Abstract
This presentation describes our experience in combining speech recognition software, clinical review software, and other software products on a single computer. Different processor speeds, random access memory (RAM), and computer costs were evaluated. We found that combining continuous speech recognition software with Digital Imaging and Communications in Medicine (DICOM) workstation software on the same platform is feasible and can lead to substantial savings of hardware cost. This combination optimizes use of limited workspace and can improve radiology workflow.
Full Text
The Full Text of this article is available as a PDF (285.6 KB).
Footnotes
Supported in part by Lernout & Hauspie Speech Products, Burlington, MA.
References
- 1.Ratib O, Valentino DJ, McCoy MJ, et al. Computer-aided design and modeling of workstations and radiology reading rooms for the new millennium. Radiographies. 2000;20:1807–1816. doi: 10.1148/radiographics.20.6.g00nv191807. [DOI] [PubMed] [Google Scholar]
- 2.Ramaswamy MR, Chaljub G, Esch O, et al. Continuous speech recognition in mr imaging reporting: advantages, disadvantages, and impact. AJR. 2000;174:617–622. doi: 10.2214/ajr.174.3.1740617. [DOI] [PubMed] [Google Scholar]
- 3.Lemme PJ, Morin RL. The implementation of speech recognition in an electronic radiology practice. J Digit Imaging. 2000;13(suppl):153–154. doi: 10.1007/BF03167649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Schwartz LH, Kijewski P, Hertogen H, et al. Voice recognition in radiology reporting. AJR. 1997;169:27–29. doi: 10.2214/ajr.169.1.9207496. [DOI] [PubMed] [Google Scholar]
- 5.Rosenthal DI, Chew FS, Dupuy DE, et al. Computer-based speech recognition as a replacement for medical transcription. AJR. 1998;170:23–25. doi: 10.2214/ajr.170.1.9423591. [DOI] [PubMed] [Google Scholar]
- 6.Collins J: Computer speech recognition for radiology dictation. SCAR News, vol 11, issue 3, July 1999