Data resource profile: the National Health Information Database of the National Health Insurance Service in South Korea.
Open accessAbstract
The National Health Information Database (NHID) is a public database on health care utilization, health screening, socio-demographic variables, and mortality for the whole population of South Korea, formed by the National Health Insurance Service. The population included in the data is over 50 million, and the participation rate in the health screening programs was 74.8% in 2014. The NHID covers data between 2002 and 2014. Those insured by NHI pay insurance contributions and receive medical services from their health care providers. The NHIS, as the single insurer, pays costs based on the billing records of health care providers (Figure 1). To govern and carry out these processes in the NHI, the NHIS built a data warehouse to collect the required information on insurance eligibility, insurance contributions, medical history, and medical institutions. In 2012, the NHIS formed the NHID using information from medical treatment and health screening records and eligibility data from an existing database system. The governance of the National Health Insurance of South Korea. The eligibility database includes information about income-based insurance contributions, demographic variables, and date of death. The national health screening database includes information on health behaviors and bio-clinical variables. The health care utilization database includes information on records on inpatient and outpatient usage (diagnosis, length of stay, treatment costs, services received) and prescription records (drug code, days prescribed, daily dosage). The long-term care insurance database includes information about activities of daily living and service grades. The health care provider database includes data about the types of institutions, human resources, and equipment. In the NHID, de-identified join keys replacing the personal identifiers are used to interlink these databases. Papers published covered various diseases or health conditions like infectious diseases, cancer, cardiovascular diseases, hypertension, diabetes mellitus, and injuries and risk factors such as smoking, alcohol consumption, and obesity. The impacts of health care and public health policies on health care utilization have been also explored since the data include all the necessary information reflecting patterns of health care utilization. First, information on diagnosis and disease may not be optimal for identifying disease occurrence and prevalence since the data have been collected for medical service claims and reimbursement. However, the NHID also collects prescription data with secondary diagnosis, so the accuracy of the disease information can be improved. Second, the data linkage with other secondary national data is not widely available due to privacy issues in Korea. Governmental discussions on the statutory reform of data linkage using the NHID are under way. Access to the NHID can be obtained through the Health Insurance Data Service home page (http://nhiss.nhis.or.kr). An ethics approval from the researchers’ institutional review board is required with submission of a study proposal, which is reviewed by the NHIS review committee before providing data. Further inquiries on data use can be obtained by contacting the corresponding author. This work was supported by the NHIS in South Korea. The authors declare no competing interests.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The NHIS database has been used in epidemiological studies and its validity has been described in detail elsewhere.
“The NHIS database has been used in epidemiology studies, and its validity has been described in detail elsewhere.”
From Association of L-α Glycerylphosphorylcholine With Subsequent Stroke Risk After 10 Years (2021) · cites this paper as [17]
The Data resource use section (p. 1) says published studies have used the NHID to examine diseases, risk factors, and health policies. The Reasons to be cautious section (p. 2) discusses limitations of diagnostic information, but our copy does not say that the database’s validity has been described in detail elsewhere. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Cohort Profile: The National Health Insurance Service–National Sample Cohort (NHIS-NSC), South Korea
Lee, J., Lee, J. S., Park, S.-H., Shin, S., & Kim, K. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyv319 · Cited by 1,484 · see citing works
Seong, S. C., Kim, Y.-Y., Park, S. K., Khang, Y., Kim, H. C., Park, J. H., Kang, H. J., Do, C.-H., Song, J.-S., Lee, E. J., et al. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-016640 · Cited by 836 · see citing works
Self-citationNationwide Cancer Incidence in Korea, 2003-2005
