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

项目总结/摘要 这个拟议的应用程序将集中在探索新的方法和策略，以提高可用性， 电子健康记录（EHR）数据用于口腔健康研究，牙科教育和患者 在乎该研究将评估组级（教师与学生）和机构的数据质量维度 （九个牙科学校）。三个质量维度将是完整性、准确性和 BigMouth牙科数据存储库中存储的2017-2019年EHR数据的一致性。这 项目将通过评估颗粒成分-人口统计学，牙科史， 行为属性，以及由学生和教师提供者输入的用于缺失的健康历史属性 数据这些颗粒成分将在变量、时间和患者之间进行测量。失踪模式 将使用多重插补对数据进行评价。数据的准确性将通过比较 与相应的放射线图像进行比较。与数据的恒定性有关的一致性 将通过比较BigMouth和All of Us属性来衡量，这些属性将提供一个 在大型数据集中，这些人口统计学和患者特征的基准，并提高质量和 对数据仓库的信心。所有的分析都将使用来自BigMouth牙科的EHR数据进行 数据存储库，包含来自九所牙科学校的临床数据。这项研究将促进重要性 在口腔健康研究中使用EHR数据;了解数据验证和可靠性的重要性， 改善牙科学校内的病人护理结果，为这个知识库做出贡献。

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.