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Literature DB >> 15900434

Speech recognition implementation in radiology.

Abstract

Continuous speech recognition (SR) is an emerging technology that allows direct digital transcription of dictated radiology reports. The SR systems are being widely deployed in the radiology community. This is a review of technical and practical issues that should be considered when implementing an SR system.

Mesh：

Year: 2005 PMID： 15900434 DOI： 10.1007/s00247-005-1511-x

Source DB: PubMed Journal: Pediatr Radiol ISSN： 0301-0449

20 in total

1. Combining speech recognition software with Digital Imaging and Communications in Medicine (DICOM) workstation software on a Microsoft Windows platform.

Authors: R Ernst; W Carpenter; W Torres; S Wheeler
Journal: J Digit Imaging Date: 2001-06 Impact factor: 4.056

2. Comparative evaluation of three continuous speech recognition software packages in the generation of medical reports.

Authors: E G Devine; S A Gaehde; A C Curtis
Journal: J Am Med Inform Assoc Date: 2000 Sep-Oct Impact factor: 4.497

3. Continuous speech recognition for clinicians.

Authors: A Zafar; J M Overhage; C J McDonald
Journal: J Am Med Inform Assoc Date: 1999 May-Jun Impact factor: 4.497

4. Speech recognition interface to a hospital information system using a self-designed visual basic program: initial experience.

Authors: Edward C Callaway; Clifford F Sweet; Eliot Siegel; John M Reiser; Douglas P Beall
Journal: J Digit Imaging Date: 2002-04-30 Impact factor: 4.056

2. Expanding the functionality of speech recognition in radiology: creating a real-time methodology for measurement and analysis of occupational stress and fatigue.

Authors: Bruce I Reiner
Journal: J Digit Imaging Date: 2013-02 Impact factor: 4.056

3. [Digital speech recognition in dermatology: a pilot study with regard to medical and economic aspects].

Authors: P Thumann; S Topf; A Feser; C Erfurt; G Schuler; V Mahler
Journal: Hautarzt Date: 2008-02 Impact factor: 0.751

3 in total

Speech recognition implementation in radiology.

1. Combining speech recognition software with Digital Imaging and Communications in Medicine (DICOM) workstation software on a Microsoft Windows platform.

2. Comparative evaluation of three continuous speech recognition software packages in the generation of medical reports.

3. Continuous speech recognition for clinicians.

4. Speech recognition interface to a hospital information system using a self-designed visual basic program: initial experience.

5. Speech recognition as a transcription aid: a randomized comparison with standard transcription.

6. Voice recognition.

Review 7. Radiology speech recognition: workflow, integration, and productivity issues.

8. Impact of tightly coupled PACS/speech recognition on report turnaround time in the radiology department.

9. Experience with implementation of a radiology speech recognition system.

10. Selecting and implementing a voice recognition system.

1. Improvement of report workflow and productivity using speech recognition--a follow-up study.

2. Expanding the functionality of speech recognition in radiology: creating a real-time methodology for measurement and analysis of occupational stress and fatigue.

3. [Digital speech recognition in dermatology: a pilot study with regard to medical and economic aspects].