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: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01472-x |
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| _version_ | 1823861565809491968 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Hanlin Ding |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-68450d275d744b0cb28603180c297004 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-68450d275d744b0cb28603180c2970042025-02-09T12:55:38ZengNature Portfolionpj Digital Medicine2398-63522025-02-01811910.1038/s41746-025-01472-xEvaluation and practical application of prompt-driven ChatGPTs for EMR generationHanlin Ding0Wenjie Xia1Yujia Zhou2Lei Wei3Yipeng Feng4Zi Wang5Xuming Song6Rutao Li7Qixing Mao8Bing Chen9Hui Wang10Xing Huang11Bin Zhu12Dongyu Jiang13Jingyu Sun14Gaochao Dong15Feng Jiang16Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchThe Second Clinical Medical School of Nanjing Medical UniversityJiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu ProvinceDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchDepartment of Thoracic Surgery, Dushu Lake Hospital Affiliated to Soochow UniversityDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchPathological Department of Jiangsu Cancer HospitalHospital Development Management Office, Nanjing Medical UniversityDepartment of Orthopedics, Wuxi People’s Hospital Affiliated to Nanjing Medical UniversityDepartment of Cardiology, First Affiliated Hospital of Nanjing Medical University, Jiangsu Province HospitalDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer ResearchAbstract 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.https://doi.org/10.1038/s41746-025-01472-x |
| spellingShingle | 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 Evaluation and practical application of prompt-driven ChatGPTs for EMR generation npj Digital Medicine |
| title | Evaluation and practical application of prompt-driven ChatGPTs for EMR generation |
| title_full | Evaluation and practical application of prompt-driven ChatGPTs for EMR generation |
| title_fullStr | Evaluation and practical application of prompt-driven ChatGPTs for EMR generation |
| title_full_unstemmed | Evaluation and practical application of prompt-driven ChatGPTs for EMR generation |
| title_short | Evaluation and practical application of prompt-driven ChatGPTs for EMR generation |
| title_sort | evaluation and practical application of prompt driven chatgpts for emr generation |
| url | https://doi.org/10.1038/s41746-025-01472-x |
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