Efficient private record linkage software

We provide efficient techniques for private record linkage that improve on previous work in that 1 our techniques make no use of a third party, and 2 they achieve much better performance than previous schemes in terms of their execution time while maintaining acceptable quality of output compared to nonprivacy settings. Prl is desirable in various domains, including health care, where it may. Previous private record linkage techniques have made use of a. Methods in the computer science literature, private record linkage is the most. Peter vamplew, andrew stranieri, kl ong, peter christen and paul j. Existing record linkage methods do not handle missing linking field values in an. Efficient and practical approach for private record linkage m yakout, mj atallah, a elmagarmid journal of data and information quality jdiq 3 3, 128, 2012.

The program information notice pin, introduced on march 22, 2012 by onc, outlines privacy and security framework requirements and guidance for establishing robust privacy and security policies and practices for exchanging health information. Due to privacy concerns, there is an increasing pressure to use encrypted identi. This technology not only reduces storage and investment costs but also ensures efficient data transfer across the wan to remote sites and the cloud. Data matching software tool with 96% match accuracy.

Costaware load balancing for multilingual record linkage. Privacy preserving probabilistic record linkage p3rl. Pdf probabilistic record linkage prl refers to the process of. Perhaps more importantly, rct results often cannot be generalized due to a lack of inclusion of realworld combinations of interventions and heterogeneous patients. Reasons for using only a single bloom filter for linkage include legal constraints in some jurisdictions and attempts at improving the privacy of the data 19, 20. An empirical comparison of record linkage procedures. In our working paper, we described the application of multibit trees for record linkage in general by transforming all identi. An overview of record linkage methods linking data for. The past, present and future of the german record linkage. The second, lampld uses a twolevel hidden markov model to model within population linkage disequilibrium allowing the methods to infer local ancestry using dense genomewide genotype data.

Efficient private multiparty numerical records matching. American medical informatics association annual symposium 2014. Chapter 3 record linkage big data and social science. Concepts and techniques for record linkage, entity resolution, and duplicate detection. In such cases, the problem of carrying out the linkage computation without full data exchange has been called private record linkage. Dr dinusha vatsalan research school of computer science. Private record linkage prl is a variant of the task in which data holders wish to perform linkage without revealing identi ers associated with the records. Our software implementation provides experimental validation of our approach and the above. These workshops covered a broad range of topics like the prototypical record linkage process, preprocessing, blocking, comparison, classification, privacy preserving record linkage and software options. Each linkage point links one or more pairs of data records. Privacypreserving record linkage using bloom filters pdf. On the theoretical front, there have been ongoing efforts to develop pprl algorithms since 2003. Efficient private record linkage of very large datasets. Either a unique personal identifier, like social security number, is not available or nonunique person identifiable information, like names, are privacy protected and cannot be accessed.

We provide efficient techniques for private record linkage that improve on previous work. Previous private record linkage techniques have made use of a third party. These limitations can be overcome by linking data from multiple sources such as. The process of identifying which records in two or more databases correspond to the same entity is an important aspect of data quality activities such as data preprocessing and data integration.

Separating differentially private synopses from matching records. The problem of finding records that represent the same individual in separate databases without revealing the identity of the individuals is called privacypreserving record linkage 2, blind data linkage 3, or private record linkage 4. The link king has fashioned a powerful alliance between sophisticated probabilistic record linkage and deterministic record linkage protocols incorporating features unavailable in many proprietary record linkage. A secure open enterprise master patient index software toolkit for private record linkage. Objective record linkage to integrate uncoordinated databases is critical in biomedical research using big data. Record linkage is a classification problem that predicts if a record pair belongs to a class of matches ie, same patient or nonmatches. Private record linkage prl is a variant of the task in which data. Frequent grams based embedding for privacy preserving record linkage. Some variants boost the weight given to agreement in the first few characters of the strings being compared.

Record linkage techniques the national academies press. However, for data to be used to their full power, data security and privacy are critical. Data linkage, also called record linkage, is the process of combining records about the same individual or entity from two or more different data sources winkler, 2006. Private medical record linkage with approximate matching. It will be necessary to extend bfes in a more principled approach by evaluation of the impact of the attack on record linkage accuracy. Therefore, to increase the accuracy of the statistical analysis of a distributed dataset, secure deduplication is an important preprocessing step.

