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

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

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...

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Main 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
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01472-x
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Summary: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.
ISSN:2398-6352

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