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走向自动化临床转录的方向

Mitchell A Klusty1, W Vaiden Logan1, Samuel E Armstrong1

  • 1University of Kentucky, Lexington, KY, USA.

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概括

本研究介绍了一个安全的系统,使用语音到文本和扬声器标签来自动化临床转录,减少行政负担和提高护理质量. 该技术旨在通过准确的转录和错误突出显示来最大限度地减少手工劳动力,以实现高效的验证.

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.
  • 医疗保健管理部门的管理.

背景情况:

  • 行政文件显著增加医疗保健成本.
  • 过度的文档有助于医生倦怠和降低护理质量.
  • 目前的手动转录过程耗时且昂贵.

研究的目的:

  • 引入一个安全的系统来自动化临床转录.
  • 为了利用语音到文本和扬声器标记 (diarization) 技术.
  • 为了减少临床文档的手工劳动.

主要方法:

  • 开发了一个安全的系统,集成了语音到文本和扬声器标签 (diarization).
  • 优化了系统的精确转录和错误突出显示.
  • 在40多个小时的模拟患者-提供者对话中测试了系统.

主要成果:

  • 该系统证明了患者与医疗服务提供者对话的准确转录.
  • 突出显示错误有助于人类快速验证.
  • 在模拟测试中观察到手工劳动的显著减少.

结论:

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  • 开发的系统为自动化临床转录提供了一个有希望的基础.
  • 这项技术可以帮助减轻医生倦怠和提高医疗保健效率.
  • 进一步应用该系统可能会降低医疗保健成本.