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计算机国际标准神经学分类脊髓损伤(ISNCSCI)算法:综述。

Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review.

机构信息

Praxis Spinal Cord Institute, Vancouver, BC, Canada.

Spinal Cord Injury Center, Heidelberg University Hospital, Heidelberg, Germany.

出版信息

Spinal Cord. 2023 Feb;61(2):125-132. doi: 10.1038/s41393-022-00854-2. Epub 2022 Sep 16.

Abstract

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.

摘要

研究设计

文献回顾和调查。

目的

提供现有国际脊髓损伤神经分类标准(ISNCSCI)计算机算法的概述,并评估当前算法在研究和临床护理中的应用。

设置

不适用。

方法

根据健康信息产品评估的三个组织概念(覆盖范围、有用性和使用)进行文献回顾。

结果

虽然计算机化的 ISNCSCI 算法已经使用了很多年,但许多算法是为特定项目内部开发和使用的,或者没有得到维护。如今,国际脊髓损伤社区可以免费访问欧洲多中心脊髓损伤研究(EMSCI)和 Praxis 脊髓研究所的算法。这两种算法都在大型数据集上进行了验证,并在不同的脊髓损伤登记处用于质量控制和教育目的。通过 Praxis 用户调查(n=76)强调了临床医生对 Praxis 研究所算法的使用,该调查包括来自 27 个国家的参与者。调查发现,超过一半使用该算法的参与者(N=69)定期使用它(51%),其中 54%的参与者将其纳入了他们的日常工作流程。

结论

经过验证的计算机化 ISNCSCI 分类工具已经有了很大的发展,支持教育、临床文档、临床医生与其患者之间的沟通以及全球范围内的 ISNCSCI 数据质量。它们不是为了取代经过良好培训的临床医生,而是允许使用更新版本的 ISCNSCI 重新分类 ISNCSCI 数据集,并支持对大型数据集的快速分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/91d8/9970871/85902d92fe6a/41393_2022_854_Fig1_HTML.jpg

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