In healthcare, data moves with the patients they reference, creating interdependencies between healthcare organizations. This means that poor data management in one organization can negatively and cascading affect other organizations and the quality of care a patient receives. The large number of different data sources in healthcare leads to significant complexity in their management. As a result, there is currently a reactive approach to data quality management, which contributes to a lack of trust in data, as users only become aware of data quality issues when they first try to use the data. This paper examines the issues that define and control data quality and the mechanisms that can be developed to achieve and maintain good data quality in the light of the literature.
Primary Language | English |
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Subjects | Data Quality |
Journal Section | Research Article |
Authors | |
Publication Date | May 30, 2024 |
Submission Date | May 1, 2024 |
Acceptance Date | May 21, 2024 |
Published in Issue | Year 2024 Volume: 1 Issue: 1 |