Use of Artificial Intelligence to Assess Trainee Communication Compared to Human Assessment

Part of paid clinical trials in Palo Alto, California.

Sponsor
Stanford University
Study ID
NCT07107880
Status
Recruiting
Apply to this trial

Conditions

  • Communication Skills

Eligibility Criteria

Sex
ALL
Age
18 Years - 99 Years
Healthy Volunteers
Accepted

Interventions

  • Communication Assessment through AI and Human — OTHER
    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.

Study Details

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.

Key Dates

Start date
Nov 10, 2025
Status verified
Apr 2026
Primary completion
Sep 14, 2026
Completion
Nov 14, 2026

Study Design

Enrollment
45 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE

Arms

  • Experimental: Voice Artificial Intelligence (AI) Group
    Participants will remotely engage with an AI-simulated parent of a pediatric patient through a voice call, discussing a clinical scenario concerning their child. The participant's communication skills will be assessed using an artificial intelligence (AI) system and two human evaluators using the same rating scales.

Primary Outcome Measure

Reliability of AI Conversational Performance Assessment [ Time Frame: Immediately after the simulation ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Lucile Packard Children's Hospital StanfordPalo AltoCalifornia94304
Asheen Rama, MD
[email protected]
3106994815
Thomas J Caruso, MD, PhD
[email protected]
6507235728

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By research site
Lucile Packard Children's Hospital Stanford· Palo Alto, CA

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