
New Study from Implicity Demonstrates The Ability of New Proprietary Algorithm to Reduce Alert Burden During Patient Monitoring for Atrial Fibrillation
10/27/23 (written by: Scott Gleason) Implicity, a company focused on remote patient monitoring for cardiac conditions, has revealed the results of a clinical study published in the Cardiovascular Digital Health Journal.
The study aimed to address issues related to the notification of atrial fibrillation (AF) burden by cardiac implantable electronic devices (CIEDs). While CIEDs are crucial for AF detection, the notifications they generate are often unrelated to clinical AF classifications and can overwhelm caregivers with time-consuming reviews. To alleviate this, a new proprietary algorithm was developed, based on the European Society of Cardiology’s AF classification. The study, conducted from 2017 to 2022 across 68 medical centers, analyzed data from 4162 CIED recipients who underwent remote monitoring. The algorithm successfully reduced the total number of AF-related alerts by identifying clinically significant AF events, offering a more streamlined approach for caregivers.
Continuous remote monitoring plays a crucial role in managing AF patients by enabling early intervention and treatment, reducing complications like stroke and heart failure.