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

IF 15.1 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES NPJ Digital Medicine Pub Date : 2025-02-02 DOI:10.1038/s41746-025-01472-x
Hanlin Ding, Wenjie Xia, Yujia Zhou, Lei Wei, Yipeng Feng, Zi Wang, Xuming Song, Rutao Li, Qixing Mao, Bing Chen, Hui Wang, Xing Huang, Bin Zhu, Dongyu Jiang, Jingyu Sun, Gaochao Dong, Feng Jiang
{"title":"Evaluation and practical application of prompt-driven ChatGPTs for EMR generation","authors":"Hanlin Ding, Wenjie Xia, Yujia Zhou, Lei Wei, Yipeng Feng, Zi Wang, Xuming Song, Rutao Li, Qixing Mao, Bing Chen, Hui Wang, Xing Huang, Bin Zhu, Dongyu Jiang, Jingyu Sun, Gaochao Dong, Feng Jiang","doi":"10.1038/s41746-025-01472-x","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"6 1","pages":""},"PeriodicalIF":15.1000,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Digital Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41746-025-01472-x","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
即时驱动ChatGPTs在EMR生成中的评估与实际应用
本研究探讨了提示工程的应用,以优化提示驱动的ChatGPT在肺结节筛查过程中生成电子医疗记录(EMRs)。我们评估了ChatGPT在从患者-提供者口头咨询生成电子病历方面的表现,并将这种方法整合到实用工具中,如微信小程序,患者可以在医院就诊前使用。研究结果强调了ChatGPT在提高工作流程效率和改善临床诊断过程方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
期刊最新文献
The doctor is not in, but the Chatbot is: Utah's experience regulating mental health AI. Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK Biobank. Reimagining atrial fibrillation screening beyond age-based thresholds using AI. Machine learning predicts sepsis deterioration trajectories. The present and future of blended care: current research and introduction to the B-FIT framework.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1