Reliable and Safe Use of Machine Translation in Medical Settings
Reliable and Safe Use of Machine Translation in Medical Settings
复制标题
在医疗环境中可靠、安全地使用机器翻译
DOI：
10.1145/3531146.3533244
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Niloufar Salehi
中科院分区：
文献类型：
--
作者：
Nikita Mehandru;Samantha Robertson;Niloufar Salehi
患者和临床医生之间的语言障碍导致护理质量的差异。机器翻译（MT）工具广泛应用于医疗保健领域，但即使是很小的误译也可能造成危及生命的后果。我们研究如何MT是目前在医疗环境中使用的20名临床医生，医生，外科医生，护士和助产士通过定性访谈研究。我们发现，临床医生面临的挑战来自缺乏时间和资源，文化障碍，医学素养率，以及在沟通不畅的情况下的责任。临床医生已经设计出策略，以帮助沟通，在面对语言障碍，包括回翻译，非语言沟通，并测试患者的理解。我们提出了机器翻译系统的设计建议，包括将神经MT与预翻译的医学短语相结合，将翻译支持与多模态通信相结合，以及为测试相互理解提供交互式支持。
Language barriers between patients and clinicians contribute to disparities in quality of care. Machine Translation (MT) tools are widely used in healthcare settings, but even small mistranslations can have life-threatening consequences. We study how MT is currently used in medical settings through a qualitative interview study with 20 clinicians–physicians, surgeons, nurses, and midwives. We find that clinicians face challenges stemming from lack of time and resources, cultural barriers, and medical literacy rates, as well as accountability in cases of miscommunication. Clinicians have devised strategies to aid communication in the face of language barriers including back translation, non-verbal communication, and testing patient understanding. We propose design implications for machine translation systems including combining neural MT with pre-translated medical phrases, integrating translation support with multimodal communication, and providing interactive support for testing mutual understanding.
影响因子：
30.8
作者：
Ghassemi, Marzyeh;Oakden-Rayner, Luke;Beam, Andrew L.
通讯作者：
Beam, Andrew L.
当地卫生部门翻译流程：机器翻译技术帮助满足需求的潜力。
DOI：
--
发表时间：
2013
期刊：
AMIA ... Annual Symposium proceedings. AMIA Symposium
影响因子：
--
作者：
Turner,AnneM;Mandel,Hannah;Capurro,Daniel
通讯作者：
Capurro,Daniel