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引入使用国民健康保险服务数据的大数据分析。

Introducing big data analysis using data from National Health Insurance Service.

机构信息

Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, Korea.

出版信息

Korean J Anesthesiol. 2020 Jun;73(3):205-211. doi: 10.4097/kja.20129. Epub 2020 May 13.

DOI:10.4097/kja.20129
PMID:32506896
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7280883/
Abstract

Among the different providers of health care big data in Korea, the data provided by the National Health Insurance Database include the medical information of all the citizens who have subscribed to medical insurance. As such, the data have representativeness and completeness. In order to conduct research using these National Health Insurance Database data, it is necessary to understand the characteristics of the claim data to avoid various biases, and to control confounding variables when making various operational definitions in the planning stage of the research. Moreover, without a proper understanding of the big data, it is possible during the analysis and data interpretation to mistakenly interpret the correlation between variables as a causal relationship. Therefore, in order to help advanced medical science, which reflects the medical reality such as medical expenses and number of hospital visits by clearly recognizing and analyzing the characteristics and limitations of health care big data, this author has dealt with the use of data sharing services provided by the National Health Insurance Database.

摘要

在韩国的医疗大数据提供方中,国民健康保险数据库提供的数据包括了所有参保民众的医疗信息,因此具有代表性和完整性。在使用这些国民健康保险数据库数据进行研究时,需要了解理赔数据的特征,避免各种偏倚,并在研究规划阶段对各种操作定义进行混杂因素控制。此外,如果没有正确理解大数据,在分析和数据解释过程中,可能会错误地将变量之间的相关性解释为因果关系。因此,为了帮助先进的医学科学,即通过清晰地认识和分析医疗大数据的特点和局限性来反映医疗费用和就诊次数等医疗现实,本文作者处理了国民健康保险数据库提供的数据共享服务的使用。

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