Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database
The Korean National Health Information Database (NHID), which contains nationwide real-world claims data including sociodemographic data, health care utilization data, health screening data, and healthcare provider information, is a powerful resource to test various hypotheses. It is also longitudin...
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| Format: | Article |
| Language: | English |
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Korean Diabetes Association
2025-01-01
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| Series: | Diabetes & Metabolism Journal |
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| Online Access: | http://e-dmj.org/upload/pdf/dmj-2024-0780.pdf |
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| _version_ | 1841527851217584128 |
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| author | Kyung-Soo Kim Bongseong Kim Kyungdo Han |
| author_facet | Kyung-Soo Kim Bongseong Kim Kyungdo Han |
| author_sort | Kyung-Soo Kim |
| collection | DOAJ |
| description | The Korean National Health Information Database (NHID), which contains nationwide real-world claims data including sociodemographic data, health care utilization data, health screening data, and healthcare provider information, is a powerful resource to test various hypotheses. It is also longitudinal in nature due to the recommended health checkup every 2 years and is appropriate for long-term follow-up study as well as evaluating the relationships between health outcomes and changes in parameters such as lifestyle factors, anthropometric measurements, and laboratory results. However, because these data are not collected for research purposes, precise operational definitions of diseases are required to facilitate big data analysis using the Korean NHID. In this review, we describe the characteristics of the Korean NHID, operational definitions of diseases used for research related to diabetes, and introduce representative research for diabetes-related diseases using the Korean NHID. |
| format | Article |
| id | doaj-art-bb17eac731e54f70a784e6e02f0b13f3 |
| institution | Kabale University |
| issn | 2233-6079 2233-6087 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Korean Diabetes Association |
| record_format | Article |
| series | Diabetes & Metabolism Journal |
| spelling | doaj-art-bb17eac731e54f70a784e6e02f0b13f32025-01-15T07:46:18ZengKorean Diabetes AssociationDiabetes & Metabolism Journal2233-60792233-60872025-01-01491132110.4093/dmj.2024.07802907Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information DatabaseKyung-Soo Kim0Bongseong Kim1Kyungdo Han2 Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea Department of Statistics and Actuarial Science, Soongsil University, Seoul, KoreaThe Korean National Health Information Database (NHID), which contains nationwide real-world claims data including sociodemographic data, health care utilization data, health screening data, and healthcare provider information, is a powerful resource to test various hypotheses. It is also longitudinal in nature due to the recommended health checkup every 2 years and is appropriate for long-term follow-up study as well as evaluating the relationships between health outcomes and changes in parameters such as lifestyle factors, anthropometric measurements, and laboratory results. However, because these data are not collected for research purposes, precise operational definitions of diseases are required to facilitate big data analysis using the Korean NHID. In this review, we describe the characteristics of the Korean NHID, operational definitions of diseases used for research related to diabetes, and introduce representative research for diabetes-related diseases using the Korean NHID.http://e-dmj.org/upload/pdf/dmj-2024-0780.pdfbig datadatabasediabetes mellituskoreametabolismresearch |
| spellingShingle | Kyung-Soo Kim Bongseong Kim Kyungdo Han Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database Diabetes & Metabolism Journal big data database diabetes mellitus korea metabolism research |
| title | Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database |
| title_full | Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database |
| title_fullStr | Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database |
| title_full_unstemmed | Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database |
| title_short | Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database |
| title_sort | big data research for diabetes related diseases using the korean national health information database |
| topic | big data database diabetes mellitus korea metabolism research |
| url | http://e-dmj.org/upload/pdf/dmj-2024-0780.pdf |
| work_keys_str_mv | AT kyungsookim bigdataresearchfordiabetesrelateddiseasesusingthekoreannationalhealthinformationdatabase AT bongseongkim bigdataresearchfordiabetesrelateddiseasesusingthekoreannationalhealthinformationdatabase AT kyungdohan bigdataresearchfordiabetesrelateddiseasesusingthekoreannationalhealthinformationdatabase |