Analysis of Errors in Dictated Clinical Documents Assisted by Speech Recognition Software and Professional Transcriptionists-Reference-Cited by-同舟云学术

Analysis of Errors in Dictated Clinical Documents Assisted by Speech Recognition Software and Professional Transcriptionists

Published:2018-07-06 Issue:3 Volume:1 Page:e180530
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Zhou Li¹²,Blackley Suzanne V.³,Kowalski Leigh¹,Doan Raymond¹,Acker Warren W.¹⁴,Landman Adam B.²³⁵,Kontrient Evgeni⁶,Mack David⁷,Meteer Marie⁸,Bates David W.¹²³,Goss Foster R.⁹

Affiliation:

1. Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts

2. Harvard Medical School, Boston, Massachusetts

3. Department of Information Systems, Partners HealthCare, Boston, Massachusetts

4. Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania

5. Department of Emergency Medicine, Brigham and Women’s Hospital, Boston, Massachusetts

6. Department of Hospital Medicine, North Shore Medical Center, Salem, Massachusetts

7. University of Colorado School of Medicine, Aurora

8. Department of Computer Science, Brandeis University, Waltham, Massachusetts

9. Department of Emergency Medicine, University of Colorado, Aurora

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

http:///jamanetworkopen/article-pdf/1/3/e180530/17323020/zhou_2018_oi_180050.pdf

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3. Efficiency and safety of speech recognition for documentation in the electronic health record.;Hodgson;J Am Med Inform Assoc,2017

4. A systematic review of speech recognition technology in health care.;Johnson;BMC Med Inform Decis Mak,2014

5. Speech recognition in the radiology department: a systematic review.;Hammana;Health Inf Manag,2015

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