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
- healthcare
- genome wide
- hiv testing
- public health
- emergency department
- mental health
- risk assessment
- clinical trial
- type diabetes
- data analysis
- health information
- men who have sex with men
- social media
- cross sectional
- human immunodeficiency virus
- high density