Methods: 3x3 DQA was developed through the triangulation results from three studies: a
review of the literature on EHR data quality assessment, a quantitative study of EHR data …

Objective: Harmonized data quality (DQ) assessment terms, methods, and reporting
practices can establish a common understanding of the strengths and limitations of …

Objective To review the methods and dimensions of data quality assessment in the context
of electronic health record (EHR) data reuse for research. Materials and methods A review of …

Objective We extended a 2013 literature review on electronic health record (EHR) data
quality assessment approaches and tools to determine recent improvements or changes in …

Abstract Information systems such as Electronic Health Record (EHR) systems are
susceptible to data quality (DQ) issues. Given the growing importance of EHR data, there is …

Previous reviews of research on electronic health record (EHR) data quality have not
focused on the needs of quality measurement. The authors reviewed empirical studies of …

The secondary use of EHR data for research is expected to improve health outcomes for
patients, but the benefits will only be realized if the data in the EHR is of sufficient quality to …

Objective To synthesize data quality (DQ) dimensions and assessment methods of real-
world data, especially electronic health records, through a systematic scoping review and to …

The proliferation of the electronic health record (EHR) has led to increasing interest and
opportunities for nurse scientists to use EHR data in a variety of research designs. However …

Objectives Strong data quality (DQ) is a precursor to strong data use. In resource limited
settings, routine DQ assessment (DQA) within electronic medical record (EMR) systems can …