将交叉性纳入生物医学信息学的机会
Oliver J Bear Don't Walk1, Amandalynne Paullada1, Avery Everhart2
1Department of Biomedical Informatics and Medical Education, University of Washington, United States.
Journal of biomedical informatics
|May 11, 2024
概括
生物医学信息学 (BMI) 研究可以通过使用交叉性来改进,这是一个研究特权和压迫社会制度如何影响健康的框架. 应用这种镜头可以导致更有效的健康干预和社会变革.
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
- 社会学 社会学 社会学
背景情况:
- 生物医学信息学 (BMI) 研究往往侧重于对健康结果的数据操纵.
- 现有的BMI方法可能无法完全解决健康不平等的系统驱动因素.
- 交叉性为分析对健康的复杂社会结构影响提供了一个框架.
研究的目的:
- 提出交叉性作为一种干预措施,以加强BMI研究.
- 探索交叉性如何刺激BMI研究的新途径.
- 倡导BMI研究,解决系统不平等问题,促进社会变革.
主要方法:
- 对BMI相关的交叉性历史和核心原则的审查.
- 详细阐述BMI研究中交叉性的潜在应用.
- 确定将交叉性纳入BMI的五个关键考虑因素.
主要成果:
- 交叉性提供了一个透镜,通过特权和压迫的相互作用来理解健康.
- 应用交叉性可以揭示不同群体内健康结果的细微差别.
- 通过考虑系统因素,上游驱动因素和社会变化,BMI研究可以得到推进.
结论:
- 将交叉性纳入BMI研究对于解决健康差异至关重要.
- BMI的努力应该考虑到健康驱动因素和社会结构的相互关联性.
- 未来的BMI研究应该利用交叉性来告知政策并推动改善健康的社会变革.
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