Clinical bottom line
Wearable technology is increasingly integrated into physical medicine and rehabilitation, offering objective, continuous monitoring of patient activity and physiological parameters. Evidence supports wearables’ utility in enhancing rehabilitation outcomes by enabling personalized therapy adjustments, remote monitoring, and improved patient engagement. However, variability in device accuracy, patient adherence, and data interpretation challenges remain. Incorporating wearable data into clinical workflows can augment traditional assessments and support more responsive rehabilitation strategies (Jafleh et al., 2024; Nishio et al., 2025).
What the evidence shows
Jafleh et al. (2024) provide a comprehensive review highlighting wearable devices’ role in chronic disease monitoring, emphasizing their potential to track mobility, heart rate, and activity patterns relevant to rehabilitation.
Nishio et al. (2025) conducted a randomized controlled trial in coronary artery disease patients undergoing remote cardiac rehabilitation, demonstrating that wearables combined with weekly online coaching improved adherence and functional outcomes compared to usual care.
Zhuang et al. (2025) report in a systematic review and meta-analysis that digital health interventions incorporating wearable data significantly enhance exercise capacity and symptom management in chronic obstructive pulmonary disease, a common rehabilitation population.
Diniz et al. (2025) discuss digital twin systems in musculoskeletal applications, where wearables provide real-time biomechanical data to simulate patient-specific rehabilitation scenarios, potentially optimizing therapy plans.
Gitau et al. (2025) review orthopedic rehabilitation, underscoring wearables’ capacity to monitor joint angles, gait, and loading, facilitating early detection of deviations and timely intervention.
Mukund et al. (2025) explore sensor data integration in assistive systems, illustrating how wearables combined with predictive algorithms can anticipate patient needs and adapt rehabilitation devices accordingly.
Kumar et al. (2022) emphasize the role of wearable technology in physical therapy outcome monitoring, noting improved patient motivation and objective progress tracking.
Caveats and uncertainty
Device accuracy varies widely across manufacturers and sensor types, affecting data reliability.
Patient adherence to wearing devices consistently can be suboptimal, limiting data completeness.
Interpretation of wearable data requires clinical validation and integration with traditional assessments.
Privacy and data security concerns may hinder widespread adoption.
Most studies focus on short- to medium-term outcomes; long-term benefits remain to be established.
Heterogeneity in study designs and populations complicates generalization.
How this may change practice
Clinicians should consider incorporating wearable technology to complement clinical evaluations, enabling more precise and dynamic rehabilitation monitoring.
Remote rehabilitation programs can leverage wearables to extend care beyond clinical settings, improving access and adherence.
Interdisciplinary collaboration with data scientists and engineers may enhance data interpretation and personalized therapy adjustments.
Patient education on device use and data privacy is essential to maximize engagement and trust.
Future protocols may integrate wearable-derived metrics as standard outcome measures in rehabilitation trials and practice.