OPP002_RPM_Adaptive_Intervention 📄 Overview A device-agnostic SaMD platform that continuously analyzes real-time physiological data from various medical-grade wearables/sensors (e.g., ECG patches, glucose monitors, activity trackers). It uses AI to detect significant deviations from personalized baselines, trigger context-aware alerts for patients and clinicians, and deliver just-in-time adaptive interventions (e.g., medication reminders, behavioral nudges, crisis protocols). Key technologies: 👤 Target users: 👍 Benefits Reduced hospital readmissions and emergency room visits • Earlier intervention in deteriorating conditions, improving patient safety • Optimized disease management and medication adherence • Reduced burden on healthcare systems through remote oversight Use bullets or new lines. 👎 Challenges Ensuring sensor accuracy, reliability, and medical-grade data quality • Mitigating alert fatigue for clinicians and patients • Achieving seamless interoperability with diverse EHR systems and legacy infrastructure • Establishing clear clinical pathways and reimbursement models for RPM services. 📋 Regulatory & Validation Likely SaMD Class IIb or III due to active monitoring and intervention decision support for critical conditions. • Requires extensive clinical validation to demonstrate effectiveness and safety. • Robust cybersecurity measures are essential given the real-time, sensitive health data.