TeleRehabilitation of Balance clinical and economic Decision Support System

Projektinformationen

TeleRehaB DSS

ID Finanzhilfevereinbarung: 101057747

DOI

10.3030/101057747

Projekt abgeschlossen

EK-Unterschriftsdatum 10 November 2022

Startdatum 1 Dezember 2022

Enddatum 31 August 2026

Finanziert unter

• Health

Gesamtkosten

€ 5 060 563,32

EU-Beitrag

€ 5 060 562,00

Koordiniert durch

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

Periodic Reporting for period 2 - TeleRehaB DSS (TeleRehabilitation of Balance clinical and economic Decision Support System)

Berichtszeitraum: 2024-06-01 bis 2025-11-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

TeleRehaB DSS targets the promotion of AI adoption in everyday clinical practice for balance rehabilitation training. It is the continuation of the HOLOBalance project, funded by the EU Horizon 2020 programme. The HOLOBalance platform delivers exercises demonstrated via a hologram of the physiotherapist (presented via Head-Mounted Display or tablet) and corrected in real time by the hologram prompts, based on performance monitoring via sensors, and aiming to improve balance function in older adults. The TeleRehaB DSS project aims to explore the effectiveness (including cost) of running such programs in comparison with the current standard care for middle-age/older adults with balance disorders/falls due to MCI, vestibular disorders, stroke or long Covid. The clinical study that is currently conducted aims to review treatment results, regarding risk of falls, balance and memory function, based on clinical tests and real-life sensor information. By randomising patients into either a tablet-based or AR-based intervention arm, the study will also isolate the specific impact of the AR technology while collecting information about the program’s safety, performance, and usability. To achieve the goals of this study, an AI-enabled decision support system (DSS) has been developed and deployed to provide suggestive feedback for experts through the entire clinical rehabilitation pathway. The first component of AI models of TeleRehaB DSS assesses prognostic factors for risk of falls, treatment effectiveness, outcomes and side effects at baseline level, utilising a high volume of retrospective data secured for initial training. The second AI pillar of TeleRehaB DSS introduces automated balance intervention planning and management functionality. The DSS generates an optimal set of personalised rehabilitation activities, considering the best clinically effective treatment in conjunction with socioeconomic effectiveness, and eHealth literacy. The latter will be evaluated with a quick and easy tool with simple tasks, to assess patients' level of technological awareness, potentially affecting compliance and adherence to their programs. Finally, the platform enables continuous remote patient monitoring with wearables and IoT sensing devices, providing for rehabilitation programs to be performed at home.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

The project achieved major milestones in management, setting the foundations for a smooth and effective collaboration. An External Advisory Board is fully operational, and the Data Management Plan has been updated, to cover the new clinical site (SRS/IDEA) and GDPR compliance. The Gender Equality Plan remains in effect, integrating sex/gender variables into research efforts. Project visibility was promoted through branding, online presence, and events. Significant progress was made in user-centric platform design and development for the TeleRehaB DSS platform. Following the initial gathering of user requirements, the consortium successfully completed the design assessments for user interfaces and the selection of critical hardware, specifically the final validation of the AR glasses/HMD. The platform's architecture was fully deployed to support the complex data flows, with successful integration of technical components, data repository setup, and security implementation. AI models for prognostic analytics, treatment planning, and activity scoring were developed and trained, significantly enhancing the platform's decision support capabilities. Challenges like software operation issues were addressed through developer collaboration, ensuring clinical assessment readiness. The Clinical Trial commenced in this period and is currently ongoing, scheduled to complete in July 2026. Overall, the project maintained steady progress, with collaborative efforts from technical and clinical partners supporting continued development and validation of AI models and tools, strengthening the TeleRehaB platform's functionality and impact.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

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.

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