技术重要:在数字时代,整体神经分离识别的本质
Guy Chadwick1, Claire Davidson1, Jason Lang1
1University of Glasgow, Glasgow, UK.
Child and adolescent mental health
|July 4, 2025
概括
本研究介绍ESSENCE-D,这是一种用于全面评估神经发育特征的数字工具. 它通过分析神经类型的优势和需求来支持个性化护理,超越孤立的诊断.
科学领域:
- 神经科学是一个神经科学.
- 临床心理学 临床心理学
- 数字健康数字健康
背景情况:
- 神经分歧越来越多地被理解为重叠的特征,而不是不同的类别.
- 临床服务在采用整体评估方面面临挑战,原因是特定条件的途径.
- 有需要的工具,支持全面的神经发育配方.
研究的目的:
- 推出ESSENCE-D,一个用于神经发育配方的数字工具.
- 支持临床医生和家庭了解神经分歧个体的优势和需求.
- 促进神经发育护理中的多学科决策.
主要方法:
- 开发ESSENCE-D,这是一种用于调查神经发育特征的数字工具.
- 使用ESSENCE-D生成个人优势和需求的视觉配置文件.
- 与临床医生和家庭一起进行ESSENCE-D工具的初步试点.
主要成果:
- ESSENCE-D促进了一种整体的,基于需求的评估方法.
- 由ESSENCE-D生成的视觉配置文件有助于理解个体的神经发育配置文件.
- 初步数据表明,ESSENCE-D具有敏感性和用户友好性.
结论:
- 在简化整体神经发育路径方面,ESSENCE-D显示出前景.
- 该工具将神经发育服务与神经多样性原则保持一致.
- ESSENCE-D有可能改善对神经分歧个体的护理.
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