TY - JOUR
T1 - Non-Invasive Remote Monitoring in Heart Failure
T2 - Towards Wearable Devices and Artificial Intelligence Solutions : Short Title: Remote Monitoring and Wearable Devices in Heart Failure
AU - Pizarro, Camila S
AU - Schots, Bas B S
AU - Schuuring, Mark J
AU - van der Harst, Pim
AU - van Es, René
AU - Oerlemans, Marish I F J
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12/4
Y1 - 2025/12/4
N2 - Purpose of Review: This review examines the potential benefits of non-invasive remote monitoring in patients with heart failure (HF), focusing on early detection of clinical deterioration and reducing hospitalizations. Key questions addressed include: Can remote monitoring prevent hospitalisations in patients with HF? Does it improve quality of life and promote self-care? Is it cost-effective? Can artificial intelligence (AI) facilitate its implementation? Recent Findings: 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. Summary: 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.
AB - Purpose of Review: This review examines the potential benefits of non-invasive remote monitoring in patients with heart failure (HF), focusing on early detection of clinical deterioration and reducing hospitalizations. Key questions addressed include: Can remote monitoring prevent hospitalisations in patients with HF? Does it improve quality of life and promote self-care? Is it cost-effective? Can artificial intelligence (AI) facilitate its implementation? Recent Findings: 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. Summary: 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.
KW - Artificial Intelligence
KW - Heart Failure/diagnosis
KW - Humans
KW - Monitoring, Physiologic/methods
KW - Quality of Life
KW - Telemedicine
KW - Wearable Electronic Devices
U2 - 10.1007/s11897-025-00725-w
DO - 10.1007/s11897-025-00725-w
M3 - Review article
C2 - 41343137
SN - 1546-9530
VL - 22
JO - Current Heart Failure Reports
JF - Current Heart Failure Reports
IS - 1
M1 - 44
ER -