在牙科教育中评估电子健康记录的完整性:一项大数据研究
Tamanna Tiwari1, Maxim Kondratenko1, Nihmath Nasiha1
1School of Dental Medicine, University of Colorado, Aurora, CO, United States.
Frontiers in oral health
|June 18, 2025
概括
这项研究评估了牙科电子健康记录 (EHR) 数据的完整性. 人口统计数据非常完整,但根据提供者类型 (学生,教师,居民) 的牙科和行为数据有很大差异.
科学领域:
- 口腔健康研究 口腔健康研究
- 医疗信息学 医疗信息学
- 牙科公共卫生 牙科公共卫生
背景情况:
- 大嘴牙科数据库使用了美国牙科院所的电子健康记录 (EHR) 数据.
- 评估数据质量,包括完整性,对于利用EHR数据在研究中至关重要.
- 了解跨供应商类型的数据完整性对于准确分析至关重要.
研究的目的:
- 在BigMouth牙科数据库中确定患者健康记录的完整性.
- 分析人口统计,牙科,行为和健康史变量的数据完整性.
- 为了比较2017-2019年学生,教师和居民之间的数据完整性.
主要方法:
- 对人口统计,牙科,行为和健康史变量进行分析,以获得完整性.
- 利用ANOVA检测数据采集完整性的差异,根据提供者类型和年份.
- 计算的效果大小将学生与其他提供者类型进行比较.
主要成果:
- 人口统计学变量 (年龄,性别,邮政编码) 显示高完整性 (97.6%-99.9%).
- 牙科和行为变量表现出较低的完整性 (1.5%-66.1%),表明研究的局限性.
- 学生在种族/种族和行为/健康史数据方面具有更高的完整性,而教师/居民在保险数据方面具有更高的完整性.
结论:
- 在学生,教师和居民之间,电子健康记录数据的完整性存在显著差异.
- 人口和健康变量在数据集中显示出强大的完整性.
- 意识到完整度的变化对于未来使用这种牙科电子记录库的研究至关重要.
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