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

Stanford University

Status: Not yet enrolling

Conditions: Communication Skills

Treatments: Other: Communication Assessment through AI and Human

Study type: Interventional

Funder types: Other

Identifiers

NCT07107880

81684

Details and patient eligibility

About

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.

Full description

The goal of this study is to evaluate the accuracy of CMAI platform to assess participant performance following a voice-based AI simulation designed to help trainees practice disclosing medical errors. The platform will feature a custom clinical case, created using CMAI's patient creation tool, involving a discussion with the parent of a child who suffered a dental injury that occurred during intubation. The platform will provide an audio-based, simulated encounter with the parent enabling the participant to interact with, and then assess trainee communication performance, followed by the delivery of questionnaires to the trainee to determine usability and satisfaction. A human evaluator will also assess the trainees' performance using the same scales, and the investigators will compare the AI performance evaluation to the human evaluation. This study will allow the investigators to determine:

1. Reliability of the performance assessments of the CMAI platform compared to human raters
2. Usability for the CMAI audio voice model for simulated patient encounters
3. Satisfaction related to an innovative, educational technique

By evaluating these domains, we aim to determine the educational value of using simulated voice communication for training in emotionally complex, clinical scenarios.

Enrollment: 45 estimated patients

Sex: All

Ages: 18 to 99 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Participant's must be 18 years of age or older
• Graduate medical trainess such as residents and fellows at all levels of training excluding PGY1 trainees at Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University
• Able to speak and understand English
• Willing and able to provide consent to participate in research
• Able to participate in Artificial Intelligence communication simulation

Exclusion criteria

• Non-English speaker
• unable to provide consent to participate in research
• individual with no access to the necessary technology (internet, computer/smart device) required for participating in the digital, voice-based interaction with the AI platform

Trial design

Primary purpose: Supportive Care

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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45 participants in 1 patient group

Voice Artificial Intelligence (AI) Group

Experimental group

Description:

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.

Treatment:

Other: Communication Assessment through AI and Human