 Speech Recognition Software
"Speech Recognition Software" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Software capable of recognizing dictation and transcribing the spoken words into written text.
| Descriptor ID |
D049250
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| MeSH Number(s) |
L01.224.900.889
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| Concept/Terms |
Speech Recognition Software- Speech Recognition Software
- Recognition Software, Speech
- Software, Speech Recognition
- Voice Recognition Software
- Recognition Software, Voice
- Software, Voice Recognition
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Below are MeSH descriptors whose meaning is more general than "Speech Recognition Software".
Below are MeSH descriptors whose meaning is more specific than "Speech Recognition Software".
This graph shows the total number of publications written about "Speech Recognition Software" by people in this website by year, and whether "Speech Recognition Software" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2010 | 0 | 1 | 1 | | 2015 | 1 | 0 | 1 | | 2016 | 1 | 0 | 1 | | 2018 | 2 | 0 | 2 | | 2019 | 1 | 0 | 1 | | 2020 | 0 | 1 | 1 |
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Below are the most recent publications written about "Speech Recognition Software" by people in Profiles.
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Blackley SV, Schubert VD, Goss FR, Al Assad W, Garabedian PM, Zhou L. Physician use of speech recognition versus typing in clinical documentation: A controlled observational study. Int J Med Inform. 2020 09; 141:104178.
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Goss FR, Blackley SV, Ortega CA, Kowalski LT, Landman AB, Lin CT, Meteer M, Bakes S, Gradwohl SC, Bates DW, Zhou L. A clinician survey of using speech recognition for clinical documentation in the electronic health record. Int J Med Inform. 2019 10; 130:103938.
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Cvietusa PJ, Goodrich GK, Shoup JA, Steffen DA, Tacinas C, Wagner NM, Anderson CB, Ritzwoller DP, Bender BG. Implementing Health Care Technology Research into Practice to Improve Adult Asthma Management. J Allergy Clin Immunol Pract. 2019 03; 7(3):908-914.
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Zhou L, Blackley SV, Kowalski L, Doan R, Acker WW, Landman AB, Kontrient E, Mack D, Meteer M, Bates DW, Goss FR. Analysis of Errors in Dictated Clinical Documents Assisted by Speech Recognition Software and Professional Transcriptionists. JAMA Netw Open. 2018 07; 1(3):e180530.
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Bauer A, Lind K, Van Noort H, Myers M, Borgstede J. Ultrasound and Dual-Energy X-Ray Absorptiometry Report Transcription Error Rates and Strategies for Reduction. J Am Coll Radiol. 2018 Dec; 15(12):1784-1790.
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Goss FR, Zhou L, Weiner SG. Incidence of speech recognition errors in the emergency department. Int J Med Inform. 2016 09; 93:70-3.
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Bender BG, Cvietusa PJ, Goodrich GK, Lowe R, Nuanes HA, Rand C, Shetterly S, Tacinas C, Vollmer WM, Wagner N, Wamboldt FS, Xu S, Magid DJ. Pragmatic trial of health care technologies to improve adherence to pediatric asthma treatment: a randomized clinical trial. JAMA Pediatr. 2015 Apr; 169(4):317-23.
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Lambert-Kerzner A, Havranek EP, Plomondon ME, Albright K, Moore A, Gryniewicz K, Magid D, Ho PM. Patients' perspectives of a multifaceted intervention with a focus on technology: a qualitative analysis. Circ Cardiovasc Qual Outcomes. 2010 Nov; 3(6):668-74.
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