Why the study?
Little data exist on remote monitoring in cardiac implantable electronic devices for improved heart failure management, underscoring the need to understand how to integrate new predictive alert algorithms into clinical workflow.
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Discusses the implementation and organizational challenges of integrating the HeartInsight remote monitoring algorithm for early prediction of worsening heart failure into daily clinical practice.
There is strong evidence that remote monitoring in cardiac implantable electronic devices can detect device malfunctions earlier than conventional monitoring and that it can be useful for detecting cardiac arrhythmias, while little data are available for an improved management of heart failure (HF). HeartInsight is a new remote monitoring algorithm developed and validated in the SELENE HF study that combines information from a diverse set of sensors integrated into one alert to detect worsening HF with promising accuracy. However, the shift from detecting technical issues or arrhythmia episodes to early predicting clinical events underscores the need to understand how to properly integrate these tools into the clinical workflow by defining an organizational model and shared guidelines for the management of HF alerts. Here, we critically discuss issues that will be raised by the implementation of this 'enhanced' remote monitoring approach to HF care in daily clinical practice.
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Zanotto et al. (2023) studied this question.
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