In this panel, experts in anesthesiology, weather analytics, and spatial science will explore innovative, data-driven approaches to crisis management for healthcare systems during hurricanes. With climate change intensifying the frequency and severity of extreme weather events, healthcare facilities face unprecedented challenges in ensuring continuity of care and patient safety during crises. This session will delve into real-time data utilization from recent hurricanes, focusing on the application of predictive weather analytics and spatial data to enhance decision-making in hospital operations and emergency response. The interdisciplinary panel will share insights from hurricanes like Helene and Milton, demonstrating how to anticipate challenges, optimize resource allocation, and refine patient safety protocols by integrating data streams from health, weather, and geospatial information systems. Attendees will gain actionable strategies for applying these insights within their own organizations to bolster crisis readiness and resilience.
Moderator:
Allan Simpao, MD, MBI
Children's Hospital of Philadelphia
Philadelphia, PA
Speakers:
Mapping the Crisis: Utilizing Geospatial Analytics for Healthcare Logistics and Accessibility in Hurricane and Natural Disaster Response
Jonathan Tan, MD, MBI, MPH, FASA
Children's Hospital Los Angeles, Los Angeles, CA
Ensuring Clinical Continuity During Natural Disasters: Leadership and Leveraging Operational Data to Safeguard Patient Care and Staff Wellbeing in Hurricanes
Mohamed Rehman, MD
Saint Petersburg, FL
Learning Objectives
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Identify the critical data sources available during hurricanes, including health operations data, extreme weather analytics, and spatial information, and understand their role in comprehensive hospital crisis management
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Demonstrate how to integrate real-time weather and spatial data with hospital operational workflows to predict and prepare for resource strain and patient safety risks during hurricanes
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Evaluate case studies from recent hurricanes to apply best practices in interdisciplinary data-driven crisis response to healthcare facilities