机器翻译为多语言癌症患者教育:桥梁语言,导航挑战
Aaron Lawson McLean1,2, Tui Lin Yen3,4
1Department of Neurosurgery, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany. aaron.lawsonmclean@med.uni-jena.de.
概括
机器翻译为多语言瘤患者教育提供了好处,但有可能扩大医疗保健差距. 确保准确性,清晰性和文化相关性的平衡方法对于公平的护理至关重要.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 卫生沟通健康沟通
背景情况:
- 多语言的患者教育在瘤学中至关重要.
- 机器翻译 (MT) 提供了提高语言可访问性的潜力.
- 人们对MT的准确性和可能加剧健康差异存在担忧.
研究的目的:
- 评估机器翻译在瘤学多语言患者教育中的使用情况.
- 批判性地检查技术效益和潜在的医疗保健差异之间的平衡.
- 强调需要多学科的翻译方法.
主要方法:
- 对当前实践和文学进行评论和批判性分析.
- 检查医疗保健沟通中的技术益处与风险.
- 讨论与数字素养和访问相关的伦理考虑.
主要成果:
- 机器翻译可以提高语言的可访问性,但需要仔细实施.
- 如果语言准确性和文化相关性受到损害,可能会增加医疗保健差异.
- 关于数字素养和公平获取的伦理考虑至关重要.
结论:
- 综合语言,医学和文化因素的多学科方法对于在瘤患者教育中有效的MT至关重要.
- 经过深思熟虑的技术整合必须优先考虑公平,质量和患者护理.
- 解决数字素养和访问问题是防止扩大医疗保健差距的关键.
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