Won, Y., Sung, J., Jung, K., et al. (2009) · Cancer Research and Treatment · doi:10.4143/crt.2009.41.3.122 · Cited by 138 · see citing works
Yi, S., Ohrr, H., Shin, S., & Yi, J. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv138 · Cited by 120 · see citing works
Retinal Vein Occlusion and the Risk of Stroke Development
Rim, T. H., Kim, D. W., Han, J. S., et al. (2015) · Ophthalmology · doi:10.1016/j.ophtha.2015.01.020 · Cited by 93 · see citing works
Kim, H., Kwon, S., Yoon, N., & Hyun, K. (2013) · Health Policy · doi:10.1016/j.healthpol.2013.04.009 · Cited by 75 · see citing works
Kim, T.-Y., Jang, S., Park, C. M., Lee, A., Lee, Y., Kim, H. Y., Cho, E.-H., & Ha, Y. (2016) · Journal of Korean Medical Science · doi:10.3346/jkms.2016.31.5.801 · Cited by 59 · see citing works
Khang, Y., Bahk, J., Yi, N., & Yun, S. (2015) · European Journal of Public Health · doi:10.1093/eurpub/ckv128 · Cited by 38 · see citing works
Self-citationKim, S., & Kwon, S. (2014) · Health Policy · doi:10.1016/j.healthpol.2014.10.005 · Cited by 31 · see citing works
Rim, T. H., Yoon, C.-Y., Park, H. W., et al. (2016) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.15-18276 · Cited by 21 · see citing works
Kim, J., Jo, Y.-S., Park, E., et al. (2012) · Asia Pacific Journal of Public Health · doi:10.1177/1010539512466569 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Zhou, B., Danaei, G., Stevens, G. A., Bixby, H., Taddei, C., Carrillo-Larco, R. M., Solomon, B., Riley, L. M., Di Cesare, M., Iurilli, M. L. C., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31145-6 · Cited by 544 · see citing works
Self-citationSon, J. S., Choi, S., Kim, K., Kim, S. M., Choi, D., Lee, G., Jeong, S.-M., Park, S. Y., Kim, Y.-Y., Yun, J.-M., et al. (2018) · JAMA · doi:10.1001/jama.2018.16501 · Cited by 225 · see citing works
Self-citationLee, Y.-B., Han, K., Kim, B., Lee, S.-E., Jun, J. E., Ahn, J., Kim, G., Jin, S.-M., & Kim, J. H. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0953-7 · Cited by 131 · see citing works
Effect of smoking cessation on the risk of dementia: a longitudinal study
Choi, D., Choi, S., & Park, S. M. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.633 · Cited by 134 · see citing works
Bea, S., Son, H., Bae, J. H., Cho, S. W., Shin, J., & Cho, Y. M. (2024) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.15292 · Cited by 64 · see citing works
Chun, H. S., Lee, M., Lee, H. A., Oh, S. Y., Baek, H. J., Moon, J. W., Kim, Y. J., Lee, J., Kim, H., Kim, H. Y., et al. (2023) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.12.043 · Cited by 60 · see citing works
Self-citationAssociation of L-α Glycerylphosphorylcholine With Subsequent Stroke Risk After 10 Years
Lee, G., Choi, S., Chang, J., Choi, D., Son, J. S., Kim, K., Kim, S. M., Jeong, S., & Park, S. M. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.36008 · Cited by 37 · see citing works
Bone Mineral Density and the Risk of Parkinson's Disease in Postmenopausal Women
Park, K., Jung, J., Hwang, H., Park, H., Han, K., & Nam, G. E. (2023) · Movement Disorders · doi:10.1002/mds.29579 · Cited by 15 · see citing works
Kim, Y., Park, S., Kim, M.-H., Song, S. H., Lee, W. M., Kim, H. S., Jin, K., Han, S., Kim, Y. C., Han, S. S., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0227694 · Cited by 12 · see citing works
Self-citation
- Authors
- Cheol Seong, S., Kim, Y.-Y., Khang, Y.-H., Heon Park, J., Kang, H.-J., Lee, H., Do, C.-H., Song, J.-S., Hyon Bang, J., Ha, S., Lee, E.-J., & Ae Shin, S.
- Affiliations
- National Health Insurance Service (KR)
- Seoul National University (KR)
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-10-29
- Volume
- 46
- Issue
- 3
- Pages
- dyw253
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC5837262
- OpenAlex
- W2544991555
- Cited by
- 1,277
- References
- 11
- Citations by year
- 2026: 58 · 2025: 156 · 2024: 203 · 2023: 181 · 2022: 172 · 2021: 184 · 2020: 172 · 2019: 88 · 2018: 42 · 2017: 18
- FWCI
- 83.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- International Journal of Epidemiology (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Funders
- Seoul National University Bundang Hospital
- Seoul National University
- National Health Insurance Service
- Topics
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Keywords
- National Health Insurance Service, health care utilization, health screening, mortality, long-term care insurance, data linkage, de-identification, health policy evaluation, South Korea, data governance, data privacy, disease prevalence, health behavior, socioeconomic status, insurance eligibility, health care costs, length of hospital stay, data warehouse
- MeSH terms
- Humans, Insurance, Health, National Health Programs, Databases, Factual, Republic of Korea
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review