Evaluating Linkage Quality of Population-Based Administrative Data for Health Service Research.
Ji-Woo KimHyojung ChoiHyun Jeung LimMiae OhJae Joon AhnPublished in: Journal of Korean medical science (2024)
This study confirms the possibility of building health and medical data at the national level as the first data linkage quality verification study using big data from the HIRA. Analyzing the quality of linkages is crucial for comprehending linkage errors and generating reliable analytical outcomes. Linkers should increase the reliability of linked data by providing linkage error-related information to researchers. The results of this study will serve as reference data to increase the reliability of multicenter data linkage studies.
Keyphrases
- big data
- electronic health record
- artificial intelligence
- machine learning
- genome wide
- healthcare
- hiv testing
- quality improvement
- public health
- type diabetes
- mental health
- gene expression
- dna methylation
- clinical trial
- health information
- mass spectrometry
- men who have sex with men
- insulin resistance
- metabolic syndrome
- weight loss
- hiv infected
- social media
- high density