Ambient AI Decision Support for Trauma Team Leaders in Simulated Resuscitations
Wounds and Injuries · Clinical Decision-Making · Decision Support Systems, Clinical
What this study involves
The registry does not currently label this study as recruiting. Ask about its status before planning a screening visit.
- Study type
- Interventional
- Phase
- Not applicable
- Age range
- 18 years - Not specified
- Sex eligible
- All sexes
- Healthy volunteers
- Accepted
- Participants
- 10 Estimated
These are starting points, not an eligibility decision. The research team must review the full requirements.
About the research
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.
Read the full description
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.
Who may be able to participate?
The list below is the sponsor’s full registry wording. It can include conditions, prior treatment, test results and other requirements. A match in search does not mean you qualify.
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
Understand screeningTreatment, groups and participation
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- Assignment
- Random assignment
- Masking
- Single masked
Coach visible on case set X
Participants lead simulated trauma cases in randomized order, with the AI coach visible on case set X and hidden on case set Y.
Other: Ambient AI trauma coach (visible) · Other: Coach hidden (unassisted control)
Coach visible on case set Y
Participants lead simulated trauma cases in randomized order, with the AI coach visible on case set Y and hidden on case set X.
Other: Ambient AI trauma coach (visible) · Other: Coach hidden (unassisted control)
Ambient AI trauma coach (visible) OTHER
An ambient AI coach that listens to the simulated trauma bay and shows real-time decision-support cards on the team leader's dashboard.
Coach hidden (unassisted control) OTHER
Simulated trauma cases led without the coach's dashboard.
What researchers are measuring
Outcome measures describe what is being studied. They are not proof that a treatment works.
Primary measures
Within-Participant Difference in Team-Leader Performance Score With the Coach Visible Versus Hidden
Time frame: During the study cases (within 8 weeks of starting)
Team-leader performance form with 4 items (critical actions and commands; prioritization and timeliness; diagnostic workup; leadership and communication), each scored from 1 to 5 by blinded attending reviewers; higher scores mean better performance. The per-case score is the mean of the 4 items. The outcome is each participant's mean score with the coach visible minus the mean with the coach hidden.
Secondary measures
Mean Simulation Realism Score on a 4-Item Realism Form
Time frame: After each study case (within 8 weeks of starting)
Simulation-realism form with 4 items (clinical trajectory; patient response and findings; team and environment; decision pressure and complexity), each scored from 1 to 5 (higher means more realistic), completed by participants and by attending reviewers.
Mean Coach Alert-Quality Rating per Item on a 4-Item Form
Time frame: During the study cases (within 8 weeks of starting)
Coach alert-quality form with 4 items (appropriateness; timing; coverage of clinically important omissions; overall quality), each scored from 1 to 5 by attending reviewers (higher is better).
Coach-Experience Rating per Item on a 4-Item Survey
Time frame: After the last study case (within 8 weeks of starting)
Coach-experience form with 4 statements (effectiveness; decision support; usability; trust and reliance), each rated from 1 (strongly disagree) to 5 (strongly agree), completed by participants after the last study case.
Review the complete result tables and limitations in the official record.
Open official results ↗Research locations (1)
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1 locations
Harvard Medical SchoolBoston, Massachusetts, United StatesStatus unknown
Study team and timeline
- Lead sponsor
- Harvard Medical School (HMS and HSDM)
- Study start
- Nov 1, 2026 Estimated
- Primary completion
- Feb 28, 2027 Estimated
- Study completion
- Feb 28, 2027 Estimated
- First posted
- Nov 10, 2026 Actual
- Last updated
- Nov 10, 2026 Actual
Official study contacts
No central contact is listed. Check the locations and the official record.
Official study title
Real-Time Decision Support From an Ambient AI Coach and Trauma Team Leader Performance
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Source: ClinicalTrials.gov API v2. Information is submitted by sponsors and investigators. NLM does not approve the safety or science of all listed studies. Registry disclaimer.
Retrieved: Nov 12, 2026 · Last registry update: Nov 10, 2026