Role of Motion Tracking in Tele‐Assessment of Functional Impairments in Individuals With Knee Osteoarthritis: A Scoping Review Protocol

Knee osteoarthritis (KOA) is a prevalent cause of disability, marked by functional impairments that significantly reduce quality of life. Emerging digital health tools-particularly artificial intelligence (AI) and motion tracking technologies-present promising avenues for remote assessment of these impairments. Despite growing interest, there is a lack of comprehensive synthesis on how these technologies are utilised in remote KOA assessment. This scoping review aims to systematically map existing literature on the use of AI and motion tracking technologies for remote assessment of functional impairments in individuals with KOA. The review will follow the Arksey and O'Malley methodological framework enhanced by the Joanna Briggs Institute (JBI) guidelines and reported in adherence to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Inclusion criteria will be guided by the Population-Concept-Context (PCC) framework: adults (≥ 18 years) diagnosed with KOA (Population), remote assessment using AI and/or motion tracking (Concept), in any healthcare or home-based setting (Context). A systematic search will be conducted across PubMed, Embase, CINAHL, Scopus, IEEE Xplore, and grey literature sources. Screening and data extraction will be performed independently by two blinded reviewers using Covidence, with narrative synthesis and visual mapping of findings. This review is intended to inform clinicians, rehabilitation specialists, digital health innovators, and researchers interested in musculoskeletal care and remote assessment technologies. Findings will be disseminated through peer-reviewed journals, academic conferences, and stakeholder-focused briefs, aiming to inform clinical practice and guide future innovation in digital musculoskeletal health.