Multimodal AI for automated resuscitation debriefing: Feasibility of timeline reconstruction using commercially available tools

Key Points

• This research aims to explore the feasibility of using multimodal AI for reconstructing timelines during resuscitation debriefing.
• Explored the use of commercially available AI tools for timeline reconstruction.
• Planned integration with electronic medical records to enhance data context.
• Outlined steps for future clinical validation using actual resuscitation events.
• Initial findings suggest that AI can effectively assist in debriefing.
• Integration with electronic records may improve data accuracy and context.
• Potential positive impact on team learning outcomes was noted.