Cited by 1,277Medical Coding and Health InformationElectronic Health Records SystemsHealthcare Policy and Management

Data resource profile: the National Health Information Database of the National Health Insurance Service in South Korea.

Open access
Cheol Seong, Sang, Kim, Yeon-Yong, Khang, Young-Ho, Heon Park, Jong, Kang, Hee-Jin, Lee, Heeyoung, Do, Cheol-Ho, Song, Jong-Sun +4 more·2016·International Journal of Epidemiology

Abstract

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.

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  • 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)

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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
Published
2016-10-29
Volume
46
Issue
3
Pages
dyw253
ISSN
  • 0300-5771 (ISSN-L)
  • 1464-3685
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
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

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