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RIS/PACS集成语音识别对报告可用性的影响。

Impact of RIS/PACS integrated speech recognition on report availability.

作者信息

Trumm Christoph G, Morhard Dominik, Ertl-Wagner Birgit, Glaser Christian, Reiser Maximilian F

机构信息

Department of Clinical Radiology, Ludwig-Maximilians-University, Munich, Germany.

出版信息

Radiol Manage. 2008 Nov-Dec;30(6):16-23; quiz 24-6.

Abstract

First adopted by radiology more than 25 years ago, speech recognition (SR) technology has been significantly improved. State-of-the-art SR systems are characterized by extensive vocabularies and advanced mathematical language models which theoretically allow for mean recognition rates far beyond 90%. Commercial arguments for SR implementation are a reduction of report turnaround times (RTT) and cost savings by the elimination of transcriptionist services. In contrast, the (potential) negative impact of front-end SR on radiologists' productivity has been discussed extensively in the literature. This study was conducted in a 1400 bed university hospital and aims to retrospectively evaluate the effect of an SR system on report availability and RTT over a 1.5 year period after integration into a preexisting RIS/PACS installation. Front-end SR with editing of the draft report by the radiologist (night and weekend reports) and back-end SR with correction of the draft report (put out by the recognition servers) by transcriptionists (reports generated during routine working time) were utilized.

摘要

语音识别(SR)技术在25多年前首次被放射学采用,如今已得到显著改进。最先进的SR系统具有广泛的词汇表和先进的数学语言模型,理论上其平均识别率远远超过90%。实施SR的商业理由是减少报告周转时间(RTT)并通过消除转录服务节省成本。相比之下,前端SR对放射科医生生产力的(潜在)负面影响在文献中已被广泛讨论。本研究在一家拥有1400张床位的大学医院进行,旨在回顾性评估SR系统在集成到现有的放射信息系统(RIS)/图像存档与通信系统(PACS)后1.5年期间对报告可用性和RTT的影响。采用了由放射科医生编辑初稿报告的前端SR(夜间和周末报告)以及由转录员校正初稿报告(由识别服务器生成)的后端SR(常规工作时间生成的报告)。

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