生成型人工智能实施对社会和医疗保健的影响的评估 语言翻译:混合方法案例研究
Miia Martikainen1, Kari Smolander1, Johan Sanmark2
1Department of Software Engineering, School of Engineering, Lappeenranta-Lahti University of Technology, Yliopistonkatu 34, Lappeenranta, 53850, Finland, 358 449014240.
JMIR formative research
|September 17, 2025
概括
生成型人工智能 (GAI) 可以在公共卫生环境中提高翻译生产率14%,但质量和用户体验各不相同. 建议进行进一步的研究和培训,以实现最佳的整合.
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.
- 公共卫生管理公共卫生管理.
背景情况:
- 生成型人工智能 (GAI) 显示出提高公共社会和医疗保健生产力的前景.
- 目前,关于GAI在这些行业的实际影响的经验证据有限.
研究的目的:
- 研究GPT-4语言模型对生产力,翻译质量和用户体验的影响.
- 专注于芬兰公共社会和医疗保健组织的内部语言翻译团队.
主要方法:
- 一项混合方法研究,涉及4名翻译人员在3个月内 (2024年3月至6月).
- 使用Trados软件提高生产力,对908个翻译段进行定量分析.
- 通过 4 个自动指标对 1373 个 GAI 人类翻译段进行质量评估.
- 来自5个半结构面试的定性数据,探索用户体验.
主要成果:
- 编辑后的机器翻译比从头开始翻译快了14% (P=.03),个别收益范围从-2%到102%.
- 翻译质量显示出有希望的11-16%的GAI输出不需要编辑,具有良好的双语评估研究成绩 (38-43).
- 用户反是混合的; GAI被评为重复性内容,但挑战包括术语一致性和上下文限制.
结论:
- GPT-4 GAI证明了在公共卫生翻译服务中提高翻译生产率和质量的潜力.
- 有效性取决于翻译技能,工作流程设计和组织准备.
- 建议包括投资培训,优化技术整合,并为类似的环境重新设计工作流程.
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