Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
The Korean National Health Information Database (NHID) contains big data combining information obtained from the National Health Insurance Service and health examinations. Data are provided in the form of a cohort, and the NHID can be used to conduct longitudinal studies and research on rare disease...
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Format: | Article |
Language: | English |
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Korean Endocrine Society
2023-02-01
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Series: | Endocrinology and Metabolism |
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Online Access: | http://www.e-enm.org/upload/pdf/enm-2023-102.pdf |
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author | Sun Wook Cho Jung Hee Kim Han Seok Choi Hwa Young Ahn Mee Kyoung Kim Eun Jung Rhee |
author_facet | Sun Wook Cho Jung Hee Kim Han Seok Choi Hwa Young Ahn Mee Kyoung Kim Eun Jung Rhee |
author_sort | Sun Wook Cho |
collection | DOAJ |
description | The Korean National Health Information Database (NHID) contains big data combining information obtained from the National Health Insurance Service and health examinations. Data are provided in the form of a cohort, and the NHID can be used to conduct longitudinal studies and research on rare diseases. Moreover, data on the cause and date of death are provided by Statistics Korea. Research and publications based on the NHID have increased explosively in the field of endocrine disorders. However, because the data were not collected for research purposes, studies using the NHID have limitations, particularly the need for the operational definition of diseases. In this review, we describe the characteristics of the Korean NHID, operational definitions of endocrine diseases used for research, and an overview of recent studies in endocrinology using the Korean NHID. |
first_indexed | 2024-04-10T05:20:28Z |
format | Article |
id | doaj.art-960620c32477417bafd3b2d87f598578 |
institution | Directory Open Access Journal |
issn | 2093-596X 2093-5978 |
language | English |
last_indexed | 2024-04-10T05:20:28Z |
publishDate | 2023-02-01 |
publisher | Korean Endocrine Society |
record_format | Article |
series | Endocrinology and Metabolism |
spelling | doaj.art-960620c32477417bafd3b2d87f5985782023-03-08T07:43:19ZengKorean Endocrine SocietyEndocrinology and Metabolism2093-596X2093-59782023-02-01381102410.3803/EnM.2023.1022368Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information DatabaseSun Wook Cho0Jung Hee Kim1Han Seok Choi2Hwa Young Ahn3Mee Kyoung Kim4Eun Jung Rhee5 Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea Division of Endocrinology and Metabolism, Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Korea Department of Endocrinology and Metabolism, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, KoreaThe Korean National Health Information Database (NHID) contains big data combining information obtained from the National Health Insurance Service and health examinations. Data are provided in the form of a cohort, and the NHID can be used to conduct longitudinal studies and research on rare diseases. Moreover, data on the cause and date of death are provided by Statistics Korea. Research and publications based on the NHID have increased explosively in the field of endocrine disorders. However, because the data were not collected for research purposes, studies using the NHID have limitations, particularly the need for the operational definition of diseases. In this review, we describe the characteristics of the Korean NHID, operational definitions of endocrine diseases used for research, and an overview of recent studies in endocrinology using the Korean NHID.http://www.e-enm.org/upload/pdf/enm-2023-102.pdfdatabases, factualendocrine system diseasesthyroid diseasesobesityosteoporosisrepublic of korea |
spellingShingle | Sun Wook Cho Jung Hee Kim Han Seok Choi Hwa Young Ahn Mee Kyoung Kim Eun Jung Rhee Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database Endocrinology and Metabolism databases, factual endocrine system diseases thyroid diseases obesity osteoporosis republic of korea |
title | Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database |
title_full | Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database |
title_fullStr | Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database |
title_full_unstemmed | Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database |
title_short | Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database |
title_sort | big data research in the field of endocrine diseases using the korean national health information database |
topic | databases, factual endocrine system diseases thyroid diseases obesity osteoporosis republic of korea |
url | http://www.e-enm.org/upload/pdf/enm-2023-102.pdf |
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