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A data-driven performance dashboard for surgical dissection
Surgical error and resulting complication have significant patient and economic consequences. Inappropriate exertion of tool-tissue force is a common variable for such error, that can be objectively monitored by sensorized tools. The rich digital output establishes a powerful skill assessment and sh...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298519/ https://www.ncbi.nlm.nih.gov/pubmed/34294827 http://dx.doi.org/10.1038/s41598-021-94487-9 |
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author | Baghdadi, Amir Lama, Sanju Singh, Rahul Hoshyarmanesh, Hamidreza Razmi, Mohammadsaleh Sutherland, Garnette R. |
author_facet | Baghdadi, Amir Lama, Sanju Singh, Rahul Hoshyarmanesh, Hamidreza Razmi, Mohammadsaleh Sutherland, Garnette R. |
author_sort | Baghdadi, Amir |
collection | PubMed |
description | Surgical error and resulting complication have significant patient and economic consequences. Inappropriate exertion of tool-tissue force is a common variable for such error, that can be objectively monitored by sensorized tools. The rich digital output establishes a powerful skill assessment and sharing platform for surgical performance and training. Here we present SmartForceps data app incorporating an Expert Room environment for tracking and analysing the objective performance and surgical finesse through multiple interfaces specific for surgeons and data scientists. The app is enriched by incoming geospatial information, data distribution for engineered features, performance dashboard compared to expert surgeon, and interactive skill prediction and task recognition tools to develop artificial intelligence models. The study launches the concept of democratizing surgical data through a connectivity interface between surgeons with a broad and deep capability of geographic reach through mobile devices with highly interactive infographics and tools for performance monitoring, comparison, and improvement. |
format | Online Article Text |
id | pubmed-8298519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82985192021-07-23 A data-driven performance dashboard for surgical dissection Baghdadi, Amir Lama, Sanju Singh, Rahul Hoshyarmanesh, Hamidreza Razmi, Mohammadsaleh Sutherland, Garnette R. Sci Rep Article Surgical error and resulting complication have significant patient and economic consequences. Inappropriate exertion of tool-tissue force is a common variable for such error, that can be objectively monitored by sensorized tools. The rich digital output establishes a powerful skill assessment and sharing platform for surgical performance and training. Here we present SmartForceps data app incorporating an Expert Room environment for tracking and analysing the objective performance and surgical finesse through multiple interfaces specific for surgeons and data scientists. The app is enriched by incoming geospatial information, data distribution for engineered features, performance dashboard compared to expert surgeon, and interactive skill prediction and task recognition tools to develop artificial intelligence models. The study launches the concept of democratizing surgical data through a connectivity interface between surgeons with a broad and deep capability of geographic reach through mobile devices with highly interactive infographics and tools for performance monitoring, comparison, and improvement. Nature Publishing Group UK 2021-07-22 /pmc/articles/PMC8298519/ /pubmed/34294827 http://dx.doi.org/10.1038/s41598-021-94487-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Baghdadi, Amir Lama, Sanju Singh, Rahul Hoshyarmanesh, Hamidreza Razmi, Mohammadsaleh Sutherland, Garnette R. A data-driven performance dashboard for surgical dissection |
title | A data-driven performance dashboard for surgical dissection |
title_full | A data-driven performance dashboard for surgical dissection |
title_fullStr | A data-driven performance dashboard for surgical dissection |
title_full_unstemmed | A data-driven performance dashboard for surgical dissection |
title_short | A data-driven performance dashboard for surgical dissection |
title_sort | data-driven performance dashboard for surgical dissection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298519/ https://www.ncbi.nlm.nih.gov/pubmed/34294827 http://dx.doi.org/10.1038/s41598-021-94487-9 |
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