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Computer-based Speech Recognition as an Alternative to Medical Transcription

Computer-based Speech Recognition as an Alternative to Medical Transcription AbstractThe purpose of this report is to describe the author's experience using computerized dictation during routine outpatient medical practice. During a six-month period, patients seen by the author in the Pediatric Gastroenterology Clinic at the University of Virginia were assigned to human or computer-based transcription. Of 1,129 notes, 580 were completed by a transcriptionist and 549 by computer. The total time spent dictating and editing notes was approximately one minute more for computerized dictation than for a human transcriptionist (379.81 ± 132.69 sec vs. 326.14 ± 126.02 sec; P < 0.0001). Notes generated by computer were slightly longer than notes generated by a transcriptionist (52.42 ± 16.45 lines vs. 50.41 ± 16.73 lines; P = 0.0422). Of notes generated by a transcriptionist, 139 (24 percent) were completed within two days of the visit, whereas all notes generated by computer were completed on the day of the visit. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the American Medical Informatics Association Oxford University Press

Computer-based Speech Recognition as an Alternative to Medical Transcription

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References (5)

Publisher
Oxford University Press
Copyright
American Medical Informatics Association
ISSN
1067-5027
eISSN
1527-974X
DOI
10.1136/jamia.2001.0080101
Publisher site
See Article on Publisher Site

Abstract

AbstractThe purpose of this report is to describe the author's experience using computerized dictation during routine outpatient medical practice. During a six-month period, patients seen by the author in the Pediatric Gastroenterology Clinic at the University of Virginia were assigned to human or computer-based transcription. Of 1,129 notes, 580 were completed by a transcriptionist and 549 by computer. The total time spent dictating and editing notes was approximately one minute more for computerized dictation than for a human transcriptionist (379.81 ± 132.69 sec vs. 326.14 ± 126.02 sec; P < 0.0001). Notes generated by computer were slightly longer than notes generated by a transcriptionist (52.42 ± 16.45 lines vs. 50.41 ± 16.73 lines; P = 0.0422). Of notes generated by a transcriptionist, 139 (24 percent) were completed within two days of the visit, whereas all notes generated by computer were completed on the day of the visit.

Journal

Journal of the American Medical Informatics AssociationOxford University Press

Published: Jan 1, 2001

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