2 📄 Overview A comprehensive SaMD platform combining continuous physiological data from clinical-grade wearables/sensors (e.g., HR, HRV, SpO2, glucose, activity) with AI-driven analytics to detect subtle deteriorations or risk factors in patients with chronic conditions or post-acute care. It provides clinicians with a prioritized dashboard of alerts and insights, enabling timely, proactive interventions and telehealth consultations. Key technologies: 👤 Target users: 👍 Benefits Reduced hospital readmissions and emergency visits • Earlier detection and intervention for health deteriorations • Improved chronic disease management and quality of life • Enhanced care coordination between patients and providers Use bullets or new lines. 👎 Challenges Interoperability with existing EHR systems and clinical workflows • Minimizing alert fatigue for clinicians through intelligent prioritization • Ensuring data accuracy and reliability from diverse sensors • Developing sustainable reimbursement models for RPM services 📋 Regulatory & Validation Clearly classified as SaMD (likely Class II) due to diagnostic/monitoring claims. • Requires robust cybersecurity and data privacy, especially for protected health information. • Extensive clinical validation required for sensitivity, specificity, and impact on patient outcomes.