Remote monitoring of cardiac implantable electronic devices enables early detection of subclinical heart failure deterioration, but widespread implementation is hindered by heterogeneous protocols and inadequate reimbursement.
Remote monitoring of CIEDs using multiparametric algorithms can predict HF events, but standardized workflows and reimbursement models are needed for broader implementation.
Remote monitoring (RM) of cardiac implantable electronic devices (CIEDs) has evolved from simple device integrity checks to a cornerstone of personalized heart failure (HF) management. By enabling early detection of subclinical deterioration, CIED-based RM supports proactive clinical interventions, potentially reducing hospitalizations and improving outcomes. Multiparametric algorithms such as HeartLogic, TriageHF, and HeartInsight integrate hemodynamic and arrhythmic parameters to predict HF events with good sensitivity. However, despite increasing evidence of clinical and economic benefits, RM implementation remains inconsistent due to heterogeneous protocols, data latency, and inadequate reimbursement structures. This review summarizes current evidence, operational challenges, and future opportunities for integrating remote CIED monitoring into comprehensive HF care pathways, highlighting the role of artificial intelligence and the need for standardized workflows and reimbursement models.
Calvanese et al. (Fri,) conducted a review in Heart failure. Remote monitoring of cardiac implantable electronic devices vs. Standard care was evaluated. Remote monitoring of cardiac implantable electronic devices enables early detection of subclinical heart failure deterioration, but widespread implementation is hindered by heterogeneous protocols and inadequate reimbursement.
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