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放射学语音识别系统的实施经验。

Experience with implementation of a radiology speech recognition system.

作者信息

Houston J D, Rupp F W

机构信息

Department of Radiology, University of New Mexico Health Sciences Center, Albuquerque, NM 87131-5336, USA.

出版信息

J Digit Imaging. 2000 Aug;13(3):124-8. doi: 10.1007/BF03168385.

Abstract

Recent advances in speech recognition technology have allowed development of computer systems for real-time radiologist-driven generation of reports. The transition to a speech recognition system is a technically complex process with many potential pitfalls that can decrease efficiency and disrupt workflow. In our recent experience with installation of such a system in an academic radiology department, factors that have worked against optimal performance have included environmental logistics, hardware incompatibilities, radiology information system interface problems, lack of suitable training, and inadequate technical support. Communication of our experience is intended to allow radiologists to anticipate complications of these systems and make informed decisions regarding the feasibility of such a system in their practices. With this information, potential buyers should be able to carefully scrutinize specifications for prospective systems and, by avoiding many of the possible pitfalls, make an easier transition to a speech recognition environment.

摘要

语音识别技术的最新进展使得能够开发出由放射科医生实时驱动生成报告的计算机系统。向语音识别系统的转变是一个技术复杂的过程,存在许多潜在陷阱,可能会降低效率并扰乱工作流程。根据我们最近在一个学术放射科安装此类系统的经验,影响最佳性能的因素包括环境后勤、硬件不兼容、放射学信息系统接口问题、缺乏适当培训以及技术支持不足。分享我们的经验旨在让放射科医生预见这些系统的并发症,并就是否在其工作中使用此类系统做出明智决策。有了这些信息,潜在买家应该能够仔细审查未来系统的规格,并通过避免许多可能的陷阱,更轻松地过渡到语音识别环境。

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