探索ChatGPT在总结患者病史方面的潜力:一项试点研究
Mayuko Karino1, Clara So1, Torahiko Jinta1
1Department of Pulmonary Medicine, Thoracic Center, St. Luke's International Hospital, Tokyo, JPN.
Cureus
|June 17, 2025
概括
人工智能 (AI) 显示出对医疗文档的承诺. 在初级居民期间.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 越来越多的人工智能工具,如ChatGPT在各种领域的使用.
- 在医学领域对人工智能的研究有限,特别是在隐私方面.
- 需要评估AI在临床文档中的实用性.
研究的目的:
- 将人工智能生成的出院摘要 (ChatGPT) 与初级住院人员的摘要进行比较.
- 调查使用ChatGPT进行排放总结的挑战和好处.
- 在质量,事实性,完整性和可读性方面评估AI的表现.
主要方法:
- 基于中间总结,使用ChatGPT生成了68份免费总结.
- 将人工智能生成的摘要与初级居民撰写的68份摘要进行了比较.
- 使用统计分析来比较质量,事实性,完整性和可读性.
主要成果:
- 居民总结在质量,事实性和完整性方面显著提高 (p < 0.011).
- 人工智能和居民摘要之间的可读性没有显著差异 (p = 0.08).
- 对于长期住院 (>3个月),AI和住院总结在所有措施中没有显著差异.
结论:
- 对于复杂的长期病例,人工智能可以生成与住院居民可比的出院摘要.
- 负责任地实施人工智能,优先考虑数据隐私,可以提高排放总结效率.
- 对AI在医学中的应用进行进一步的研究是有必要的.
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