AI Article Synopsis
- The increasing reliance on clinical epidemiological data from human specimens creates a demand for better clinical information management systems, especially in biobanks.
- Enhancements to the Korea Biobank Network (KBN) focused on data quality verification significantly improved data accuracy, reducing the error rate from 0.1198% to 0.0492%.
- This study highlights the critical role of data quality management in clinical research and paves the way for advancements in clinical information management systems.
Article Abstract
As the reliance on clinical epidemiological information from human specimens grows, so does the need for effective clinical information management systems, particularly for biobanks. Our study focuses on enhancing the Korea Biobank Network's (KBN) system with data quality verification features. By comparing the quality of data collected before and after these enhancements, we observed a notable improvement in data accuracy, with the error rate decreasing from 0.1198% to 0.0492%. This advancement underscores the importance of robust data quality management in supporting high-quality clinical research and sets a precedent for the development of clinical information management systems.
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| http://dx.doi.org/10.3233/SHTI240389 | DOI Listing |
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