MS360°: a conceptual digital-first, data-driven hybrid care framework for personalised multiple sclerosis management
Publikation: Beitrag in Fachzeitschrift › Übersichtsartikel (Review) › Beigetragen › Begutachtung
Beitragende
Abstract
This perspective introduces MS360°, a conceptual hybrid care model for the management of multiple sclerosis (MS). It integrates traditional on-site assessments with digital health technologies (DHT) to enable more continuous, personalised, and proactive disease management. Current MS care is often fragmented, limiting timely interventions and patient engagement. MS360° addresses these challenges by introducing a digital-first hybrid framework for continuous data collection through remote monitoring, wearable sensors, and telemedicine. This data can be used to dynamically steer structured patient pathways and trigger targeted on-site assessments and interventions such as neurological examinations, imaging, laboratory assessments, and standardised functional tests based on predefined thresholds and patient profiles. The interaction of multidisciplinary teams, structured care pathways and bidirectional data flow enables timely clinical decision-making, stratified patient management and early detection of disease progression. Digital tools can further enhance patient engagement and lifestyle management, promoting adherence and outcomes. New technologies, including artificial intelligence and digital twins, are being discussed as potential future extensions for precision care, workflow optimisation, and risk prediction. MS360° provides a quality-driven conceptual framework, offering a roadmap for integrating digital innovations into patient-centred MS care.
Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 229 |
| Fachzeitschrift | npj digital medicine |
| Jahrgang | 9 |
| Ausgabenummer | 1 |
| Publikationsstatus | Elektronische Veröffentlichung vor Drucklegung - 6 März 2026 |
| Peer-Review-Status | Ja |
Externe IDs
| ORCID | /0000-0001-8799-8202/work/208075390 |
|---|---|
| ORCID | /0000-0003-0097-8589/work/208075688 |
| Scopus | 105033464388 |