通过使用常规健康数据,将家庭成员联系起来,并定义关系网络
Jeffrey I Campbell1, Ana Poblacion, Richard Sheward
1Department of Pediatrics, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Current opinion in pediatrics
|November 7, 2024
概括
来自电子健康记录的链接关系网络提供以家庭为中心的护理和研究见解. 然而,了解它们的局限性和偏见对于在医疗保健和流行病学中有效应用至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 流行病学 流行病学
- 遗传学 是一个遗传学.
背景情况:
- 电子健康记录 (EHR) 和大型健康数据库可以创建链接的关系网络.
- 这些网络将个人连接到家庭和家庭结构中,为家庭层面的护理和代际研究提供了潜力.
- 链接的关系网络越来越多地出现在电子健康记录和研究数据库中,需要了解它们的挑战.
研究的目的:
- 审查与医疗保健和研究中的关联关系网络相关的机遇和挑战.
- 突出这些网络的临床和研究应用.
- 确定网络创建匹配算法的使用中的局限性和研究缺口.
主要方法:
- 审查用于在EHR和健康数据库中创建链接关系网络的匹配算法.
- 对临床和研究应用的分析,包括母婴护理,药物流行病学和遗传性研究.
- 识别与这些算法相关的伦理,技术和有效性挑战.
主要成果:
- 匹配算法被积极用于构建链接的关系网络.
- 临床应用包括双节性母婴护理.
- 研究应用包括药物流行病学,慢性疾病的遗传性和医疗保健准入研究.
- 伦理和技术挑战,以及外部有效性的差距,限制了这些算法的当前使用.
结论:
- 连接的关系网络在儿科临床护理和研究中得到了广泛的应用.
- 为了充分了解当前匹配策略的范围,局限性和固有的偏见,进一步的研究是必不可少的.
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