Conversational Artificial Intelligence Simulations to Improve Non-Technical Skills Among Anesthesiology Trainees: A Prospective, Mixed-Methods Study
试验速览
- 阶段
- 不适用
- 状态
- 撤回
- 入组人数
- 20
- 主要终点
- Evaluate acceptance of Conversational Artificial Intelligence Simulations using Guided Discussion Interview Question Guide
研究概览
简要总结
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Supportive Care
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 18 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •Participants with reported severe motion sickness
- •Seizure disorder
- •Currently using chronotropic heart medications, such as β blockers
研究组 & 干预措施
AI Group
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.
干预措施: Conversational Artificial Intelligence Simulations (Other)
结局指标
主要结局
Evaluate acceptance of Conversational Artificial Intelligence Simulations using Guided Discussion Interview Question Guide
时间窗: Before simulation
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.
次要结局
- 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)
研究者
Thomas Caruso
Clinical Professor
Stanford University