评价西班牙语翻译的紧急部门释放指令的大型语言模型:工具验证和可靠性研究
Jossie A Carreras Tartak1, Ryan Cl Brewster2, Daniela Arango Isaza3
1Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.
JMIR formative research
|January 12, 2026
概括
像克劳德·索内特这样的大型语言模型可以准确地将急诊室的出院说明翻译成西班牙语. 这项技术有望改善西班牙语人士的患者理解和护理.
科学领域:
- 医疗信息学 医疗信息学
- 自然语言处理自然语言处理.
- 卫生沟通健康沟通
背景情况:
- 紧急部门 (ED) 的出院说明对于患者的康复和遵守治疗计划至关重要.
- 有效地沟通出院说明是必不可少的,特别是对于英语水平有限的患者.
- 确保医疗信息的准确翻译是医疗保健中的一个重大挑战.
研究的目的:
- 评估由大型语言模型 (LLM) 生成的紧急部门出院指令的西班牙语翻译的准确性.
- 评估LLM生成的翻译在临床环境中的有用性.
主要方法:
- 一个样本的100个急诊部释放指令被提供给克劳德·索内特,一个特定的LLM.
- 该LLM生成了这些指令的西班牙语翻译.
- 一个由西班牙语医生和医疗口译员组成的小组评估了翻译的说明书的准确性.
主要成果:
- 克劳德·索内特 (Claude Sonnet) 在西班牙语中翻译了欧委会核准说明书.
- 西班牙语医生和医学口译员的评估表明,这些翻译是准确的.
- 该LLM在翻译复杂的医疗信息方面表现出高度的准确性.
结论:
- 大型语言模型能够生成准确的西班牙语翻译紧急部门的出院说明.
- 这项技术有可能在西班牙语人口中改善医疗保健沟通和患者理解.
- 进一步的研究可以探索将LLM整合到临床工作流程中,以加强患者教育.
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