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Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review
STUDY DESIGN: Literature review and survey. OBJECTIVES: To provide an overview of existing computerized International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms and to evaluate the use of the current algorithms in research and clinical care. SETTING: Not app...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970871/ https://www.ncbi.nlm.nih.gov/pubmed/36114239 http://dx.doi.org/10.1038/s41393-022-00854-2 |
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author | Walden, Kristen Schuld, Christian Noonan, Vanessa K. Rupp, Rüdiger |
author_facet | Walden, Kristen Schuld, Christian Noonan, Vanessa K. Rupp, Rüdiger |
author_sort | Walden, Kristen |
collection | PubMed |
description | STUDY DESIGN: Literature review and survey. OBJECTIVES: To provide an overview of existing computerized International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms and to evaluate the use of the current algorithms in research and clinical care. SETTING: Not applicable. METHODS: Literature review according to three organizing concepts for evaluation of Health Information Products (reach, usefulness, and use) was conducted. RESULTS: While the use of computerized ISNCSCI algorithms has been around for many years, many were developed and used internally for specific projects or not maintained. Today the International SCI community has free access to algorithms from the European Multicenter Study about Spinal Cord Injury (EMSCI) and the Praxis Spinal Cord Institute. Both algorithms have been validated in large datasets and are used in different SCI registries for quality control and education purposes. The use of the Praxis Institute algorithm by clinicians was highlighted through the Praxis User Survey (n = 76) which included participants from 27 countries. The survey found that over half of the participants using the algorithm (N = 69) did so on a regular basis (51%), with 54% having incorporated it into their regular workflow. CONCLUSIONS: Validated computerized ISNCSCI classification tools have evolved substantially and support education, clinical documentation, communication between clinicians and their patients, and ISNCSCI data quality around the world. They are not intended to replace well-trained clinicians, but allow for reclassification of ISNCSCI datasets with updated versions of the ISCNSCI, and support rapid classification of large datasets. |
format | Online Article Text |
id | pubmed-9970871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99708712023-03-01 Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review Walden, Kristen Schuld, Christian Noonan, Vanessa K. Rupp, Rüdiger Spinal Cord Article STUDY DESIGN: Literature review and survey. OBJECTIVES: To provide an overview of existing computerized International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms and to evaluate the use of the current algorithms in research and clinical care. SETTING: Not applicable. METHODS: Literature review according to three organizing concepts for evaluation of Health Information Products (reach, usefulness, and use) was conducted. RESULTS: While the use of computerized ISNCSCI algorithms has been around for many years, many were developed and used internally for specific projects or not maintained. Today the International SCI community has free access to algorithms from the European Multicenter Study about Spinal Cord Injury (EMSCI) and the Praxis Spinal Cord Institute. Both algorithms have been validated in large datasets and are used in different SCI registries for quality control and education purposes. The use of the Praxis Institute algorithm by clinicians was highlighted through the Praxis User Survey (n = 76) which included participants from 27 countries. The survey found that over half of the participants using the algorithm (N = 69) did so on a regular basis (51%), with 54% having incorporated it into their regular workflow. CONCLUSIONS: Validated computerized ISNCSCI classification tools have evolved substantially and support education, clinical documentation, communication between clinicians and their patients, and ISNCSCI data quality around the world. They are not intended to replace well-trained clinicians, but allow for reclassification of ISNCSCI datasets with updated versions of the ISCNSCI, and support rapid classification of large datasets. Nature Publishing Group UK 2022-09-16 2023 /pmc/articles/PMC9970871/ /pubmed/36114239 http://dx.doi.org/10.1038/s41393-022-00854-2 Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Walden, Kristen Schuld, Christian Noonan, Vanessa K. Rupp, Rüdiger Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review |
title | Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review |
title_full | Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review |
title_fullStr | Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review |
title_full_unstemmed | Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review |
title_short | Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review |
title_sort | computer international standards for neurological classification of spinal cord injury (isncsci) algorithms: a review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970871/ https://www.ncbi.nlm.nih.gov/pubmed/36114239 http://dx.doi.org/10.1038/s41393-022-00854-2 |
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