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Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences

BACKGROUND: The context of the current study was mandatory adoption of electronic clinical documentation within a large mental health care organization. Psychiatric electronic documentation has unique needs by the nature of dense narrative content. Our goal was to determine if speech recognition (SR...

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Autores principales: Derman, Yaron D, Arenovich, Tamara, Strauss, John
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2939584/
https://www.ncbi.nlm.nih.gov/pubmed/20738875
http://dx.doi.org/10.1186/1472-6947-10-44
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author Derman, Yaron D
Arenovich, Tamara
Strauss, John
author_facet Derman, Yaron D
Arenovich, Tamara
Strauss, John
author_sort Derman, Yaron D
collection PubMed
description BACKGROUND: The context of the current study was mandatory adoption of electronic clinical documentation within a large mental health care organization. Psychiatric electronic documentation has unique needs by the nature of dense narrative content. Our goal was to determine if speech recognition (SR) would ease the creation of electronic progress note (ePN) documents by physicians at our institution. METHODS: Subjects: Twelve physicians had access to SR software on their computers for a period of four weeks to create ePN. Measurements: We examined SR software in relation to its perceived usability, data entry time savings, impact on the quality of care and quality of documentation, and the impact on clinical and administrative workflow, as compared to existing methods for data entry. Data analysis: A series of Wilcoxon signed rank tests were used to compare pre- and post-SR measures. A qualitative study design was used. RESULTS: Six of twelve participants completing the study favoured the use of SR (five with SR alone plus one with SR via hand-held digital recorder) for creating electronic progress notes over their existing mode of data entry. There was no clear perceived benefit from SR in terms of data entry time savings, quality of care, quality of documentation, or impact on clinical and administrative workflow. CONCLUSIONS: Although our findings are mixed, SR may be a technology with some promise for mental health documentation. Future investigations of this nature should use more participants, a broader range of document types, and compare front- and back-end SR methods.
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spelling pubmed-29395842010-09-16 Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences Derman, Yaron D Arenovich, Tamara Strauss, John BMC Med Inform Decis Mak Research Article BACKGROUND: The context of the current study was mandatory adoption of electronic clinical documentation within a large mental health care organization. Psychiatric electronic documentation has unique needs by the nature of dense narrative content. Our goal was to determine if speech recognition (SR) would ease the creation of electronic progress note (ePN) documents by physicians at our institution. METHODS: Subjects: Twelve physicians had access to SR software on their computers for a period of four weeks to create ePN. Measurements: We examined SR software in relation to its perceived usability, data entry time savings, impact on the quality of care and quality of documentation, and the impact on clinical and administrative workflow, as compared to existing methods for data entry. Data analysis: A series of Wilcoxon signed rank tests were used to compare pre- and post-SR measures. A qualitative study design was used. RESULTS: Six of twelve participants completing the study favoured the use of SR (five with SR alone plus one with SR via hand-held digital recorder) for creating electronic progress notes over their existing mode of data entry. There was no clear perceived benefit from SR in terms of data entry time savings, quality of care, quality of documentation, or impact on clinical and administrative workflow. CONCLUSIONS: Although our findings are mixed, SR may be a technology with some promise for mental health documentation. Future investigations of this nature should use more participants, a broader range of document types, and compare front- and back-end SR methods. BioMed Central 2010-08-25 /pmc/articles/PMC2939584/ /pubmed/20738875 http://dx.doi.org/10.1186/1472-6947-10-44 Text en Copyright ©2010 Derman et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Derman, Yaron D
Arenovich, Tamara
Strauss, John
Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences
title Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences
title_full Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences
title_fullStr Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences
title_full_unstemmed Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences
title_short Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences
title_sort speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2939584/
https://www.ncbi.nlm.nih.gov/pubmed/20738875
http://dx.doi.org/10.1186/1472-6947-10-44
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