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

Next steps include clinical validation using real resuscitation events, integration with electronic medical records for added context, and assessment of impact on team learning outcomes. The complete prompt framework and implementation guide are available on GitHub.

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Publication Details

Journal
Medical Teacher
Published
2026-01-22
DOI
https://doi.org/10.1080/0142159x.2026.2618505
Primary Topic
Healthcare Technology and Patient Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Adam S. Budzikowski, Megan Lee, Rugved B. Parmar
Medical Teacher
Healthcare Technology and Patient Monitoring
article

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

Adam S. Budzikowski, Megan Lee, Rugved B. Parmar
article en

Abstract

Next steps include clinical validation using real resuscitation events, integration with electronic medical records for added context, and assessment of impact on team learning outcomes. The complete prompt framework and implementation guide are available on GitHub.

Medical Teacher
SUNY Downstate Health Sciences University (US)
Openalex Percentile: Top 81%
Healthcare Technology and Patient Monitoring
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