Smart Health Insurance Premium Calculation Using Wearable IoT Data
Abstract
In today’s time, health insurance premiums have become generalized. They are mostly calculated using broad demographic factors such as age, gender, and medical history, which can make the premium unfair or inaccurate for many people. To address this problem, we came up with the idea of a Smart Health Insurance Premium System. The basic concept is to use wearable IoT devices to capture real-time lifestyle and health data, including sleep quality, physical activity, heart rate patterns, calorie expenditure, and habit indicators such as smoking or alcohol consumption. The collected data is processed to generate a point-based score for each user. Based on this score, the system dynamically determines a fair and customized insurance premium. In addition, the system provides lifestyle improvement suggestions with the goal of reducing long-term health risks and lowering future premium values. This proposed framework shows how combining IoT, data analytic, and health monitoring can create a more accurate, transparent, and user-centric insurance model, bridging the gap between traditional static premiums and modern data-driven healthcare systems.
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References
R. Kumar et al., “IoT Based Health Monitoring System Using Wearable Sensors,” Volume 10, IJERT 2023.
S. Bharti et al., “Real-Time Health Tracking and Analysis Using Smart Wearables,” Volume 14, IRJET 2024.
Dr. Rohini Patil et al., “Predictive Analytics in Health Insurance Using Machine Learning,” Volume 9, IJRASET 2023.
A. Devi et al., “A Survey on Wearable Devices for Continuous Health Monitoring,” Volume 7, IJERT 2023.
Prof. N. A. Ansari et al., “IoT and Cloud-Based Framework for Personal Health Data Analysis,” Volume 6, IJTIMES 2024.
Y. Chen et al., “Wearable Sensor-Based Activity Recognition for Health Management,” Elsevier Biomedical Signal Processing 2024.
Li Wang et al., “Machine Learning Methods for Health Risk Prediction Using Wearable Devices,” IEEE Access, Volume 12, 2024.
S. Harini et al., “Data-Driven Health Insurance Premium Calculation Using Lifestyle Metrics,” Volume 11, IJSREM 2024.
P. Sharma et al., “IoT-Enabled Personalized Healthcare Monitoring System,” Volume 8, IJCSE 2023.
J. Mayer et al., “Continuous Physiological Monitoring Through Smart Wearables,” Springer Journal of Ambient Intelligence, 2023.
K. Subramanian et al., “Health Score Prediction Using Heart Rate and Sleep Parameters,” Volume 13, IJRECE 2024.
C. Silva et al., “IoT Framework for Real-Time Health Data Collection and Analysis,” Elsevier Computer Methods in Biomedicine, 2024.
A. G. Lopez et al., “Wearable Technology for Health Assessment and Wellness Tracking,” IEEE Sensors Journal, Volume 12, 2023.
R. Sharma et al., “Smart Insurance Models Using Real-Time User Behaviour Data,” Volume 9, IJMTST 2024.
D. Deshmukh et al., “Health Data Analytics for Preventive Healthcare Using IoT,” Volume 8, IJIRSET 2023.
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Copyright (c) 2026 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
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