Practicing Emergency Medicine in the Metaverse: A Novel Mixed Reality Casualty Care Training Platform

Alexandra Rabotin*, Yuval Glick, Ram Gelman, Itay Ketko, Boris Taran, Noam Fink, Ariel Furer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Background: Current casualty care training modalities present several challenges, including limited simulation facilities, instructor dependence, lack of standardization, documentation of trainees’ performance and training personalization. The study presents the design, development and preliminary evaluation of a novel hybrid training platform to address these challenges. Methods: A mixed reality platform was chosen and developed to address field operators’ requirements. The platform is easy to operate and can be set up by laypeople within 20-min in multiple environments. Individual-level training documentation is generated autonomously following each session, evaluating 30 aspects of performance. From this, a unique aggregated dataset emerges as a substrate for executives’ dashboards and intelligent planning of future sessions. Results: An evaluation process took part using simulator-based training in different stages along the project using a questionnaire (Likert-scale based). Fifty military physicians took part in an identical head injury scenario requiring airway management by endotracheal intubation and were immediately surveyed. Conclusion: TrauMR is an agile hybrid training that harbors the potential to address many of the emerging challenges of training for prehospital care in combat and civilian environments.

Original languageEnglish
Pages (from-to)586-594
Number of pages9
JournalSurgical Innovation
Issue number5
StatePublished - Oct 2023
Externally publishedYes


  • acute care surgery
  • simulation
  • surgical education


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