学生对定制人工智能临床病例伴侣的看法
Andrew P Chastain1,2,3, Chris Roman1,2,3, Kevin M Bogenschutz1,2,3
1Andrew P. Chastain, DMS, PA-C, is an assistant professor at Butler University, Indianapolis, Indiana.
概括
定制生成预训练变压器 (GPT) 工具通过提高临床推理技能来增强医生助理 (PA) 教育. 学生们发现人工智能工具对差异诊断和测试解释有帮助,尽管准确性问题仍然存在.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 发展临床推理 发展临床推理
背景情况:
- 人工智能 (AI) 工具显示出增强医生助理 (PA) 教育的潜力,特别是在临床推理方面.
- 在PA课程中的定制生成预训练变压器 (GPT) 应用上存在有限的研究.
- 这项研究调查了学生使用基于GPT的新型临床推理工具的经验.
研究的目的:
- 评估一年级医生助理 (PA) 学生对定制GPT-4-Turbo临床病例伴侣的经验和看法.
- 评估该工具对各种领域的临床推理技能发展的影响.
- 确定学生报告的益处和AI辅助PA教育的改进领域.
主要方法:
- 一项涉及72名第一年PA学生的混合方法研究,使用交互式GPT-4-Turbo临床病例伴侣.
- 学生参与了基于血病学和病学的苏格拉底式对话案例.
- 使用了参与后的调查 (利克尔特尺度,开放式问题) 和专题分析.
主要成果:
- 81.9%的响应率 (59名学生) 报告该工具对中等至极度有用 (90%).
- 在制定差异诊断 (79.7%),订购诊断研究 (81.4%) 和解释测试 (78.0%) 方面有显著改善.
- 关键主题包括对立即反 (36%) 和详细解释 (36%) 的欣赏,以及对案例内容准确性的担忧.
结论:
- 基于GPT的定制工具可以有效地补充传统的PA教育,提供个性化,按需学习.
- 学生们在临床推理方面取得了显著的进步,但在历史记录技能方面存在局限性.
- 未来的实施需要教师监督和AI识字培训,以解决准确性问题并优化教育价值.
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