Key result
Wearable devices expand longitudinal cardiovascular monitoring, yet integration and workflow challenges limit clinical adoption.
Wearable devices offer novel opportunities for longitudinal cardiovascular monitoring and disease prevention, though clinical integration requires overcoming significant methodological and workflow barriers.
Wearable devices are transforming cardiovascular medicine by enabling continuous monitoring of physiologic and behavioural measures outside of traditional clinical settings. Smartwatches and activity trackers, the most widely used wearables, employ motion and biometric sensors to measure physical activity, sleep quality, heart rate, and rhythm. By converting health goals into objective, quantifiable measures, wearable devices empower patients to assume a more active role in their health while providing clinicians with novel opportunities for longitudinal, real-world assessment. Clinical applications span the cardiovascular continuum from lifestyle interventions targeting physical activity and sleep to the remote management of chronic conditions such as heart failure. Widespread clinical adoption of wearables remains limited by challenges, such as variability in device methodology, data outputs, validation, and intended use; incompatibility with existing electronic health records; and the lack of standardized, evidence-based workflows for clinicians to efficiently interpret and act upon wearable data. This review summarizes the current landscape of wearable technologies in cardiovascular medicine by highlighting key clinical applications, evidence gaps in the existing literature, the role of artificial intelligence, and barriers to implementation. We discuss strategies to enhance clinical integration and strengthen the current evidence base while also providing practical guidance to help clinicians navigate commonly encountered clinical scenarios.
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Hughes et al. (2026) conducted a review in Cardiovascular disease. Wearable devices was evaluated. Wearable devices offer novel opportunities for longitudinal cardiovascular monitoring, though clinical adoption is limited by device variability, data integration challenges, and lack of workflows.
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