在临床推理案例开发中使用ChatGPT:一种定性研究
Kristin Wong1, Alla Fayngersh1, Christin Traba2
1Medicine, Rutgers University New Jersey Medical School, Newark, USA.
Cureus
|July 2, 2024
概括
像ChatGPT这样的人工智能 (AI) 工具可以有效地为医学学生创建临床推理案例. 然而,教育工作者必须仔细审查人工智能产生的内容的准确性和潜在的偏见.
科学领域:
- 医疗教育 医学教育
- 医疗保健中的人工智能
- 临床推理 临床推理
背景情况:
- 人工智能 (AI) 在医学教育中的整合正在积极讨论中.
- 在培训未来的医生时,评估人工智能的实际应用和伦理考虑是至关重要的.
研究的目的:
- 探索使用ChatGPT开发临床推理案例的优缺点.
- 评估人工智能在提高医学学生教育中的实用性.
主要方法:
- 涉及经验丰富的医学教师的定性研究.
- 教师使用ChatGPT 3.0来生成临床推理案例.
- 聚焦小组进行了分析教师的经验和案例质量.
主要成果:
- 查特GPT被发现是用户友好和高效的案例生成.
- 教师报告说,在实现特定的教育目标方面存在挑战,并指出缺乏创造力.
- 医疗不准确和伪造的信息被发现,需要大量的编辑.
结论:
- 在创建医学课程内容,特别是临床推理案例时,ChatGPT提供了价值.
- 对人工智能产生的内容进行全面的审查和验证至关重要.
- 开发有效的提示策略和解决潜在偏见是未来人工智能集成的关键.
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