性教育和术语:SNOMED CT和LOINC中的差距分析
Nina Haffer1,2, Michael Rusongoza Muzoora1,2, Soumya Shivananda1,2
1Berlin Institute of Health at Charité - Universitatsmedizin Berlin.
Studies in health technology and informatics
|May 17, 2025
概括
像SNOMED CT和LOINC这样的国际医学术语显示了关于性身份,安全和性工作的标签偏见和元数据差距,需要为公平的医疗保健提供包容性的更新.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 性欲的社会学 性欲的社会学
背景情况:
- 国际医学术语对于标准化的健康数据至关重要.
- 像SNOMED CT和LOINC这样的现有系统可能包含偏差和差距.
- 对各种性健康方面的准确表现对于公平的护理至关重要.
研究的目的:
- 检查SNOMED CT和LOINC.中的标签偏差和元数据差距.
- 评估性身份,偏好,安全和性工作的表现.
- 通过改进术语,倡导包容和公平的医疗保健.
主要方法:
- 对SNOMED CT和LOINC术语的内容分析.
- 识别分类和标签中的特定缺陷.
- 对性健康主题的术语覆盖面进行比较分析.
主要成果:
- 鉴定了各种性别认同的包容性术语的缺乏.
- 发现了过时的性偏好分类.
- 指出性安全实践的认可不足,性工作的代表性不足.
- 强调需要改进绘图能力.
结论:
- 在SNOMED CT和LOINC中,在性方面表现出显著的偏见和差距.
- 更新是必要的,以确保准确和包容性的性多样性的代表.
- 解决这些局限性将促进更公平的医疗保健结果.
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