The selection of the (m)IoT devices/sensors was finalised, and the implementation of the workflows and services was successfully completed and deployed. Consequently, the effective use of the platform within the ongoing clinical study (launched August 2025) is now yielding advanced data for large-scale analysis of the pilot study datasets. The fully developed prognostic analytics models, based on retrospective data, have already offered valuable insights on the identification of predictors for clinical endpoints like risk of falls and treatment effectiveness. These developments are now contributing to the research field of data analytics beyond the state of the art, integrating socioeconomic factors to support patient outcomes as well as efficient resource management. Moreover, the ethical, legal, and regulatory aspects have been addressed to pave the ground for the clinical study. The stakeholders' map has been finalised, identifying main groups such as patients, carers, healthcare professionals and administrators, researchers, data analysts, and technology providers, with group-specific communication means being elaborated. Stakeholder involvement is an ongoing task throughout the project, aiming to assess and project the results into medium-term outcomes and long-term impacts in terms of clinical outcomes and socioeconomic benefits compared to the standard of care. In the first reporting period, the primary groups targeted were the direct end-users: patients, carers, physiotherapists, and treating clinicians. In the second reporting period, as the clinical trial study results are being collected and assessed, communication to other stakeholders was intensified among health administrators and policy makers.
