在结石诊所患者咨询中使用ChatGPT的评估:一项前性研究
Mohamed Javid1, Mahendra Bhandari2, P Parameshwari3
1Department of Urology, Chengalpattu Medical College, Chengalpattu, Tamil Nadu, India.
Journal of endourology
|February 27, 2024
概括
大型语言模型 (LLM) 显示出在泌尿外科诊所的潜力. 虽然ChatGPT在准确性和同情心方面提供了更高评级的反应,但它还没有准备好直接用于患者.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 大型语言模型 (LLM) 具有提高临床工作流程和患者护理效率的潜力.
- 在专科诊所内的患者咨询中,LLM的应用需要进行彻底的评估.
- 泌尿器科石头诊所在提供及时和全面的患者信息方面面临挑战.
研究的目的:
- 为了前性地评估ChatGPT作为泌尿器科石头诊所患者咨询工具的表现.
- 将ChatGPT产生的反应与经验丰富的泌尿科医生提供的反应进行比较.
- 评估LLM产生的答案的准确性,相关性,同理心,完整性和实用性.
主要方法:
- 收集了来自12名结石患者的61个患者问题.
- 向ChatGPT和泌尿科医生小组 (1级) 提出提示性问题.
- 专家泌尿科医生 (第二级) 盲目评估了使用利克尔特尺度和科恩卡帕测量评分器间可靠性的反应.
主要成果:
- 聊天GPT响应在准确性,同情心,完整性和实用性方面被评为显著更高 (p < 0.001).
- 相关性得分显示,ChatGPT和泌尿科医生之间没有显著差异 (p = 0.051).
- 只有在同理心领域 (k = 0.163) 才发现有意义的互评者协议.
结论:
- 聊天GPT可以补充泌尿科医生的反应,在繁忙的诊所中增加患者信息的价值.
- 像ChatGPT这样的LLM还不适合作为真正的病人信息的唯一来源.
- 建议使用LLM开发全面的常见问题库,用于未来的患者咨询聊天机器人.
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