ArticleKorean journal of anesthesiology2020
Introducing big data analysis using data from National Health Insurance Service.
Article in Korean journal of anesthesiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cataloging Existing Hearing Loss Cohort Data to Guide the Development of Precision Medicine for Sensorineural Hearing Loss: A Systematic Review of Hearing Repositories.The journal of international advanced otology · 2023Pooled it
- Sociodemographic determinants and comorbidities associated with polypharmacy among the adult population in Korea: a nationwide claim analysis.Korean journal of family medicine · 2026Article
- Evaluating TabPFN: a transformer-based foundation model for explainable health insurance claim prediction.Frontiers in public health · 2026Article
- Effects of Osteoporosis Medication Use on Reprocedure Rates Following Vertebral Augmentation: A Nationwide Cohort Study.Clinics in orthopedic surgery · 2025Article
- Association between body-mass index change and lung cancer risk in Korea: nested case-control study.BMC cancer · 2025Observational
- Artificial intelligence applications in health insurances: a scoping review.Cost effectiveness and resource allocation : C/E · 2025Review
- Potentially Inappropriate Medication Use in Patients With Parkinson's Disease: Analysis of Korean National Health Insurance Claims Data.Journal of clinical neurology (Seoul, Korea) · 2025Article
- Effectiveness of the Korean National Cancer Screening Program in Reducing Colorectal Cancer Mortality.Cancers · 2024Article
- Trends in commonly used and potentially inappropriate medications in older Korean patients with polypharmacy.BMC geriatrics · 2024Article
- Impact of the COVID-19 pandemic on mortality and loss to follow-up among patients with dementia receiving anti-dementia medications.Scientific reports · 2024Article
- Article
- Clinical outcomes of fluoroquinolones combination therapy in patients with hospital-acquired pneumonia: a retrospective cohort study using national health insurance claims data in Korea.Journal of thoracic disease · 2023Article
- The application of artificial intelligence in health financing: a scoping review.Cost effectiveness and resource allocation : C/E · 2023Article
- Atopic Dermatitis and the Risk of Myocardial Infarction and All-Cause Mortality: A Nationwide Population-Based Cohort Study.Allergy, asthma & immunology research · 2023Article
- Comparison of Cefepime with Piperacillin/Tazobactam Treatment in Patients with Hospital-Acquired Pneumonia.Antibiotics (Basel, Switzerland) · 2023Article
- Epidemiology of Second Non-breast Primary Cancers among Survivors of Breast Cancer: A Korean Population-Based Study by the SMARTSHIP Group.Cancer research and treatment · 2023Article
- The Clinical Researcher Journey in the Artificial Intelligence Era: The PAC-MAN's Challenge.Healthcare (Basel, Switzerland) · 2023Article
- Article
- Risks of Leukemia in Various Industrial Groups in Korea: A Retrospective National Cohort Study.International journal of environmental research and public health · 2023Article
- The MSH2 c.793-1G>A variant disrupts normal splicing and is associated with Lynch syndrome.Frontiers in oncology · 2023Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Among the different providers of health care big data in Korea, the data provided by the National Health Insurance Database include the medical information of all the citizens who have subscribed to medical insurance. As such, the data have representativeness and completeness. In order to conduct research using these National Health Insurance Database data, it is necessary to understand the characteristics of the claim data to avoid various biases, and to control confounding variables when making various operational definitions in the planning stage of the research. Moreover, without a proper understanding of the big data, it is possible during the analysis and data interpretation to mistakenly interpret the correlation between variables as a causal relationship. Therefore, in order to help advanced medical science, which reflects the medical reality such as medical expenses and number of hospital visits by clearly recognizing and analyzing the characteristics and limitations of health care big data, this author has dealt with the use of data sharing services provided by the National Health Insurance Database.
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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.