Use of Artificial Intelligence to Assess Trainee Communication Compared to Human Assessment
NCT07107880 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 45
Last updated 2026-04-24
Summary
This study will evaluate whether a web-based artificial intelligence platform (AI) (Clinical Mind AI \[CMAI\] Stanford, CA), can assess communication skills in anesthesiology trainees, including residents and fellows, in the setting of disclosing medical errors. All participants will participate in an AI-generated simulation by using the platform remotely, and CMAI will assess trainee performance immediately after the simulation.
Conditions
- Communication Skills
Interventions
- OTHER
-
Communication Assessment through AI and Human
Participants will remotely engage in an AI-generated simulation that presents an voice-based conversation with a simulated parent of a pediatric patient. The scenario involves discussing a clinical scenario concerning their child. Following the simulation, the participant's communication skills will be assessed using an artificial intelligence (AI) system trained to evaluate the key aspects of communication using standardized rating scales. In addition, two human evaluators will assess the participant's communication skills using the same rating scales.
Sponsors & Collaborators
- lead OTHER
Principal Investigators
-
Thomas Caruso, MD, PhD · Stanford University
Study Design
- Allocation
- NA
- Purpose
- SUPPORTIVE_CARE
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 99 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-11-10
- Primary Completion
- 2026-09-14
- Completion
- 2026-11-14
Countries
- United States
Study Locations
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