OPP003 📄 Overview A SaMD application leveraging continuous physiological data from connected medical devices (e.g., smart inhalers, glucose monitors, smart patches) combined with EHR data and environmental factors. Its AI models predict the likelihood of acute exacerbations (e.g., COPD, heart failure, asthma) days in advance, alerting patients and clinicians to enable timely, preventive interventions. Key technologies: 👤 Target users: 👍 Benefits Reduced hospitalizations and emergency room visits • Improved quality of life for chronic disease patients • Proactive disease management and personalized care plans • Optimized resource allocation for healthcare providers • Extended healthy lifespan for high-risk individuals Use bullets or new lines. 👎 Challenges High data volume and velocity from continuous monitoring • Ensuring accuracy and reliability of predictions across diverse patient cohorts • Seamless integration into existing clinical workflows • Preventing alarm fatigue for both patients and clinicians • Regulatory validation of predictive accuracy for a medical claim 📋 Regulatory & Validation High likelihood of being classified as Class II or Class III SaMD due to the predictive nature and potential for patient harm if incorrect. • Rigorous clinical validation studies demonstrating predictive accuracy and impact on patient outcomes are mandatory. • Cybersecurity for connected devices and data privacy are critical considerations.