健康本体学的社会决定因素的系统设计和数据驱动的评估 (SDoHO)
Yifang Dang1, Fang Li1, Xinyue Hu1
1School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
概括
一个新的健康本体学的社会决定因素 (SDoHO) 标准化了健康因素. 这个本体学旨在提高对健康的社会决定因素的理解,并促进健康公平.
科学领域:
- 生物医学信息学 生物医学信息学
- 公共卫生 公共卫生
- 本体学 工程学 工程学
背景情况:
- 健康的社会决定因素 (SDoH) 显著影响健康结果,并导致医疗保健差异.
- 需要一种标准化的方法来将SDoH整合到生物医学信息学中,以促进健康的系统.
- 现有的术语缺乏对SDoH因素及其关系的全面表示.
研究的目的:
- 制定一个正式的健康本体学的社会决定因素 (SDoHO).
- 以标准化,可测量的格式表示基本的SDoH因素及其关系.
- 解决SDoH中关于高级生物医学信息学应用的术语缺口.
主要方法:
- 使用自上而下的方法来建模基于SDoH资源的SDoHO类和关系.
- 利用了与SDoH方面相关的现有实体学.
- 通过使用临床笔记和国家调查数据进行了专家审查和自下而上的评估.
主要成果:
- SDoHO包含708个类,106个对象属性和20个数据属性.
- 在语义评估过程中,达成了高专家一致意见 (0.967).
- 与临床笔记和调查数据进行比较时,证明了令人满意的覆盖率结果.
结论:
- SDoHO提供了一个基本的框架来理解SDoH健康结果的关联.
- 它有助于在不同的人群中推进健康公平.
- 本体论提供了精心设计的层次结构,实用性质和多功能功能.
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