用语音转文字和说话人分离技术自动生成医生患者对话记录
Toward Automated Clinical Transcriptions
- 结合语音转写与说话人分离技术，自动生成医患对话文本
- 在40小时模拟对话上实现高准确率，支持快速人工核查
- 适合医疗自动化、临床记录数字化场景
行政文档是医疗成本上升的主要推手，且与医生职业倦怠和医疗质量下降相关。本文提出一种安全系统，利用近期语音转文字及说话人分离（diarization）技术，对医患对话进行自动转录。该系统优化了转录准确性，并可标记潜在错误，促进快速人工校验，进一步降低人工处理负担。在超过40小时的模拟对话数据上进行了测试，验证了其在自动化临床记录方面的潜力。
原文摘要 · Abstract (English)
Administrative documentation is a major driver of rising healthcare costs and is linked to adverse outcomes, including physician burnout and diminished quality of care. This paper introduces a secure system that applies recent advancements in speech-to-text transcription and speaker-labeling (diarization) to patient-provider conversations. This system is optimized to produce accurate transcriptions and highlight potential errors to promote rapid human verification, further reducing the necessary manual effort. Applied to over 40 hours of simulated conversations, this system offers a promising foundation for automating clinical transcriptions.
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