Impact of Wearable Technology on Heart Failure Management.

Abstract

Background: Heart failure (HF) is a chronic and progressive condition that its management presents significant challenges in both clinical settings and patient self-care. Recent advances in wearable technology offer promising solutions to these challenges by enabling continuous monitoring, early detection of clinical deterioration, and personalized care. This review aims to critically evaluate the impact of wearable technology on HF management Materials and Methods: This narrative systematic review was conducted across multiple databases, including PubMed, Web of Science, and the Cochrane Library, to identify relevant studies published between 2010 and 2024. Studies on wearable devices for HF management and monitoring were included if they reported on clinical trials and provided data on integration into clinical workflows. Studies on other conditions or without original research data or Non-English papers were excluded.

Results: Nine studies were evaluated in this study that were focusing on a variety of technologies ranging from consumer-grade fitness trackers to specialized bioimpedance sensors and wearable cardioverter-defibrillators. These studies demonstrate the potential of wearables to continuously monitor important health metrics, which can lead to early intervention and personalized care. However, there are still challenges to be addressed, including concerns about data accuracy, patient adherence, small sample sizes, and the incorporation of wearable data into clinical practice. While consumer devices are more accessible, their accuracy in a clinical setting is uncertain, while more advanced devices like the "Volum" monitor and BioZ sensors show promise but require further validation.

Conclusion: This review highlights the growing importance of wearable technologies in HF management, actionable insights that can prevent disease progression. However, significant challenges remain, including the need for further validation, device optimization, and data standardization before routine clinical practice. Future advancements should focus on improving device accuracy, patient adherence, and data security, while ensuring equitable access to these technologies.