WEARABLE HEALTH TECHNOLOGIES IN PREVENTIVE MEDICINE: SOCIAL, BEHAVIORAL, AND CLINICAL IMPLICATIONS – A LITERATURE REVIEW
DOI:
https://doi.org/10.31435/ijitss.2(50).2026.5470Keywords:
Wearable Devices, Digital Health, Health Monitoring, Sleep Tracking, Preventive Medicine, Disease PreventionAbstract
Research Objective: The purpose of this literature review is to assess the current state of knowledge regarding wearable health technologies and their role in preventive medicine, with particular emphasis on their clinical, behavioral, and social implications. This article focuses on the impact of wearable devices on the cardiovascular system, includingatrial fibrillation detection and sleep monitoring. Furthermore, the impact of these devices on changing patient health behaviors and their integration into the healthcare system was discussed.
Methods: This article is literature review hich synthesizes 33 articles on the impact of wearable devices on sleep monitoring and preventive medicine, particularly cardiovascular diseases. The review focused on themes such as measurement accuracy, clinical applications, technological advancements, and behavioral and social impacts.
Results: Wearable devices are advanced tools capable of continuously monitoring physiological parameters. The integration of sensors, wireless communication technologies, and artificial intelligence enables real-time data collection and predictive analysis. These devices aid in the early detection of cardiovascular abnormalities (e.g., atrial fibrillation), sleep disorders, and metabolic conditions. This article addresses the limitations of measurement accuracy and challenges associated with data interpretation. Furthermore, behavioral benefits are identified, including increased health awareness and motivation for physical activity.
Conclusion: Wearable technologies, thanks to their continuous monitoring capabilities, can be a key to early diagnosis and behavior modification. Their effectiveness depends on technological capabilities, user engagement, and the healthcare system's readiness to integrate patient-generated data. To increase their importance in medicine, we must focus on standardization, algorithm transparency, cybersecurity, and equal access for all users.
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Copyright (c) 2026 Ewa Maria Polewczak Karp, Agnieszka Szwed, Aleksandra Sołtys, Daria Aleksandra Warzocha-Żurek, Katarzyna Anna Borzęcka , Katarzyna Wawrzonek, Krystian Andryszko, Marcelina Dymon, Natalia Matylda Ziemba-Furgała, Paulina Krysa

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