Computers in radiology: Computer-based speech recognition as a replacement for medical transcription

Daniel I. Rosenthal*, Felix S. Chew, Damian E. Dupuy, Susan V. Kattapuram, William E. Palmer, Renee M. Yap, Leonard A. Levine

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

Abstract

OBJECTIVE. We have implemented computerized speech recognition in a high-volume clinical setting using a newly developed commercial software system. This paper compares the performance of the computerized system with conventional transcription during a trial week followed by 3 months of routine clinical use. CONCLUSION. The speech recognition system was used for 97% of the cases during the trial week and 87% of cases during the months of continuous use. For a similar mixture of cases, no change occurred in the length of reports after introduction of the computerized system. Speech recognition decreased the time until the report became available by 99% and resulted in a substantial savings in transcription costs. We conclude that speech recognition by computer is practical in a high-volume clinical implementation.

Original languageEnglish (US)
Pages (from-to)23-25
Number of pages3
JournalAmerican Journal of Roentgenology
Volume170
Issue number1
StatePublished - Jan 1 1998

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Computers in radiology: Computer-based speech recognition as a replacement for medical transcription'. Together they form a unique fingerprint.

Cite this