The aim of this session is to examine the how data can be used to detect and predict sepsis and inform decision making at global, local, and individual levels. To examine unmet needs in data availability, prediction models and how to overcome these particularly in LMICs (Low- and Middle-Income Countries).

Agenda:

• New Data Initiatives for Monitoring Sepsis Globally
• Data Partnerships: Leveraging Insights from Emerging Infections to Fight Sepsis
• Can AI Models Really Improve Sepsis Outcomes?
• Developing Equitable AI for Sepsis Prediction in Children
• From the Research Lab to the Wards: Designing AI Systems for Patient Safety and Clinical Usability

The speakers are internationally-recognized experts chosen by the World Sepsis Alliance Scientific Advisor Committee:

• Peiling Yap, HealthAI, Switzerland
• Paul Turner, Madihol Oxford Tropical Medicine Research Unit, Cambodia
• Laura Merson, Infectious Disease Data Observatory, United Kingdom
• Paul Elbers, Amsterdam UMC, The Netherlands
• Maria del Pilar Arias, Dr. Ricardo Gutiérrez Children’s Hospital, Argentina
• Chris Paton, University of Otago, New Zealand