American journal of physiology. Renal physiology
23 Jul 2026 Smartwatches in the digital health ecosystem for health monitoring in patients with chronic kidney disease and kidney failure: opportunities and challengesSmartwatches are widely used by the general population as tools to promote wellness. Modern smartwatches can monitor arterial oxygen saturation, blood pressure, heart rate, arrhythmias, physical activity, sleep patterns, falls and body composition. In individuals with chronic illnesses, smartwatches may support improved self-care and patient empowerment, support advanced phenotyping by providing digital biomarkers, enable early detection of clinically relevant changes in physiological parameters, and facilitate remote patient monitoring. Patients with chronic kidney disease, particularly those with kidney failure, often experience multiple abnormalities in physiological parameters and body functions. These disturbances may go undetected during routine clinical visits or HD treatments, yet they can significantly impact outcomes and may be amendable through therapeutic interventions. Especially when integrated with data from electronic health records and medical devices such as HD machines, smartwatches may be part of a digital ecosystem, supporting personalized precision care and patient empowerment. However, use of smartwatches in healthcare also can produce false positive signals, which can lead to patient anxiety and potentially increase healthcare utilization and contribute to digital inequity. At present, their potential and challenges of smartwatches in kidney disease are largely unexplored. To fill this gap, this review aims to provide a comprehensive overview of smartwatch-based applications in health monitoring, highlighting both opportunities and limitations in patients with chronic kidney disease and kidney failure. Despite promises for future healthcare implementation, the lack of validation studies for clinical grade measurements presently still precludes the use of smartwatches for clinical decision making.
