Ilgner Justus, Düwel Philip, Westhofen Martin
Department of Otorhinolaryngology and Plastic Head and Neck Surgery, RWTH Aachen University, Aachen, Germany.
Ear Nose Throat J. 2006 Aug;85(8):523-7.
We conducted a study to evaluate speech recognition software in an otorhinolaryngology unit and to assess its impact on productivity prior to general implementation. Current speech recognition software (IBM ViaVoice, version 10) was implemented on a personal computer with a 2-GHz central processing unit, 256 MB of RAM, and a 30-GB hard disk drive, with and without add-on professional vocabulary for otorhinolaryngology. This vocabulary was added by the automated analysis of an additional 12,257 documents from our department. We compared the word recognition error rates for three different text types and determined their impact on the amount of surgeon's time that was invested in the production of an error-free document. Although error rates without any professional vocabulary database were rather high (operation reports: 38.72%; consultation notes: 27.77%), the patient information was edited with a satisfactory result (10.65%). Best results were obtained with the specialty-related vocabulary database added by the analysis of our own documents (operation reports: 5.45%; consultation notes: 5.21%). An increase in productivity compared with that of conventional transcription was found at an error rate of less than 16%.
我们开展了一项研究，以评估耳鼻喉科部门的语音识别软件，并在全面实施之前评估其对工作效率的影响。当前的语音识别软件（IBM语音识别软件，版本10）安装在一台个人电脑上，该电脑配备2千兆赫兹中央处理器、256兆字节随机存取存储器和30千兆字节硬盘驱动器，分别使用和不使用耳鼻喉科附加专业词汇库。该词汇库是通过对本部门另外12257份文档进行自动分析添加的。我们比较了三种不同文本类型的单词识别错误率，并确定了它们对医生生成无错误文档所投入时间的影响。尽管没有任何专业词汇库时错误率相当高（手术报告：38.72%；会诊记录：27.77%），但患者信息编辑的结果令人满意（10.65%）。通过分析我们自己的文档添加的专业相关词汇库取得了最佳效果（手术报告：5.45%；会诊记录：5.21%）。发现错误率低于16%时，与传统转录相比工作效率有所提高。
