用于电子病历生成的提示驱动型ChatGPT的评估与实际应用

Evaluation and practical application of prompt-driven ChatGPTs for EMR generation.

作者信息

Ding Hanlin, Xia Wenjie, Zhou Yujia, Wei Lei, Feng Yipeng, Wang Zi, Song Xuming, Li Rutao, Mao Qixing, Chen Bing, Wang Hui, Huang Xing, Zhu Bin, Jiang Dongyu, Sun Jingyu, Dong Gaochao, Jiang Feng

机构信息

Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China.

Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China.

出版信息

NPJ Digit Med. 2025 Feb 2;8(1):77. doi: 10.1038/s41746-025-01472-x.

This study investigates the application of prompt engineering to optimize prompt-driven ChatGPT for generating electronic medical records (EMRs) during lung nodule screening. We assessed the performance of ChatGPT in generating EMRs from patient-provider verbal consultations and integrated this approach into practical tools, such as WeChat mini-programs, accessible to patients before hospital visits. The findings highlight ChatGPT's potential to enhance workflow efficiency and improve diagnostic processes in clinical settings.