| Title | Wearable Health Technology for Preventive Medicine: A Smart Monitoring Approach for Early Diagnosis |
| Research Area | Wearable Devices |
| Abstract | Wearable health technology has emerged as a transformative enabler of preventive medicine by enabling continuous physiological monitoring, early risk detection, and personalized healthcare insights. Devices such as smartwatches, fitness trackers, ECG-enabled wearables, biosensors, and AI-driven medical wearables collect real-time biometric data, enabling healthcare providers to intervene before the onset of severe illness. This paper explores the architecture, functioning, and clinical applications of wearable health systems and their role in early-stage medical assessment. The research also analyzes data security challenges, accuracy limitations, and the integration of artificial intelligence for preventive diagnostics. The results indicate that wearable-driven predictive analytics can reduce hospitalization risk by 20–35% and significantly improve patient lifestyle awareness and chronic disease management. Future scope includes autonomous sensor technology and AI-based medical decision support systems for personalized healthcare. |
| Keywords | Wearable Devices, Preventive Medicine, Remote Monitoring, Biosensors, Smart Healthcare, Telemedicine, AI-based Health Analytics |
| Paper Status | Published |
| Volume | 1 |
| Issue | 4 |
| Published On | 11/08/2025 |
| Published File |
IJSRTD_4860.pdf
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