For the first time, a study proves the effectiveness of a remote monitoring algorithm.
Recommended since 2021, remote monitoring of heart failure aims to prevent decompensations and reduce hospitalizations. What if, instead of identifying patients at risk of cardiac decompensation, we sought to identify those with no risk? This is the question the recent study “Security and performance of remote patient monitoring for chronic heart failure with Satelia® Cardio: First results from real-world use” invites us to consider.
Jourdain P, Picard F, Girerd N, Lemieux H, Barritault F, et al. Security and performance of remote patient monitoring for chronic heart failure with Satelia® Cardio: First results from real-world use. J Cardiol Cardiovasc Med. 2023; 8: 042-050.
The starting point of a new paradigm in remote monitoring
For the first time, a study proves the effectiveness of a remote follow-up algorithm and focuses on what is called the negative predictive value (NPV). The multicenter study “Security and performance of remote patient monitoring for chronic heart failure with Satelia® Cardio: First results from real-world use” reveals an NPV of 99.43% for a remote follow-up algorithm.
This study marks a real turning point in the research and evaluation of patient remote monitoring. It highlights the importance of remote monitoring to support and reassure doctors by identifying low-risk patients. This could thus allow them to more effectively manage cohorts of patients remotely, relying on a system that ensures continuous monitoring and education of patients on a large scale.
The right patient at the right time
In daily practice, this could translate into better adapted and personalized consultations, with the right patient at the right time, without discrimination. This study paves the way for new perspectives in the field of patient remote monitoring and underscores the importance of continuous innovation to improve patient care.
The full text of the study is available here.
