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

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。这项研究将评估群体层面(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)。两个质量维度将是-完整性和准确性 2017-2019年存储在BigMuss牙科数据库中的EHR数据。该项目将分析 通过评估颗粒组件的完整性-人口统计、牙科病史、行为属性、 以及由学生和教师提供者输入的用于丢失数据的健康历史属性。这些颗粒状的 组件将跨变量、时间和患者进行测量。将评估丢失数据的模式 使用多重归罪。数据的准确性将通过比较牙片和 相应的射线图像。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。

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 two quality dimensions will be –completeness and accuracy 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 variable, time and patient. Patterns of missing data will be evaluated using multiple imputation. The accuracy of the data will be measured by comparing the odontogram to the corresponding radiographic image. 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.