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A System for Computational Assessment of Hand Hygiene Techniques
The World Health Organization (WHO) recommends a six-step hand hygiene technique. Although multiple studies have reported that this technique yields inadequate skin coverage outcomes, they have relied on manual labeling that provided low-resolution estimations of skin coverage outcomes. We have deve...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076723/ https://www.ncbi.nlm.nih.gov/pubmed/35522356 http://dx.doi.org/10.1007/s10916-022-01817-z |
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author | Wang, Chaofan Jiang, Weiwei Yang, Kangning Sarsenbayeva, Zhanna Tag, Benjamin Dingler, Tilman Goncalves, Jorge Kostakos, Vassilis |
author_facet | Wang, Chaofan Jiang, Weiwei Yang, Kangning Sarsenbayeva, Zhanna Tag, Benjamin Dingler, Tilman Goncalves, Jorge Kostakos, Vassilis |
author_sort | Wang, Chaofan |
collection | PubMed |
description | The World Health Organization (WHO) recommends a six-step hand hygiene technique. Although multiple studies have reported that this technique yields inadequate skin coverage outcomes, they have relied on manual labeling that provided low-resolution estimations of skin coverage outcomes. We have developed a computational system to precisely quantify hand hygiene outcomes and provide high-resolution skin coverage visualizations, thereby improving hygiene techniques. We identified frequently untreated areas located at the dorsal side of the hands around the abductor digiti minimi and the first dorsal interosseous. We also estimated that excluding Steps 3, 6R, and 6L from the six-step hand hygiene technique leads to cumulative coverage loss of less than 1%, indicating the potential redundancy of these steps. Our study demonstrates that the six-step hand hygiene technique could be improved to reduce the untreated areas and remove potentially redundant steps. Furthermore, our system can be used to computationally validate new proposed techniques, and help optimise hand hygiene procedures. |
format | Online Article Text |
id | pubmed-9076723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-90767232022-05-08 A System for Computational Assessment of Hand Hygiene Techniques Wang, Chaofan Jiang, Weiwei Yang, Kangning Sarsenbayeva, Zhanna Tag, Benjamin Dingler, Tilman Goncalves, Jorge Kostakos, Vassilis J Med Syst Image & Signal Processing The World Health Organization (WHO) recommends a six-step hand hygiene technique. Although multiple studies have reported that this technique yields inadequate skin coverage outcomes, they have relied on manual labeling that provided low-resolution estimations of skin coverage outcomes. We have developed a computational system to precisely quantify hand hygiene outcomes and provide high-resolution skin coverage visualizations, thereby improving hygiene techniques. We identified frequently untreated areas located at the dorsal side of the hands around the abductor digiti minimi and the first dorsal interosseous. We also estimated that excluding Steps 3, 6R, and 6L from the six-step hand hygiene technique leads to cumulative coverage loss of less than 1%, indicating the potential redundancy of these steps. Our study demonstrates that the six-step hand hygiene technique could be improved to reduce the untreated areas and remove potentially redundant steps. Furthermore, our system can be used to computationally validate new proposed techniques, and help optimise hand hygiene procedures. Springer US 2022-05-06 2022 /pmc/articles/PMC9076723/ /pubmed/35522356 http://dx.doi.org/10.1007/s10916-022-01817-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Image & Signal Processing Wang, Chaofan Jiang, Weiwei Yang, Kangning Sarsenbayeva, Zhanna Tag, Benjamin Dingler, Tilman Goncalves, Jorge Kostakos, Vassilis A System for Computational Assessment of Hand Hygiene Techniques |
title | A System for Computational Assessment of Hand Hygiene Techniques |
title_full | A System for Computational Assessment of Hand Hygiene Techniques |
title_fullStr | A System for Computational Assessment of Hand Hygiene Techniques |
title_full_unstemmed | A System for Computational Assessment of Hand Hygiene Techniques |
title_short | A System for Computational Assessment of Hand Hygiene Techniques |
title_sort | system for computational assessment of hand hygiene techniques |
topic | Image & Signal Processing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076723/ https://www.ncbi.nlm.nih.gov/pubmed/35522356 http://dx.doi.org/10.1007/s10916-022-01817-z |
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