Conversational AI Study

NCT06459479 | Withdrawn

• 1 other identifier: 75964
• Study Type: interventional
• Target: N/A
• Locations: 0 countries
• Sites: N/A

Brief Summary

This is a prospective, collaborative, mixed-methods study which includes anesthesiology trainees receiving one active intervention - a conversational artificial intelligence (CAI) simulation. The goal is to explore the capability of AI to provide high-fidelity simulations that can ultimately improve how healthcare professionals handle difficult conversations such as disclosing medical errors or mistakes.

Conditions

Medical Education

Keywords

artificial intelligence

Outcome Measures

Primary Outcomes (1)

• Evaluate acceptance of Conversational Artificial Intelligence Simulations using Guided Discussion Interview Question Guide

  Guided Discussion Interview Question Guide contains 6 questions focusing 3 areas including Attitudes and Opinions, Perceptions and Summation question. All the questions are open-ended questions.

  Before simulation

Secondary Outcomes (3)

• Evaluation of Conversational Artificial Intelligence Simulations usability via the System Usability Scale (SUS)

  Immediately after simulation

• Evaluation of Conversational Artificial Intelligence Simulations usability via the User Experience Questionnaire (UEQ-S).

  Immediately after simulation

• Evaluation of the reliability of AI quantitative assessment of non-technical performance compared to expert human assessors

  immediately after simulation

Study Arms (1)

AI Group

EXPERIMENTAL

Participant will be using OpenAI's ChatGPT4o's application. For the purposes of this medical error scenario, the CAI will have a standardized prompt to simulate an upset parent whose child recently had surgery in which there was a medical error involving a tooth injury from an intubation. Following a scripted briefing, simulation will be initiated.

Other: Conversational Artificial Intelligence Simulations

Interventions

Conversational Artificial Intelligence Simulations OTHER

Use of Conversational Artificial Intelligence Simulations generate medical scenario.

AI Group

Eligibility Criteria

• Age: 18 Years - 18 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)

You may qualify if:

• Hospital providers, including nurses, physician assistants, physicians, physician trainees, and other healthcare workers at Lucile Packard Children's Hospital (LPCH) and affiliated facilities who communicate with patients daily will be included

You may not qualify if:

• Participants with reported severe motion sickness
• Nausea
• Seizure disorder
• Currently using chronotropic heart medications, such as β blockers

Sponsors & Collaborators

• Stanford University: lead

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: SUPPORTIVE CARE
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Clinical Professor

Study Record Dates

• First Submitted: June 10, 2024
• First Posted: June 14, 2024
• Study Start: August 1, 2025
• Primary Completion (Estimated): July 31, 2026
• Study Completion (Estimated): July 31, 2026
• Last Updated: April 29, 2026

Record last verified: 2026-04

Data Sharing

• IPD Sharing: Will not share