personalised multiple sclerosis management

Area of Science:

• Neurology
• Digital Health
• Healthcare Management

Background:

• Current multiple sclerosis (MS) care is often fragmented, leading to delayed interventions and reduced patient engagement.
• A need exists for integrated, continuous monitoring and personalized management strategies in MS care.

Purpose of the Study:

• To introduce MS360°, a conceptual hybrid care model for enhanced multiple sclerosis (MS) management.
• To outline a framework integrating digital health technologies (DHT) with traditional care for personalized and proactive MS management.

Main Methods:

• Proposes a digital-first hybrid framework utilizing remote monitoring, wearable sensors, and telemedicine for continuous data collection.
• Employs data to dynamically steer structured patient pathways, triggering targeted on-site assessments and interventions.
• Integrates multidisciplinary teams, structured pathways, and bidirectional data flow for clinical decision-making.

Main Results:

• Enables continuous, personalized, and proactive disease management for multiple sclerosis (MS) patients.
• Facilitates timely clinical decision-making, stratified patient management, and early detection of disease progression.
• Enhances patient engagement and lifestyle management through digital tools, improving adherence and outcomes.

Conclusions:

• MS360° provides a quality-driven conceptual framework for integrating digital innovations into patient-centered MS care.
• Future extensions may include artificial intelligence and digital twins for precision care, workflow optimization, and risk prediction.
• This model offers a roadmap for transforming MS care delivery through technology integration.