| Big Data in Internal Medicine: Sources and Challenges |
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Se Young Jang1 |
1Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea
2Division of Gastroenterology and Hepatology, Department of Internal Medicine, Kyungpook National University Hospital, Daegu, Korea |
| 내과에서의 빅데이터: 자료원과 도전 과제 |
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장세영1 |
1경북대학교 의과대학 내과학교실
2경북대학교병원 소화기내과 |
Correspondence:
Se Young Jang, Tel: +82-53-200-5505, Fax: +82-53-426-2046, Email: vocjsy@knu.ac.kr
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Received: 30 March 2026 • Revised: 29 June 2026 • Accepted: 6 July 2026 |
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| Abstract |
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Big data has become an important research resource in internal medicine. Major data sources in Korea include national claims databases, health screening records, registry data, mortality statistics, survey data, hospital electronic health records, and emerging biobig data resources. These datasets provide new opportunities for disease surveillance, outcome prediction, and evaluation of real-world practice across a wide range of chronic diseases. Nevertheless, large-scale data do not guarantee valid evidence. Diagnostic misclassification, limited clinical details, incomplete medication information, residual confounding, and difficulties in data linkage and standardization remain major challenges. Therefore, the value of big data in internal medicine depends not only on data volume but also on data quality, appropriate linkage, validated definitions, and rigorous study design. Big data should be recognized as a complementary tool that can strengthen, but not replace, clinical reasoning and conventional clinical research. |
| Key Words:
Big data; Internal medicine; Insurance, health; Routinely collected health data; Observational study |
| 주제어:
빅데이터; 내과학; 건강보험; 일상적으로 수집되는 보건의료 자료; 관찰 연구 |
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