Key result
Wearable digital technologies demonstrate potential for the early detection and remote monitoring of atrial fibrillation, though widespread clinical integration requires further validation of outcomes and diagnostic accuracy.
Why the study?
Wearable mHealth devices are rapidly evolving for arrhythmia assessment, but evidence regarding their accuracy, clinical utility, and integration into diagnostic pathways needed exploration.
Wearable digital technologies offer a promising, non-invasive approach for early detection of cardiac arrhythmias, but require further validation regarding clinical outcomes and integration into existing diagnostic pathways.
Supports exploration of wearables for AF monitoring; leaves open validation of accuracy and outcomes before clinical integration.
Cardiac arrhythmias – the most common of which is atrial fibrillation – are a leading cause of cardiovascular morbidity and mortality. Mobile health (mHealth) and wearable devices are a fast-evolving and disruptive area of innovation in assessing both asymptomatic and symptomatic patients for cardiac rhythm abnormalities. Remote monitoring has been used in cardiovascular health monitoring since the invention of the Holter monitor; however, mHealth devices, ranging from smartphones and watches to rings and textiles, have rapidly evolved in their potential uses. These devices are in the early stages of investigation in prospective clinical trials designed to validate their accuracy and, more recently, assess the potential benefits of their use on cardiovascular outcomes. We explored the potential societal and health benefits of using wearable technologies to improve the early diagnosis of arrhythmias by evaluating the current evidence for their use in clinical practice and proposing a framework for integrating them into diagnostic pathways.
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Adasuriya et al. (2022) conducted a review in Cardiac arrhythmias (Atrial fibrillation). Wearable digital technology (mHealth devices) was evaluated. Wearable digital technologies demonstrate potential for the early detection and remote monitoring of atrial fibrillation, though widespread clinical integration requires further validation of outcomes and diagnostic accuracy.
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