Research Paper: Record Linkage of Health Care Insurance Claims

T. Victor, R. Mera
{"title":"Research Paper: Record Linkage of Health Care Insurance Claims","authors":"T. Victor, R. Mera","doi":"10.1136/jamia.2001.0080281","DOIUrl":null,"url":null,"abstract":"Objective: This paper provides a detailed description of a method developed for purposes of linking records of individual patients, represented in diverse data sets, across time and geography.\n\nDesign: The procedure for record linkage has three major components—data standardization, weight estimation, and matching. The proposed method was designed to incorporate a combination of exact and probabilistic matching techniques.\n\nMeasurements: The procedure was validated using convergent, divergent, and criterion validity measures.\n\nResults: The output of the process achieved a sensitivity of 92 percent and a specificity that approached 100 percent.\n\nConclusions: The procedure is a first step in addressing the current trend toward larger and more complex databases.","PeriodicalId":344533,"journal":{"name":"J. Am. Medical Informatics Assoc.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Am. Medical Informatics Assoc.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/jamia.2001.0080281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

Objective: This paper provides a detailed description of a method developed for purposes of linking records of individual patients, represented in diverse data sets, across time and geography. Design: The procedure for record linkage has three major components—data standardization, weight estimation, and matching. The proposed method was designed to incorporate a combination of exact and probabilistic matching techniques. Measurements: The procedure was validated using convergent, divergent, and criterion validity measures. Results: The output of the process achieved a sensitivity of 92 percent and a specificity that approached 100 percent. Conclusions: The procedure is a first step in addressing the current trend toward larger and more complex databases.
研究论文:医疗保险索赔的记录联动
目的:本文提供了一种方法的详细描述,用于连接个体患者的记录,在不同的数据集中,跨越时间和地理。设计:记录联动的流程主要有三个部分:数据标准化、权重估计和匹配。该方法结合了精确匹配技术和概率匹配技术。测量:使用收敛、发散和标准效度测量验证该程序。结果:该方法的灵敏度为92%,特异性接近100%。结论:该程序是解决当前趋向于更大更复杂数据库的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信