{"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.