Integrating digital health and remote monitoring into cardiac rehabilitation offers a paradigm shift toward personalized care, though its long-term clinical effectiveness remains context-dependent.
The integration of digital health and remote monitoring in cardiac rehabilitation represents a paradigm shift toward personalized, continuous care for chronic heart failure, though more real-world evidence is needed to confirm long-term clinical effectiveness.
Chronic heart failure (CHF) represents a major global public health burden. Traditional cardiac rehabilitation models face limitations due to geographical barriers, scheduling conflicts, and high dropout rates, leading to low participation and poor access. This perspective article argues that the deep integration of digital health and remote monitoring represents not merely a technical fix but a paradigm shift toward personalized, continuous, and preventive care. This approach employs a multi-layered framework that combines remote assessment, interactive intervention, and intelligent decision support. It has the potential to increase rehabilitation accessibility and improve patient adherence. However, its impact on long-term clinical effectiveness is context-dependent and varies across patient populations and intervention models. Future progress should rest on three pillars: generating high-quality real-world evidence of long-term value; advancing technology integration and clinical workflow redesign; and bridging the digital divide to ensure health equity. Realizing a patient-centered, intelligent home-based rehabilitation system requires interdisciplinary collaboration and implementation. This is essential for improving long-term outcomes and quality of life for the broad heart failure population.
Gao et al. (Thu,) conducted a review in Chronic heart failure (CHF). Digital health and remote monitoring vs. Traditional cardiac rehabilitation models was evaluated. Integrating digital health and remote monitoring into cardiac rehabilitation offers a paradigm shift toward personalized care, though its long-term clinical effectiveness remains context-dependent.