June 6, 2026, 2:45 pm - 4:15 pm
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Learning Objectives:
- Examine the strengths and limitations of current anesthesia incident reporting systems, including challenges with underreporting, variable data quality, and limited feedback mechanisms.
- Evaluate emerging models of automated and electronic health record–integrated surveillance, and their potential to enhance consistency, reduce bias, and improve detection of adverse events.
- Identify future directions for anesthesia safety learning systems and differentiate between high-resource, high-rigour reporting models.