评估ChatGPT对有关触发指治疗常见问题的答案的质量
Mehmet Can Gezer1, Mehmet Armangil2
1Department of Orthopedics and Traumatology, Mamak State Hospital, Ankara-Türkiye.
概括
生成式预训练变压器 (ChatGPT) 提供中等质量的触发指信息,但需要专家审查. 需要改进患者的理解,特别是那些健康素养较低的人.
科学领域:
- 医疗保健中的人工智能
- 医疗信息学 医疗信息学
- 患者教育 技术 技术
背景情况:
- 评估生成预训练变压器 (ChatGPT) 对患者相关触发指查询的准确性和可靠性.
- 评估人工智能系统在医疗治疗前增强患者教育的潜力.
研究的目的:
- 评估ChatGPT在回答患者关于触发指的问题上的准确性和可靠性.
- 在这种情况下,确定人工智能产生的内容是否适合患者教育.
主要方法:
- 从患者资源和文献中编制了十个常见的触发指问题.
- 向ChatGPT提出问题,并使用JAMA基准标准和DISCERN仪器评估答案.
- 使用Flesch-Kincaid等级水平评估响应可读性.
主要成果:
- 聊天GPT的响应平均DISCERN分数为42,表示质量"适度".
- 60%的答案是令人满意的,但40%的答案有缺陷;指出缺乏科学参考.
- 可读性处于大学水平,这给健康素养较低的患者带来了挑战.
结论:
- 这是关于ChatGPT用于触发指患者教育的第一个研究.
- 聊天GPT提供合理的一般信息,但需要专家监督可靠性.
- 改进是必要的,以提高更广泛的患者受众的可访问性和可理解性.
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