December 8, 2025Current Heart Failure Reports0 citationsOpen Access
View Full PaperNon-Invasive Remote Monitoring in Heart Failure: Towards Wearable Devices and Artificial Intelligence Solutions
Key Points
- Remote monitoring reduces hospitalizations and mortality in heart failure patients, promoting better self-care.
- Key metrics show long-term cost-effectiveness through reduced hospitalizations and optimized care delivery with AI.
- Assessment using wearable devices and artificial intelligence could enhance predictive accuracy for patient outcomes.
- Future focus should be on identifying effective monitoring strategies for specific heart failure populations, including those advanced.
Abstract
Monitoring with non-wearable and wearable devices reduces hospitalizations by detecting early signs of deterioration and enhancing self-care behaviour. While the initial investment can be high, the long-term cost-effectiveness is supported by reduced hospitalisations. AI is increasingly integrated into monitoring systems, enhancing predictive accuracy and personalized care. Remote monitoring reduces mortality and hospitalisations in patients with HF, with benefits in cost-effectiveness, and the potential to optimize care delivery by integrating AI. Future research should focus on identifying monitoring strategies for specific HF populations, such as patients with advanced HF.