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A Review of the State of the Art of Data Quality in Healthcare
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Author(s): Caihua Liu (Guilin University of Electronic Technology, China), Amir Talaei-Khoei (University of Nevada, Reno, USA), Veda C. Storey (Georgia State University, USA)and Guochao Peng (Sun Yat-sen University, China)
Copyright: 2023
Volume: 31
Issue: 1
Pages: 18
Source title:
Journal of Global Information Management (JGIM)
Editor(s)-in-Chief: Zuopeng (Justin) Zhang (University of North Florida, USA)
DOI: 10.4018/JGIM.316236
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Abstract
Effective implementation of strategic data-driven health analysis initiatives is heavily dependent on the quality of the electronic medical records that serve as the foundation from which to improve clinical decisions and, in turn, the quality of care. Although there is a large body of research on the quality of healthcare data, a systematical understanding of the methods used to address the issues of data quality is missing. This study analyzes research articles in health information systems/healthcare informatics on data quality to derive a set of dimensions for understanding data quality. Issues related to each dimension are identified and methods used to address them summarized. The issues and methods can inform healthcare professionals of how to improve data practices.
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