Development of a database of health insurance claims: standardization of disease classifications and anonymous record linkage.
Development of a database of health insurance claims: standardization of disease classifications and anonymous record linkage.
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DOI：
10.2188/jea.je20090066
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发表时间：
2010
影响因子：
4.7
通讯作者：
Nakayama T
中科院分区：
文献类型：
--
作者：
Kimura S;Sato T;Ikeda S;Noda M;Nakayama T
健康保险索赔（即收据）记录患者的医疗保健治疗和费用，虽然是为医疗保健支付系统创建的，但对研究可能有用。将为同一患者生成的不同类型的收据组合在一起将大大增加这些收据的效用。但是，必须解决技术问题，包括疾病名称和分类的标准化以及个人收据的匿名联系。与健康保险协会合作，收集所有收据信息（住院、门诊和药房）。为了标准化疾病名称和分类，我们开发了一种计算机辅助的输入后标准化方法，使用基于国际疾病分类（ICD）-10分类的疾病名称词典。我们还开发了一个匿名链接系统，通过使用从哈希值和流密码的组合生成的加密代码。使用不同的原始数据集（数据集1：保险证书编号，姓名和性别;数据集2：保险证书编号，出生日期和关系状态），我们比较了使用数据集1生成关键代码所获得的成功记录匹配百分比与使用两个数据集时所获得的百分比。该词典对疾病名称的自动转换成功地使输入数据库的约200万张新收据中的98.1%标准化。合并数据集的匿名匹配百分比（98.0%）高于数据集1（88.5%）。采用标准化疾病分类和匿名记录联系大大有助于建立一个按时间顺序排列的大型收据数据库。该数据库预计将有助于使用收据信息进行流行病学和卫生服务研究。
Health insurance claims (ie, receipts) record patient health care treatments and expenses and, although created for the health care payment system, are potentially useful for research. Combining different types of receipts generated for the same patient would dramatically increase the utility of these receipts. However, technical problems, including standardization of disease names and classifications, and anonymous linkage of individual receipts, must be addressed. In collaboration with health insurance societies, all information from receipts (inpatient, outpatient, and pharmacy) was collected. To standardize disease names and classifications, we developed a computer-aided post-entry standardization method using a disease name dictionary based on International Classification of Diseases (ICD)-10 classifications. We also developed an anonymous linkage system by using an encryption code generated from a combination of hash values and stream ciphers. Using different sets of the original data (data set 1: insurance certificate number, name, and sex; data set 2: insurance certificate number, date of birth, and relationship status), we compared the percentage of successful record matches obtained by using data set 1 to generate key codes with the percentage obtained when both data sets were used. The dictionary’s automatic conversion of disease names successfully standardized 98.1% of approximately 2 million new receipts entered into the database. The percentage of anonymous matches was higher for the combined data sets (98.0%) than for data set 1 (88.5%). The use of standardized disease classifications and anonymous record linkage substantially contributed to the construction of a large, chronologically organized database of receipts. This database is expected to aid in epidemiologic and health services research using receipt information.
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DOI：
10.1265/jjh.63.29
发表时间：
2008-01-01
期刊：
Nihon eiseigaku zasshi. Japanese journal of hygiene
影响因子：
--
作者：
Tanihara, Shinichi;Yamagata, Zentaro;Une, Hiroshi
通讯作者：
Une, Hiroshi
影响因子：
7
作者：
Bansal, Vikas;Halpern, Aaron L.;Bafna, Vineet
通讯作者：
Bafna, Vineet
影响因子：
1.9
作者：
Sasaki, T;Togo, H;Ichioka, Y
通讯作者：
Ichioka, Y
DOI：
10.1016/s1386-5056(98)00019-7
发表时间：
1998-03-01
影响因子：
4.9
作者：
Quantin, C;Bouzelat, H;Dusserre, L
通讯作者：
Dusserre, L
影响因子：
3.3
作者：
KOBAYASHI, Y;YANO, E
通讯作者：
YANO, E