Transforming Prosthetic Rehabilitation with Data-driven Gait Analysis: Moving Beyond Subjective Care

Access to innovative gait and mobility testing remains limited for many patients due to outdated assessment methods and restrictive cost barriers. Traditional mobility evaluations in orthotics and prosthetics (O&P) rely heavily on subjective reporting, often failing to provide the objective, longitudinal data needed to justify continued rehabilitation to ensure safe and functional community ambulation. This session will explore how smartphone-based gait analysis, powered by motion intelligence technology, can address these barriers through scalable solutions that improve patient outcomes for individuals with lower limb loss.

This presentation addresses a critical paradigm shift in prosthetic rehabilitation—moving from subjective assessment to data-driven decision-making. During this session, Physical therapists will learn how accessible technology can enhance clinical reasoning, improve documentation for reimbursement, and ultimately expand patient access to appropriate care. By leveraging population-level gait data, clinicians can make more informed decisions about prosthetic componentry, alignment adjustments, and rehabilitation protocols that maximize functional outcomes and community participation.

Incorporation of innovative smartphone-based gait analysis represents a cost-effective, scalable solution that aligns with value-based care models while addressing healthcare disparities by making advanced assessment tools more widely available across diverse practice settings.