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Nationwide Big Data Studies of Endocrine Diseases Using the Korean National Health Information Database: Research Trends and Standardization of Operational Definitions

  • Sun Wook Cho
  • , Jung Hee Kim
  • , Kyoung Jin Kim
  • , Beom Jun Kim
  • , Mee Kyoung Kim
  • , Eun Jung Rhee
  • Seoul National University
  • Korea University
  • University of Ulsan
  • Kangbuk Samsung Hospital

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The Korean National Health Information Database (NHID) is a large-scale dataset created through linkage of National Health Insurance claims with nationwide health screening records. Because it is released in a cohort-based format, the NHID enables longitudinal follow-up and allows investigation of rare endocrine conditions with low population prevalence. Mortality data, including both dates and causes of death, are additionally obtained through linkage with Statistics Korea. Over recent years, use of the NHID has expanded rapidly, establishing it as a major resource for epidemiological research in endocrinology. Nevertheless, because the database was originally developed for administrative and screening purposes rather than for research, investigators face several methodological limitations, particularly the need to construct and validate robust operational definitions of diseases. In this review, we describe the key features of the Korean NHID, summarize operational definitions of endocrine disorders that have been applied in prior research, and provide an overview of recent endocrine studies conducted using this database.

Original languageEnglish
Pages (from-to)86-104
Number of pages19
JournalEndocrinology and Metabolism
Volume41
Issue number1
DOIs
StatePublished - Feb 2026

Bibliographical note

Publisher Copyright:
© 2026 Korean Endocrine Society.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Databases
  • Diabetes mellitus
  • Endocrine system diseases
  • Obesity
  • Osteoporosis
  • Thyroid diseases

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