发表机构
University of Surrey（萨里大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过访谈医疗人员，考察其对机器翻译（尤其是谷歌翻译）处理医疗缩写词风险的认识，发现潜在不知情使用可能危及患者安全。
AI 中文摘要
在英国，公共医疗保健人员报告称，他们使用机器翻译（MT）——主要是谷歌翻译（GT）——来跨越语言障碍与患者沟通。尽管这旨在支持他们的照护责任，但在此类情境下，对MT的潜在不知情依赖可能对患者安全造成严重后果。然而，关于工作人员对高风险MT使用（尤其是在涉及患者医疗记录时）可能带来的风险的认识，研究仍然有限；现有文献大多考察其在人际情境或面向患者的文档中的使用。此外，有充分文献记载，医疗缩写词即使在单语环境中也会增加患者风险，其误用和/或误解的后果从暂时性伤害到患者死亡不等。因此，选择缩写词作为用例，以识别其经MT翻译可能带来的潜在风险。研究从权威临床语料库中提取了情境化的法语和西班牙语数据示例，并通过GT进行翻译，在半结构化访谈中呈现给21名来自不同角色和专业领域的医疗保健工作人员参与者。随后对结果进行了定性分析和交叉分析。
英文摘要
In the UK, public healthcare staff report turning to machine translation (MT) - predominantly Google Translate (GT) - to communicate with patients across language barriers. Though intended to support their duty of care, potentially uninformed reliance on MT in such contexts could have serious consequences for patient safety. Research nonetheless remains limited on staff awareness of the possible risks posed by higher-stakes MT use in general and with patient medical records in particular, most existing literature instead examining its use in interpersonal situations or with patient-oriented documentation. Moreover, medical abbreviations are well-documented as increasing patient risk even monolingually, with outcomes from their misuse and/or misinterpretation ranging from temporary harm to the death of the patient. Abbreviations were therefore selected as a use case for identifying the potential risks posed by their translation with MT. Contextualised French and Spanish data examples drawn from authoritative clinical corpora and translated via GT were presented during semi-structured interviews to 21 healthcare staff participants in diverse roles and specialties. The results were then subject to qualitative analysis and cross-analysis.
CommentsTo appear in the proceedings of Convergence 2026 conference
