Literature DB >> 19843274

Listening to what is said--transcribing what is heard: the impact of speech recognition technology (SRT) on the practice of medical transcription (MT).

Gary C David1, Angela Cora Garcia, Anne Warfield Rawls, Donald Chand.   

Abstract

Medical records have become central to nearly all aspects of healthcare. However, little research exists on their creation. Using data from an ongoing ethnographic study of healthcare documentation production, this paper examines the process of medical record creation through the use of speech recognition technology (SRT) and subsequent editing by medical transcriptionists (MTs). Informed by ethnomethodology (EM) and conversation analysis (CA), the results demonstrate the professional knowledge involved in the work of medical transcription, which includes a combination of skilled worksite practices and an orientation toward the social order properties of recorded dictation. Furthermore, we examine how the advantages and limitations of SRTs can impact the work of transcription. We conclude with strategic recommendations for using SRTs to support medical records production and recommend against total automation.

Mesh:

Year:  2009        PMID: 19843274     DOI: 10.1111/j.1467-9566.2009.01186.x

Source DB:  PubMed          Journal:  Sociol Health Illn        ISSN: 0141-9889


  2 in total

Review 1.  Speech Recognition for Medical Dictation: Overview in Quebec and Systematic Review.

Authors:  Thomas G Poder; Jean-François Fisette; Véronique Déry
Journal:  J Med Syst       Date:  2018-04-03       Impact factor: 4.460

2.  I Hear You Eat and Speak: Automatic Recognition of Eating Condition and Food Type, Use-Cases, and Impact on ASR Performance.

Authors:  Simone Hantke; Felix Weninger; Richard Kurle; Fabien Ringeval; Anton Batliner; Amr El-Desoky Mousa; Björn Schuller
Journal:  PLoS One       Date:  2016-05-13       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.