"聊天GPT提示公式"能否支持乳腺癌患者在信息需求查询中获得帮助?
I-Ching Hou1,2, Yu-To Chen3, Ya-Ting Kuan1
1Department of Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei City, Taiwan.
Studies in health technology and informatics
|August 8, 2025
概括
这项研究表明,ChatGPT的高级提示工程可以显著提高其回答患者健康问题的能力. 有效的提示提高了清晰度,提供了同情心,并提供了结构化的信息,有利于患者教育.
科学领域:
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
- 患者教育 技术 技术
背景情况:
- 像ChatGPT这样的大型语言模型显示出支持健康信息需求的潜力.
- 有效的沟通对于患者在临床环境中的理解和参与至关重要.
研究的目的:
- 评估不同ChatGPT提示工程策略对响应患者查询质量的影响.
- 确定最优的快速组件,以生成信息丰富和富有同情心的面向患者的医疗信息.
主要方法:
- 使用模拟的患者查询设计和测试了五种不同的ChatGPT提示公式.
- 提示符组件包括任务,上下文,人物,示例和格式.
- 响应质量是根据信息性,清晰度和同理心来评估的.
主要成果:
- 聊天GPT的回复提供了宝贵的信息,特别是复杂的医学术语.
- 包含同情心和结构化格式 (例如,问题列表) 的提示产生了更有益的以患者为导向的答案.
- 先进的提示工程明显提高了ChatGPT输出的质量和实用性.
结论:
- 复杂的提示工程显著提高了ChatGPT在临床环境中解决患者信息需求的能力.
- 未来的患者教育策略可以利用这些先进的提示组件来提高健康素养.
- 建议进行进一步的经验验证,以巩固这些发现.
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