Difference between revisions of "David2009"
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|BibType=ARTICLE | |BibType=ARTICLE | ||
|Author(s)=Gary C. David; Angela Cora Garcia; Anne Warfield Rawls; Donald Chand | |Author(s)=Gary C. David; Angela Cora Garcia; Anne Warfield Rawls; Donald Chand | ||
| − | |Title=Listening to what is said | + | |Title=Listening to what is said: transcribing what is heard: the impact of speech recognition technology (SRT) on the practice of medical transcription (MT) |
|Tag(s)=EMCA; Medical EMCA; Medical Transcription; Health information systems; Medical Records; Speech Recognition Technology | |Tag(s)=EMCA; Medical EMCA; Medical Transcription; Health information systems; Medical Records; Speech Recognition Technology | ||
|Key=David2009 | |Key=David2009 | ||
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|Volume=31 | |Volume=31 | ||
|Number=6 | |Number=6 | ||
| − | |Pages= | + | |Pages=924–938 |
|URL=http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9566.2009.01186.x/full | |URL=http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9566.2009.01186.x/full | ||
|DOI=10.1111/j.1467-9566.2009.01186.x | |DOI=10.1111/j.1467-9566.2009.01186.x | ||
|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 | |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 | ||
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Latest revision as of 12:35, 23 November 2019
| David2009 | |
|---|---|
| BibType | ARTICLE |
| Key | David2009 |
| Author(s) | Gary C. David, Angela Cora Garcia, Anne Warfield Rawls, Donald Chand |
| Title | Listening to what is said: transcribing what is heard: the impact of speech recognition technology (SRT) on the practice of medical transcription (MT) |
| Editor(s) | |
| Tag(s) | EMCA, Medical EMCA, Medical Transcription, Health information systems, Medical Records, Speech Recognition Technology |
| Publisher | |
| Year | 2009 |
| Language | |
| City | |
| Month | |
| Journal | Sociology of Health & Illness |
| Volume | 31 |
| Number | 6 |
| Pages | 924–938 |
| URL | Link |
| DOI | 10.1111/j.1467-9566.2009.01186.x |
| ISBN | |
| Organization | |
| Institution | |
| School | |
| Type | |
| Edition | |
| Series | |
| Howpublished | |
| Book title | |
| Chapter | |
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
Notes
