IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-26328-6_7.html
   My bibliography  Save this book chapter

Privacy-Preserving Record Linkage for Real-World Data

In: Real-World Evidence in Medical Product Development

Author

Listed:
  • Tianyu Zhan

    (AbbVie Inc., Data and Statistical Sciences)

  • Yixin Fang

    (AbbVie Inc., Data and Statistical Sciences)

  • Weili He

    (AbbVie Inc., Data and Statistical Sciences)

Abstract

Real-world data (RWD) are data relating to health status and delivery of health care routinely collected from a variety of sources, including electronic health records (EHRs), claims activities, and patient registries. It is of great interest to aggregate and link data of the same patients from several data sources to provide a more comprehensive longitudinal evaluation of treatments from different aspects. Privacy-Preserving Record Linkage (PPRL) is a framework to match records from different datasets without compromising privacy and confidentiality of these entities. In this chapter, we review several aspects behind PPRL, including data preprocessing, privacy protection, linkage, and performance evaluation. We also provide a demonstration via an existing R package on NHANES (National Health and Nutrition Examination Survey).

Suggested Citation

  • Tianyu Zhan & Yixin Fang & Weili He, 2023. "Privacy-Preserving Record Linkage for Real-World Data," Springer Books, in: Weili He & Yixin Fang & Hongwei Wang (ed.), Real-World Evidence in Medical Product Development, pages 109-122, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-26328-6_7
    DOI: 10.1007/978-3-031-26328-6_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-26328-6_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.