Evidence map›Paper›PMID 40034096›Full record

ReviewJournal of Korean medical science2025

Leveraging National Health Insurance Service Data for Public Health Research in Korea: Structure, Applications, and Future Directions.

Seung-Ji Lim, Sung-In Jang

Abstract readReview
In one paragraph

Review in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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  19. Measuring Trends in Disability-adjusted Life Years and Life Expectancy in Korea: 2008 to 2021.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Seung-Ji LimHealth Insurance Research Institute, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0001-5954-9629
Sung-In JangHealth Insurance Research Institute, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0002-0760-2878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Health Insurance Service (NHIS) database serves as a crucial resource for public health research in Korea. As a comprehensive dataset within the single-payer healthcare system, NHIS data provides longitudinal insights into healthcare utilization, disease prevalence, and health outcomes. This review article explores the structure, characteristics, and applications of NHIS data, emphasizing its role in epidemiological studies, health policy evaluations, and clinical research. We discuss key methodological considerations, including data access procedures, outcome measures, and strategies to mitigate bias. Additionally, we highlight future directions, such as integrating NHIS data with other national health datasets and utilizing artificial intelligence for predictive analytics. By leveraging the NHIS database, researchers can enhance evidence-based policymaking and improve public health outcomes in Korea.

Indexed as

National Health ProgramsPublic HealthArtificial IntelligenceDatabases, FactualHealth PolicyHumansRepublic of KoreaBig DataEpidemiologyHealthcare UtilizationHealth PolicyNational Health Insurance ServicePublic Health Research

Identifiers

PMID40034096
PMCPMC11876782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.