… of EHR data quality, to remain aware of the task-dependence of data quality, to integrate work
on data quality assessment … driven, statistically based methods of data quality assessment. …

… and terminology to develop reusable data quality assessment and reporting methods. …
transparent reporting of data quality assessment results for observational healthcare data. eGEMs (…

… Second, we mapped methods of data quality assessment to the data quality constructs for
which they are appropriate. Finally, we mapped the data quality assessment methods to the …

… study to assess the ability of rules-based data quality assessment to identify data errors of
… feasibility and potential benefit of data quality assessment and management in health care: …

… of guiding initial data quality assessment when matching multiple data sources regardless of
… analysis of a longitudinal data repository of electronic health record data that illustrates the …

… We propose a “fit-for-use” conceptual model for data quality assessment and a process
model for planning and conducting single-site and multisite data quality assessments. These …

… problems pertaining to data quality may arise when EHR data are used … data quality and
approaches for quality appraisal in EHR research. Common data quality domains include data …

… data are obtained from individual health records … of data quality are embedded in the
lifecycle of public health practice, we propose a conceptual framework for data quality assessment …

… This effort, which we term data quality assessment (DQA), currently varies … data quality
assessment that is based on principles from informatics theory and practices from healthcare …

… , and the visualization of observational health data [2]. ACHILLES … data quality, named
Achilles Heel. Achilles Heel issued 36 errors and 13 warnings from our initial AUSOM data. We …