“我原以为它会自动翻译”：以缩略语为案例考察医疗从业人员对机器翻译风险的认知

arXiv cs.AI 论文
machine-translation healthcare patient-safety medical-abbreviations risk-awareness qualitative-research

摘要

本文通过访谈21名参与者，并结合对临床语料中经Google Translate翻译实例的定性分析，以医疗缩略语为案例，考察了英国医疗从业人员在依赖机器翻译（主要是Google Translate）与患者沟通时对其中风险的认知情况。

arXiv:2610.02496v1 Announce Type: new Abstract: 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.
查看原文
查看缓存全文

缓存时间: 2026/10/05 09:57 

# "I just assumed that it would translate": examining MT risk awareness among healthcare staff with abbreviations as a use case
Source: [https://arxiv.org/abs/2610.02496](https://arxiv.org/abs/2610.02496)
[View PDF](https://arxiv.org/pdf/2610.02496)

> Abstract: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\.

## Submission history

From: Constantin Orasan \[[view email](https://arxiv.org/show-email/73200ab0/2610.02496)\] **\[v1\]**Thu, 1 Oct 2026 21:18:43 UTC \(478 KB\)

相似文章

现实世界中的LLM：评估紧急情况下的“AI”

arXiv cs.AI

本文探讨了基于LLM的机器翻译系统在文本到911紧急服务中的部署情况，指出了常见的误解，并为利益相关者提供了建议，以确保人工智能在关键场景中的安全有效使用。