Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Combining Different Privacy-Preserving Record Linkage Methods for Hospital Admission Data

    Access Status
    Fulltext not available
    Authors
    Stausberg, J.
    Waldenburger, A.
    Borgs, Christian
    Schnell, Rainer
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Stausberg, J. and Waldenburger, A. and Borgs, C. and Schnell, R. 2017. Combining Different Privacy-Preserving Record Linkage Methods for Hospital Admission Data. Studies in Health Technology and Informatics. 235: pp. 161-165.
    Source Title
    Studies in Health Technology and Informatics
    DOI
    10.3233/978-1-61499-753-5-161
    ISBN
    9781614997528
    School
    Centre for Population Health Research
    URI
    http://hdl.handle.net/20.500.11937/71119
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 European Federation for Medical Informatics (EFMI) and IOS Press. Record linkage (RL) is the process of identifying pairs of records that correspond to the same entity, for example the same patient. The basic approach assigns to each pair of records a similarity weight, and then determines a certain threshold, above which the two records are considered to be a match. Three different RL methods were applied under privacy-preserving conditions on hospital admission data: deterministic RL (DRL), probabilistic RL (PRL), and Bloom filters. The patient characteristics like names were one-way encrypted (DRL, PRL) or transformed to a cryptographic longterm key (Bloom filters). Based on one year of hospital admissions, the data set was split randomly in 30 thousand new and 1,5 million known patients. With the combination of the three RL-methods, a positive predictive value of 83 % (95 %-confidence interval 65 %-94 %) was attained. Thus, the application of the presented combination of RL-methods seem to be suited for other applications of population-based research.

    Related items

    Showing items related by title, author, creator and subject.

    • Symptoms of myocardial infarction: Concordance between paramedic and hospital records
      Coventry, Linda; Bremner, A.; Williams, Teresa; Jacobs, Ian; Finn, Judith (2014)
      Introduction: To further reduce time to definitive therapy for acute myocardial infarction (MI) patients, the focus of research needs to be on better understanding prehospital delay in recognition and response to symptoms. ...
    • Computer-based oral exams in Italian language studies
      Newhouse, C.; Cooper, Martin (2013)
      In this paper we report on one component of a three-year study into the use of digital technologies for summative performance assessment in senior secondary courses in Western Australia. One of the courses was Italian ...
    • A case study of records management practices in historic motor sport
      Joseph, Pauline (2016)
      Purpose: This paper aims to report on empirical research that investigated the records management practices of two motor sport community-based organisations in Australia. Design/methodology/approach: This multi-method ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.