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The Adjunct of Voice Recognition to Medical Transcriptionist in Asian Countries–The Pros and Cons
American Journal of Internal Medicine
Volume 7, Issue 6, November 2019, Pages: 147-150
Received: Jul. 14, 2019; Accepted: Aug. 19, 2019; Published: Oct. 26, 2019
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Amjad Sattar, Dow Institute of Radiology, Dow University of Health Sciences, Karachi, Pakistan
Mahnoor Hafeez, Dow Institute of Radiology, Dow University of Health Sciences, Karachi, Pakistan
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Voice recognition software (VRS) is a form of Artificial intelligence; it’s a phenomenon of converting or transcribing acoustic human speech (i.e. sound waves) into a symbolic form of a human language such as English whereas Dictaphone (DP) is an electronic voice recorder analogous to cell phone that saves and records voice files. The Radiologists believe that Report generation in Radiology is a daunting task, including reading scans, requiring analytical and observational skills, interpretation of findings, dictating cases, proof reading, re analyzing cases and signing off after corrections, especially when the case list is long. In solving this multi-step process, VRS and DP have emerged as handy tech savvy equipments for “automatic typing” of scans, with the involvement of Medical transcriptionist (MT) for timely generation of reports. In the past few decades, there has been considerable transition from manual hand signed reports to electronically generated reports. MT has been a closed companion of Radiologist, even in manually generated reports. There has been a threat to MT being replaced by VRS at tertiary care hospitals, because of its low economic impact. The pros and cons of tool are elaborated in this article with the survey of Radiology Institutes of Pakistan.
Voice Recognition Software, VRS, Dictaphone, Medical Transcriptionist, MT, Clinical Practice
To cite this article
Amjad Sattar, Mahnoor Hafeez, The Adjunct of Voice Recognition to Medical Transcriptionist in Asian Countries–The Pros and Cons, American Journal of Internal Medicine. Vol. 7, No. 6, 2019, pp. 147-150. doi: 10.11648/j.ajim.20190706.12
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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