RPM-003 📄 Overview An RPM system focused on proactive lifestyle management for chronic conditions like Type 2 Diabetes, hypertension, or obesity. It monitors activity, sleep, basic vitals, and dietary intake (via smart journals or camera-based logging). Leveraging behavioral science principles, it delivers highly personalized and adaptive 'nudges' and coaching interventions (e.g., activity prompts, mindful eating reminders, stress management techniques). The AI adapts intervention timing and type based on real-time biometric data, patient engagement patterns, and expressed preferences, integrating optionally with human health coaching. Key technologies: 👤 Target users: 👍 Benefits Improved patient adherence to lifestyle changes and medication • Better control of chronic conditions (HbA1c, BP, weight) • Sustained patient engagement over long periods • Reduced risk of disease progression and complications • Empowerment of individuals for self-management Use bullets or new lines. 👎 Challenges Maintaining long-term patient engagement and avoiding 'app fatigue' • Ensuring personalization at scale while respecting privacy • Accurate and unobtrusive dietary tracking • Addressing cultural and socio-economic factors influencing behavior • Integrating effectively with existing primary care workflows 📋 Regulatory & Validation Depending on the specific claims, it could range from a wellness app (not SaMD) to a Class IIa SaMD if making therapeutic claims for disease management. Privacy for sensitive behavioral and health data is a critical aspect.