Secure and scalable deduplication of horizontally partitioned. All you want to know about record linking and record matching. Reuse of individual healthrelated data faces several problems. Privacy preserving interactive record linkage ppirl. We also synthesize the literature to propose a new framework, privacy preserving interactive record linkage ppirl, for data integration with tractable privacy and utility properties. Efficient private record linkage ieee conference publication. Each data record in the pair of data records is contained in one of a given pair of datasets, and each pair of data records is associated with a common entity having matching attributes in the given pair of datasets. However, record linkage and the creation of commercially financed centralized databases the book of icelanders and the health service database by the american venture capital financed company decode together with frisk software led to controversy about the role attributed to private companies by state legislation. All software and papers coauthored by members of the grlc are available for download. Data61 has developed a suite of technologies known as anonlink, that allows two organisations to carry out private record linkage finding matching records of entities between their respective datasets without disclosing personally identifiable information. Efficient and practical approach for private record linkage. Alternate methods of privacypreserving record linkage using bloom filters have been developed, with a single bloom filter composed from many identifiers. Recent surveys have evaluated some of the existing record linkage frameworks, different blocking mechanisms, and different mechanisms for load balancing this process.

An overview of record linkage methods linking data for health. Data security and privacy have been widely investigated over the past thirty years. Our software implementation provides experimental validation of our. The approximate prl protocol extends the exact prl protocol by incorporating locality sensitive hash functions. Durham, murat kantarcioglu, yuan xue, bradley malin, soempi. Data matching, also known as record linkage, is a data management process that allows you to accurately identify, match, merge and duplicate records across disparate data sources for the availability of complete and uptodate across the enterprise. Software and services for probabilistic record linkage and. A taxonomy of privacypreserving record linkage techniques. A practical approach to achieve private medical record. The record linkage software provides patented datalength deduplication technology with variable length. Because of its history in record linkage applications, there are some standard variants of jarowinkler distance that may be implemented in record linkage software. Record linkage is the task of identifying records from multiple data sources that refer to the same individual. Randomized controlled trials rcts remain the gold standard for assessing intervention efficacy.

Private record linkage prl is a variant of the task in. Record linkage of existing individual health care data is an efficient way to answer important epidemiological research questions. Members of the grlc have conducted several training workshops on methods of record linkage, both in germany and different international contexts. Nov 07, 20 in summary, private record linkage involves two private parties who are trying to share minimum information with each other and assumes that the matching function between the tables is known. The first model, implemented in a program called lamp, uses a bayesian hidden markov model with an efficient initialization based on spectral clustering. The goal of private record linkage is to compute the set of linked records and then output them to the two private parties without revealing anything about the nonlinked records 7, 18. Bfe is a promising approach for private medical record linkage, but this investigation confirms that bfes may leave identifiers vulnerable to compromise via public resources. Private matching between datasets owned by distinct parties is a. Many data manipulation techniques are available in commonly used software. While the process can be difficult to navigate, many effective strategies have. Efficient private record linkage by mohamed yakout. The goal is to apply the known matching function in a secure manner.

Improving record linkage performance in the presence of missing. A toolbox for fast privacypreserving matching vldb. Pdf privacy preserving interactive record linkage ppirl. We consider the problem of record linkage in the situation where we have only non. May 30, 2015 record linkage of existing individual health care data is an efficient way to answer important epidemiological research questions. Efficient private record linkage mohamed yakout, mikhail j. Balancing privacy protection against the need for high quality record linkage requires a humanmachine hybrid system to safely manage uncertainty in the ever changing streams of chaotic big data.

However, duplicate records in a distributed dataset may lead to incorrect statistical results. Recent technologies, such as iot, social networks, cloud computing, and data analytics, make today possible to collect huge amounts of data. In this paper, we present an exact private record linkage prl protocol and an approximate prl protocol. The site contains about 50 pages of information in english on recordlinkage methodology in general, on privacy preserving recordlinkage, recordlinkage projects in germany and recordlinkage software. May 07, 20 in addition, linkage points between pairs of datasets are identified. In the realm of public domain software for record linkage and unduplication aka. Pdf comparison of publicdomain software and services for.

Techniques have been developed to compute statistics on distributed datasets without revealing private information except the statistical results. Efficient private record linkage by mohamed yakout, mikhail. Record linkage process can be divided into the following steps. The exact prl protocol is based on oblivious bloom intersection, which is an efficient private set intersection protocol. Us patent for methods and systems for discovery of linkage. The output value is normalized to fall between 0 and 1. Record linkage, as a major domain of substantive and technical interest, came about in the 1960s at the confluence of four closely interrelated developments first, the postwar evolution of the welfare state and taxation system resulted in the development of large files about individuals and businesses opportunity. For such situations much work on probabilistic methods of record linkage can be found in the statistical literature. Pdf record linkage is a task of identifying data from large datasets.

649 698 631 886 517 800 1591 111 246 281 796 887 1515 312 116 1144 198 171 1414 1086 1385 904 1158 1459 1334 942 131 1015 786 1535 1235 1224 1247 1574 61 1351 405 1105 589 1331 543 1165 1006 724