评估来自人工智能聊天机器人的失眠查询,用于患者教育
Rahul Alapati1, Daniel Campbell2, Nicole Molin2,3
1Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.
概括
聊天GPT可以产生临床准确的患者教育失眠. 它的反应根据提示的复杂性各不相同,以患者为中心的提示产生了更简单的语言.
科学领域:
- 医学中的人工智能.
- 医学教育技术技术 医学教育技术
- 睡眠医学和数字健康
背景情况:
- 像ChatGPT这样的人工智能 (AI) 聊天机器人的整合到医疗保健中,为患者教育提供了潜力.
- 评估人工智能产生的医疗信息的准确性和适用性对于安全有效的患者参与至关重要.
研究的目的:
- 评估ChatGPT对患者教育的失眠相关查询的反应的临床准确性.
- 为了确定不同的提示策略 (没有提示,以患者为中心,以医生为中心,有参考/统计) 如何影响ChatGPT的输出.
主要方法:
- 四组20个失眠查询被输入到ChatGPT,具有不同的提示语境.
- 睡眠医学专家对临床准确性,及时遵守,引用和统计准确性进行了评估.
- 进行了Flesch-Kincaid级别分析以评估可读性,并对即时变化的统计分析.
主要成果:
- 聊天GPT为失眠查询提供了临床准确的答案,尽管准确性和相关性评级显示了较低的interrater可靠性.
- 提示显著影响了响应的复杂性,以患者为中心的提示导致较低的Flesch-Kincaid等级级分数 (8.1) 与其他相比.
- 虽然80%的引用是有效的,但只有25%的引用统计数据得到了证实.
结论:
- 聊天GPT证明了产生临床准确的失眠患者教育材料的潜力.
- 快速工程是定制人工智能响应以满足特定教育需求和目标受众的关键.
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