ArticleScientific data2023
Scalable Infrastructure Supporting Reproducible Nationwide Healthcare Data Analysis toward FAIR Stewardship.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Glucagon-Like Peptide-1 Receptor Agonists and Risk of Mental Health Disorders in Type 2 Diabetes: Active Comparator, New User Cohort Study.Diabetes, obesity & metabolism · 2026Article
- Development and external validation of an explainable machine learning model for predicting chronic kidney disease progression in the Korean population.Kidney research and clinical practice · 2026Article
- A Multimodal Dataset of Full-Body Kinematics and Kinetics from Laboratory- and Wearable-Based Systems.Scientific data · 2026Article
- Multimorbidity and risk of infection in patients with rheumatoid arthritis: Population-based case-control study.Seminars in arthritis and rheumatism · 2026Article
- Association of serum lipid levels with incident periodontitis in a multicenter study.Clinical oral investigations · 2026Article
- Changes in postoperative pneumonia incidence after the pandemic: a retrospective observational study using a common data model.Anesthesia and pain medicine · 2026Article
- FAIR m-BIDS: Advancing brain data utilization through multimodal and FAIR principles.Scientific data · 2026Article
- Data in Diabetic Foot Care: From Current State to a Management Framework for Implementation.Journal of clinical medicine · 2025Review
- Perceptions and Awareness of Healthcare Professionals Regarding FAIR Data Principles and Health Data Sharing in Saudi Arabia.Healthcare (Basel, Switzerland) · 2025Article
- Attitudes Toward Common Data Models Among Chinese Biomedical Professionals: Cross-Sectional Survey.JMIR medical informatics · 2025Article
- Impact of COVID-19 on disease-specific mortality, healthcare resource utilization, and disease burden across a population over 1 billion in 31 countries: an interrupted time-series analysis.EClinicalMedicine · 2025Article
- Renal and Safety Outcomes of SGLT2 Inhibitors in Patients with Type 2 Diabetes: A Nationwide Observational Cohort Study.Journal of clinical medicine · 2025Article
- Semantic enrichment of Pomeranian health study data using LOINC and WHO-FIC terminology mapping principles.JAMIA open · 2025Article
- Advancing Medical Imaging Research Through Standardization: The Path to Rapid Development, Rigorous Validation, and Robust Reproducibility.Investigative radiology · 2025Review
- Long-term use of proton pump inhibitors was associated with rapid progression to end stage kidney disease in a Korean nationwide study.Scientific reports · 2024Article
- Hospital Length of Stay Prediction for Planned Admissions Using Observational Medical Outcomes Partnership Common Data Model: Retrospective Study.Journal of medical Internet research · 2024Article
- Integrated Real-World Data Warehouses Across 7 Evolving Asian Health Care Systems: Scoping Review.Journal of medical Internet research · 2024Article
- Seamless EMR data access: Integrated governance, digital health and the OMOP-CDM.BMJ health & care informatics · 2024Review
- The Effect of Sodium-Glucose Cotransporter-2 Inhibitors on COVID-19 Patients with Type 2 Diabetes Mellitus: A Retrospective Cohort Study Using the Common Data Model.Journal of clinical medicine · 2024Article
- One-year post-acute COVID-19 syndrome and mortality in South Korea: a nationwide matched cohort study using claims data.Frontiers in public health · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transparent and FAIR disclosure of meta-information about healthcare data and infrastructure is essential but has not been well publicized. In this paper, we provide a transparent disclosure of the process of standardizing a common data model and developing a national data infrastructure using national claims data. We established an Observational Medical Outcome Partnership (OMOP) common data model database for national claims data of the Health Insurance Review and Assessment Service of South Korea. To introduce a data openness policy, we built a distributed data analysis environment and released metadata based on the FAIR principle. A total of 10,098,730,241 claims and 56,579,726 patients' data were converted as OMOP common data model. We also built an analytics environment for distributed research and made the metadata publicly available. Disclosure of this infrastructure to researchers will help to eliminate information inequality and contribute to the generation of high-quality medical evidence.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.