Natural hazards increasingly disrupt critical infrastructure and healthcare access, creating an urgent need to translate predictive hazard capabilities into real-time, actionable decision-support for crisis response. This session invites contributions that bridge disaster research and digital health innovation to advance resilient healthcare systems during disasters. We welcome submissions that use AI, geospatial analytics, and multi-source data (e.g., Earth observations, IoT, mobility, health records, social media) to overcome data sparsity and uncertainty in real-time integration under dynamic conditions.

Topics include, but are not limited to, (1) public-facing assistance systems (e.g., AI chatbots, telemedicine) guiding users to care; (2) response optimization using data-driven evacuation and ambulance routing; (3) resource matching and AI-driven logistics for medical supplies; (4) situational awareness via social sensing for rapid needs assessment; and (5) frameworks ensuring health equity and accessible AI for vulnerable populations. This session advances scalable, human-centered AI frameworks to enhance resilience and healthcare continuity during disasters.

• GC - Global Environmental Change
• IN - Informatics
• NH - Natural Hazards
• SY - Science and Society