Assessing completeness and accuracy of the EHRs harbored at BigMouth Dental Data Repository-Supplement

项目摘要/摘要 这一拟议的应用程序将专注于探索新的方法和策略，以提高 用于口腔健康研究、牙科教育和患者的电子健康记录(EHR)数据 关心。这项研究将评估团体层面(教师与学生)和机构层面的数据质量维度 水平(在九个牙科学校地点)。三个质量维度将是-完整性、准确性和 2017-2019年大茅斯牙科数据库中存储的电子病历数据的一致性。这 该项目将通过评估颗粒组件(人口统计数据、牙科病史、 由学生和教师提供者输入的行为属性和健康史属性以查找缺失 数据。这些细粒度组件将跨变量、时间和患者进行测量。失踪的模式 数据将使用多个推算进行评估。数据的准确性将通过比较 将牙科照片转换为相应的X光图像。与数据的一致性有关的一致性 将通过比较BigMouse和我们所有人的属性来测量大型数据集中的大小，这些属性将提供 在大数据集中作为这些人口统计数据和患者特征的基准，并提高质量和 对数据存储库的信心。所有的分析将使用来自BigMouse牙科的EHR数据进行 包含九所牙科学校的临床数据的数据库。这项研究将有助于提高这一重要性 在口腔健康研究中使用电子健康记录数据；了解数据验证和可靠性的重要性；以及 改善牙科学校内的病人护理结果，为这个储存库做出贡献。

Project Summary/Abstract This proposed application will focus on exploring new methods and strategies to improve the usability of Electronic Health Record (EHR) data for the purpose of oral health research, dental education and patient care. The research will assess the data quality dimensions at group-level (faculty vs. student) and at institution level (across the nine dental school sites). The three quality dimensions will be –completeness, accuracy and consistency of the EHR data stored in the BigMouth dental data repository for the years 2017-2019. This project will analyze the completeness by assessing the granular components - demographics, dental history, behavioral attributes, and health history attributes inputted by the student and faculty providers for missing data. These granular components will be measured across variables, time, and patient. Patterns of missing data will be evaluated using multiple imputations. The accuracy of the data will be measured by comparing the odontogram to the corresponding radiographic image. The consistency that pertains to the constancy of data within a large dataset will be measured by comparing BigMouth and All of Us attributes that will provide a benchmark for these demographics and patient characteristics in large data sets and enhance the quality and confidence in the data repository. All the analysis will be done using the EHR data from the BigMouth dental data repository that contains clinical data from nine dental schools. This research will facilitate the importance of using EHR data in oral health research; understand the importance of data validation and reliability, and improving patient care outcomes within the dental schools that contribute to this repository.