评估和实践应用快速驱动的ChatGPTs用于EMR生成
Hanlin Ding1,2,3, Wenjie Xia1,2, Yujia Zhou4
1Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China.
NPJ digital medicine
|February 2, 2025
概括
这项研究表明,快速工程可以优化ChatGPT,用于生成用于肺结节查的电子病历 (EMR). 这项技术可以提高临床工作流程效率和诊断过程.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 肺结节查产生了大量的患者数据,需要有效的记录管理.
- 传统的电子医疗记录 (EMR) 生成可能耗时,影响临床工作流程.
- 快速驱动的人工智能 (AI) 为自动化临床文档提供了潜在的解决方案.
研究的目的:
- 评估快速工程在优化ChatGPT生成EMR时的有效性.
- 评估ChatGPT在将患者提供者口头咨询转化为结构化的EMR方面的表现.
- 探索将人工智能生成的EMR集成到面向患者的工具中,用于访问前的信息收集.
主要方法:
- 使用快速工程技术来引导ChatGPT在EMR生成中.
- 评估了ChatGPT在从转录的口头咨询中创建EMR的准确性和完整性.
- 开发并测试了原型工具 (例如微信小程序),用于患者访问前输入数据.
主要成果:
- 快速工程显著提高了ChatGPT生成相关和准确EMR的能力.
- 人工智能模型展示了从患者-提供者对话中提取关键信息的能力.
- 综合工具显示了在临床接触之前简化患者数据收集的潜力.
结论:
- 快速优化的ChatGPT是一个可行的工具,用于提高EMR生成在肺结节查.
- 这种AI应用程序可以提高临床工作流程的效率和诊断准确度.
- 利用这项技术的患者可访问的工具可以赋予个人权力并优化医疗保健服务.
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