Harvard Medical School (HMS and HSDM)
The goal of this study is to learn whether real-time decision support from an ambient artificial-intelligence (AI) coach improves how physicians lead simulated trauma resuscitations. The main question it aims to answer is: \- Do participants lead simulated trauma resuscitations better when the coach is visible than when it is hidden? Researchers will compare each participant's cases with the coach visible to their own cases with the coach hidden. Participants will: * Lead simulated trauma resuscitations by voice in a trauma-bay simulator, with the coach visible on some cases and hidden on others, in random order * Complete short surveys Blinded attending physicians score each case from a recording.
Participants lead simulated trauma resuscitations by voice as the trauma team leader. A computer simulation plays the patient and the trauma-bay team. The ambient AI coach listens to the simulated bay and shows decision-support cards on a dashboard; it does not speak or change the simulation. Performance is scored by attending physicians blinded to condition.
Inclusion Criteria: * Physician in postgraduate year 3 or above * Has experience leading trauma resuscitations as team leader * Provides electronic informed consent Exclusion Criteria: \- Has never led a trauma resuscitation as team leader
An ambient AI coach that listens to the simulated trauma bay and shows real-time decision-support cards on the team leader's dashboard.
Simulated trauma cases led without the coach's dashboard.
Arctuva estimate
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