Conversational AI Study

N/ANot Yet RecruitingNCT06459479

Stanford University20 enrolled

Overview

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.

Study Type

INTERVENTIONAL

Allocation

Purpose

SUPPORTIVE_CARE

Masking

NONE

Enrollment

Conditions

Medical Education

Interventions

Conversational Artificial Intelligence SimulationsOTHER

Use of Conversational Artificial Intelligence Simulations generate medical scenario.

Eligibility

Sex: ALLMin age: 18 YearsMax age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * 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 Exclusion Criteria: * Participants with reported severe motion sickness * Nausea * Seizure disorder * Currently using chronotropic heart medications, such as β blockers

Outcomes

Primary Outcomes

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.

Time frame: Before simulation

Secondary Outcomes

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

Measured with the System Usability Scale (SUS). The scale has 10 items. Scores ranges from 1-5 (1 = strongly disagree and 5 = strongly agree)

Time frame: Immediately after simulation

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

UEQ-S, includes eight items (four from the pragmatic scales Efficiency, Perspicuity, Dependability, and four from the hedonic scales Stimulation and Novelty). Scores range from -3 (min) to 3 (max)

Time frame: Immediately after simulation

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

The Anaesthetist Non-Technical Skills (ANTS) tool previously published by Fletcher et al. translated in French. The ANTS scoring system uses four categories assessing task management, teamworking, situation awareness and decision-making (1 to 4 points by categories). The minimum score is 4 and the maximum 16

Time frame: immediately after simulation

Central Contacts

Thomas Caruso, MD, PhD

CONTACT

6282750341 tjcaruso@stanford.edu

ManYee Suen, MMedSc

CONTACT

6282750341 smy822@stanford.edu

Data from ClinicalTrials.gov

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