开发和实施一个实体关系图,用于围产期数据的实体关系图
Alison M Stuebe1, Randall Blanco2, Michael Horvath3
1Obstetrics and Gynecology, UNC School of Medicine, Maternal and Child Health, Gillings School of Global Public Health, Chapel Hill, NC, 27599, United States.
JAMIA open
|October 20, 2025
概括
开发了一种新的标准化方法,用于从电子健康记录 (EHR) 中提取围产期数据. 这种方法旨在改善对孕产妇健康结果的研究,并减少美国的差异.
科学领域:
- 围产期健康研究
- 医疗信息学 医疗信息学
- 临床数据标准化的标准化.
背景情况:
- 美国严重的孕产妇发病率和死亡率超过其他高收入国家.
- 在孕产妇健康状况方面,仍然存在显著的差异.
- 电子健康记录 (EHR) 包含有价值的研究数据,但需要标准化的提取方法.
研究的目的:
- 开发一种标准化的方法,从电子健康记录中提取围产期数据.
- 促进对严重孕产妇发病率和死亡率的研究.
- 为了解决围产期结果的差异.
主要方法:
- 在一个共同的数据模型中,协调了围产期EHR数据.
- 开发了一个实体关系图 (ERD) 用于聚合细分层面的数据 (母亲,婴儿,遭遇).
- 按妊娠年龄和分娩后的时间进行索引观察.
- 创建了一个标准的提取,转换和加载 (ETL) 过程,用于与怀孕有关的观察.
主要成果:
- 创建了一个ERD,以有效地汇总围产期EHR数据.
- 为EHR数据开发了一个标准化的ETL流程.
- 该方法可以将数据纳入PCORnet®通用数据模型.
结论:
- 开发的ERD促进了跨机构的围产期研究.
- 这种结构化的方法可以识别面临风险的人群和及时干预.
- 标准化的EHR数据提取加速了围产期研究,并可以改善结果.
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