Process for Quality Management of Electronic Medical Records–Based Data: Case Study Using Real Colorectal Cancer Data
In sum, we developed a rules-based QMP to address errors and impute missing values in Korea Clinical Data Use Network for Research Excellence data, enhancing data quality. The applicability of the process to real-world datasets highlights its potential for broader use in clinical studies and cancer research.
Authors
- Jeong‐Heum Baek (ORCID: https://orcid.org/0000-0001-9124-8041)
- Woongsang Sunwoo (ORCID: https://orcid.org/0000-0002-0259-8654)
- Suehyun Lee (ORCID: https://orcid.org/0000-0003-0651-6481)
- Hyekyung Woo (ORCID: https://orcid.org/0000-0001-5489-3404)
- Kyung-Min Na (ORCID: https://orcid.org/0009-0006-1256-530X)
- Youngho Lee (ORCID: https://orcid.org/0000-0003-0720-0569)
- N. Park (ORCID: https://orcid.org/0009-0000-0825-402X)
Institutions
- Gachon University (KR)
- Kongju National University (KR)
- Seoul National University Bundang Hospital (KR)
- Gachon University Gil Medical Center (KR)
- Gongju National University of Education (KR)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-11-13
- DOI
- https://doi.org/10.2196/73884
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00