Continuous, real-world cardiac data collected outside clinic walls may be one of the most underutilized assets in modern cardiovascular care — and the gap between device capability and clinical practice is closing faster than most physicians appreciate. A comprehensive review published in the European Heart Journal maps exactly where wearable technology stands today and what barriers are slowing its translation into routine cardiology workflows.
The analysis covers the full cardiovascular continuum, from lifestyle optimization — tracking physical activity and sleep quality through motion and biometric sensors — to active disease management in conditions such as heart failure. Smartwatches and activity trackers, the dominant device class, convert previously invisible physiological patterns into longitudinal data streams that capture heart rate, rhythm irregularities, and behavioral metrics over months or years. The review also addresses the growing role of artificial intelligence in interpreting these high-density data feeds, identifying actionable signals from what would otherwise be unmanageable noise for busy clinicians. Crucially, the authors identify key structural obstacles: inconsistent device validation standards, heterogeneous data outputs, poor interoperability with existing electronic health records, and the absence of standardized clinical workflows for acting on wearable-derived data.
This review arrives at a pivotal moment. Consumer wearables now detect atrial fibrillation with sensitivity approaching clinical-grade ECG patches, and several large randomized trials — including the Apple Heart Study — have already demonstrated population-scale screening feasibility. Yet the field remains largely observational, and the evidence base for wearable-guided intervention improving hard cardiovascular outcomes (hospitalizations, mortality) is still thin. The fundamental challenge is not the technology itself but the human and institutional infrastructure around it: how clinicians triage alerts, how liability is managed, and how data integrates into care decisions. For health-conscious adults, the practical implication is that their wrist-worn device may already be detecting clinically meaningful signals — but healthcare systems are not yet reliably equipped to act on them systematically.