Wearable devices enable continuous monitoring of patient metrics, supporting data-driven medical decisions. Key metrics include heart rate, physical activity, sleep patterns, blood oxygen levels, and, for some devices, blood pressure and glucose levels. Benefits - Continuous health monitoring outside clinical settings. - Early detection of health issues. - Enhanced patient engagement in health management. - Improved management of chronic diseases (e.g., diabetes, hypertension). Case Studies Demonstrates wearable applications, such as continuous glucose monitoring for diabetes, arrhythmia detection for heart health, and sleep tracking for sleep disorders. Challenges - Data accuracy variability. - Privacy and security of patient data. - Integration with Electronic Health Records (EHRs). Healthcare Integration - Wearable data collection via apps and cloud storage. - EHR integration through standards like FHIR. - Remote patient monitoring (RPM) programs. Future Opportunities The potential of AI in analyzing wearable data for predictive health, customizing patient care, and using aggregated data for public health insights. Ethical and Legal Considerations Focuses on data privacy, equitable access, and adherence to regulations like HIPAA and GDPR. Conclusion Wearables offer significant benefits for patient care but face challenges in integration, privacy, and data reliability.