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Introduction of digital speech recognition in a specialised outpatient department: a case study
BACKGROUND: Speech recognition software might increase productivity in clinical documentation. However, low user satisfaction with speech recognition software has been observed. In this case study, an approach for implementing a speech recognition software package at a university-based outpatient de...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070188/ https://www.ncbi.nlm.nih.gov/pubmed/27756284 http://dx.doi.org/10.1186/s12911-016-0374-4 |
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author | Ahlgrim, Christoph Maenner, Oliver Baumstark, Manfred W. |
author_facet | Ahlgrim, Christoph Maenner, Oliver Baumstark, Manfred W. |
author_sort | Ahlgrim, Christoph |
collection | PubMed |
description | BACKGROUND: Speech recognition software might increase productivity in clinical documentation. However, low user satisfaction with speech recognition software has been observed. In this case study, an approach for implementing a speech recognition software package at a university-based outpatient department is presented. METHODS: Methods to create a specific dictionary for the context “sports medicine” and a shared vocabulary learning function are demonstrated. The approach is evaluated for user satisfaction (using a questionnaire before and 10 weeks after software implementation) and its impact on the time until the final medical document was saved into the system. RESULTS: As a result of implementing speech recognition software, the user satisfaction was not remarkably impaired. The median time until the final medical document was saved was reduced from 8 to 4 days. CONCLUSION: In summary, this case study illustrates how speech recognition can be implemented successfully when the user experience is emphasised. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12911-016-0374-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5070188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50701882016-10-24 Introduction of digital speech recognition in a specialised outpatient department: a case study Ahlgrim, Christoph Maenner, Oliver Baumstark, Manfred W. BMC Med Inform Decis Mak Technical Advance BACKGROUND: Speech recognition software might increase productivity in clinical documentation. However, low user satisfaction with speech recognition software has been observed. In this case study, an approach for implementing a speech recognition software package at a university-based outpatient department is presented. METHODS: Methods to create a specific dictionary for the context “sports medicine” and a shared vocabulary learning function are demonstrated. The approach is evaluated for user satisfaction (using a questionnaire before and 10 weeks after software implementation) and its impact on the time until the final medical document was saved into the system. RESULTS: As a result of implementing speech recognition software, the user satisfaction was not remarkably impaired. The median time until the final medical document was saved was reduced from 8 to 4 days. CONCLUSION: In summary, this case study illustrates how speech recognition can be implemented successfully when the user experience is emphasised. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12911-016-0374-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-18 /pmc/articles/PMC5070188/ /pubmed/27756284 http://dx.doi.org/10.1186/s12911-016-0374-4 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Technical Advance Ahlgrim, Christoph Maenner, Oliver Baumstark, Manfred W. Introduction of digital speech recognition in a specialised outpatient department: a case study |
title | Introduction of digital speech recognition in a specialised outpatient department: a case study |
title_full | Introduction of digital speech recognition in a specialised outpatient department: a case study |
title_fullStr | Introduction of digital speech recognition in a specialised outpatient department: a case study |
title_full_unstemmed | Introduction of digital speech recognition in a specialised outpatient department: a case study |
title_short | Introduction of digital speech recognition in a specialised outpatient department: a case study |
title_sort | introduction of digital speech recognition in a specialised outpatient department: a case study |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070188/ https://www.ncbi.nlm.nih.gov/pubmed/27756284 http://dx.doi.org/10.1186/s12911-016-0374-4 |
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