在非紧急的儿科急诊中使用基于人工智能的语言解释:临床性能测试和法律评估
Julia Brandenberger1,2,3,4, Ian Stedman5, Noah Stancati6
1Division of Paediatric Emergency Medicine, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. Julia.brandenberger@insel.ch.
BMC health services research
|January 25, 2025
概括
谷歌翻译 (GT) 在儿科急救翻译中显示了高准确性,用于常见症状. 然而,由于医疗保健机构的潜在风险和公平性问题,需要谨慎使用.
科学领域:
- 医疗信息学 医疗信息学
- 临床翻译研究 临床翻译研究
- 卫生法律和政策卫生法律和政策
背景情况:
- 在儿科急救护理中,有效的沟通至关重要,特别是对于非母语英语的人来说.
- 基于人工智能的翻译工具为医疗保健中的语言障碍提供了潜在的解决方案.
- 现有的研究对AI翻译在临床环境中的准确性和影响是有限的.
研究的目的:
- 为了评估谷歌翻译 (GT) 的准确性,用于低急性儿科紧急咨询.
- 探索在医疗保健中使用基于AI的解释的法律和政策影响.
- 确定AI在临床沟通中翻译的挑战和最佳实践.
主要方法:
- 谷歌翻译 (GT) 的临床性能测试使用模拟的儿科紧急情况 (呼吸系统疾病,发烧).
- 在五种语言中进行评估:西班牙语,法语,乌尔都语,阿拉伯语和普通话.
- 法律学者对医疗保健中基于人工智能的解释进行法律和政策分析.
主要成果:
- 谷歌翻译 (GT) 实现了高准确率,从83.5% (乌尔都语) 到95.4% (法语).
- 确定的挑战包括方言变化和代词误解.
- 法律审查强调了对口译服务的不一致访问以及与数据隐私,同意和不当行为相关的风险.
结论:
- 谷歌翻译 (GT) 可以在特定的儿科紧急情况中帮助沟通,但需要仔细监督.
- 了解GT的局限性,包括方言和字面翻译风险,是必不可少的.
- 制定法律框架,解决资金问题和确保数据安全对于优化医疗保健中人工智能翻译至关重要.
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