人类医学文档在关键临床维度上显著优于ChatGPT-4o:儿童整形外科的盲目比较评估
Carlo Camathias1,2, Kata Papp3, Patrick Betschart4
1Praxis Momentum, St. Gallen, Switzerland.
概括
人类医疗文档在儿科骨科病史的准确性和一致性方面明显优于ChatGPT. 人工智能摘要需要仔细监督,并且还没有准备好在这个环境中取代人类临床判断.
科学领域:
- 医疗文档质量 医疗文档质量
- 医疗保健中的人工智能
- 儿科整形医生 儿科整形医生
背景情况:
- 人工智能 (AI) 在临床工作流程中的整合正在迅速推进.
- 评估人工智能生成的医疗文档的准确性和可靠性对于患者安全和有效护理至关重要.
- 儿科骨科实践涉及复杂的历史,需要精确的文档.
研究的目的:
- 为了比较由ChatGPT-4o生成的病史摘要的质量与人类创建的文档.
- 在儿科骨科环境中,评估AI在临床关键维度上的性能.
主要方法:
- 一项前性,随机的,盲目的比较研究,涉及20名患有膝关节问题的儿科患者.
- 咨询的音频录音被转录并通过ChatGPT-4o处理.
- 三位骨科专家根据八个质量标准,使用六分利克特尺度对人工智能和人类总结进行了评估.
主要成果:
- 与ChatGPT生成的摘要 (4.5/6) 相比,人类文档的整体评分 (5.2/6) 显著更高.
- 人类总结在时间一致性,空间一致性,事故描述和总体印象 (p < 0.001) 中优越.
- 聊天GPT经常出现时间不一致 (23%) 和事故细节遗漏 (35%).
结论:
- 人类文档仍然优于当前的AI模型,对于儿科骨科病史的关键临床方面来说.
- 像ChatGPT这样的大型语言模型还不适合独立替换人类医疗文档.
- 建议将人工智能作为辅助工具而不是替代品集成的混合工作流程,以保持临床判断和文档质量.
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