Ambient AI Decision Support for Trauma Team Leaders in Simulated Resuscitations
Wounds and Injuries · Clinical Decision-Making · Decision Support Systems, Clinical
De qué trata este estudio
El registro no identifica actualmente este estudio como reclutando. Consulta su estado antes de planificar una evaluación.
- Tipo de estudio
- De intervención
- Fase
- No aplica
- Rango de edad
- 18 años - No especificado
- Sexo admitido
- Todos los sexos
- Voluntarios sanos
- Aceptados
- Participantes
- 10 Estimado
Estos son puntos de partida, no una decisión de elegibilidad. El equipo debe revisar todos los requisitos.
Las explicaciones y la navegación están en español. Los textos proporcionados por el registro, incluidos títulos, resúmenes y criterios, se conservan en su idioma original. Puedes pedir orientación en español a WCR.
Acerca de la investigación
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.
Leer la descripción completa
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.
¿Quién podría participar?
La lista siguiente contiene el texto del patrocinador. Puede incluir condiciones, tratamientos previos, resultados de pruebas y otros requisitos. Aparecer en tu búsqueda no significa que califiques.
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
Entiende la evaluación inicialTratamiento, grupos y participación
El registro puede describir tratamientos y duración sin incluir un calendario completo. Pide al equipo las visitas, procedimientos, riesgos, costos y alternativas. Mantén tu atención habitual salvo que tu médico te indique un cambio.
- Asignación
- Asignación al azar
- Enmascaramiento
- Enmascaramiento simple
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.
Qué evalúan los investigadores
Estas medidas indican qué se estudia. No prueban que un tratamiento funcione.
Medidas principales
Within-Participant Difference in Team-Leader Performance Score With the Coach Visible Versus Hidden
Plazo: 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.
Medidas secundarias
Mean Simulation Realism Score on a 4-Item Realism Form
Plazo: 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
Plazo: 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
Plazo: 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.
Revisa las tablas completas y sus limitaciones en el registro oficial.
Abrir resultados oficiales ↗Centros de investigación (1)
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1 centros
Harvard Medical SchoolBoston, Massachusetts, United StatesEstado desconocido
Equipo y fechas
- Patrocinador principal
- Harvard Medical School (HMS and HSDM)
- Inicio del estudio
- 1 nov 2026 Estimado
- Finalización primaria
- 28 feb 2027 Estimado
- Finalización del estudio
- 28 feb 2027 Estimado
- Primera publicación
- 10 nov 2026 Real
- Última actualización
- 10 nov 2026 Real
Contactos oficiales del estudio
No hay un contacto central indicado. Revisa los centros y el registro oficial.
Título oficial del estudio
Real-Time Decision Support From an Ambient AI Coach and Trauma Team Leader Performance
Consulta a Wellness Clinical Research
Tu mensaje va a WCR, incluso si otra organización realiza este estudio. WCR puede orientarte, pero podría no realizar este estudio, tener acceso a su equipo ni poder inscribirte.
Fuente: API v2 de ClinicalTrials.gov. Patrocinadores e investigadores envían la información. La NLM no aprueba la seguridad ni la ciencia de todos los estudios registrados. Aviso del registro.
Consultado: 12 nov 2026 · Última actualización del registro: 10 nov 2026