Background and aims: Work-related musculoskeletal disorders (WMSDs) compose an increasingly prevalent problem across Europe, disclosing the limitations of the current approaches for the management of WMSDs. Musculoskeletal complaints are present in more than 40% of European workers and are associated with excessive direct and indirect costs for the society, private companies, families and the individuals living with disability due to WMSDs. The European Knowledge Alliance “Prevent4Work” (P4W) was created to develop and implement new innovative digital tools to improve prevention and current management of WMSDs.
Methods: P4W is a 3-year Erasmus+ Project is a collaboration of higher education institutions and enterprises from Spain, Denmark and Italy. The aim of the project is to develop a mobile-health application, which collects large amounts of data directly from patients with WMSD. Data will be collected from several domains (physical activity, sleep quality, psychosocial factors, work and environment conditions) and connected to a virtual learning platform. Pilot projects with >1500 workers from Denmark, Spain and Italy will be carried out to test the platform.
Results: Big data analysis and machine learning will be used to recommend an individually-tailored educational program, taking into account multifactorial risks for extended sick-leave and chronification. 
Conclusions: P4W aim to create an innovative and easily accessible tool to improve management of WMSDs.
Funding acknowledgements: P4W is founded by EU, Erasmus+ Programme (Agreement n. 2018-2381/001-001 600920-EPP-1-2018-1-ES-EPPKA2-KA).

EUROPEAN KNOWLEDGE ALLIANCE FOR INNOVATIVE MEASURES IN PREVENTION OF WORK-RELATED MUSCULOSKELETAL DISORDERS