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Data Confidentiality

  • Theresa Henle
  • Gregory J. Matthews
  • Ofer HarelEmail author
Reference work entry
Part of the Health Services Research book series (HEALTHSR)

Abstract

When medical data are collected and disseminated for research purposes, the organization which releases the data has an ethical, and in most cases a legal, responsibility to maintain the confidentiality of the data relating to individuals involved. Striking a balance between getting data to researchers and maintaining this confidentiality is becoming an increasingly tricky proposition. Methods developed in the field of statistical disclosure control aim to thwart potential disclosures of private information while still allowing researchers the ability to use the data. This chapter presents a survey of the main types of potential disclosure risks, an overview of the widely used disclosure control methods, and the most common techniques for measuring privacy.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Theresa Henle
    • 1
  • Gregory J. Matthews
    • 1
  • Ofer Harel
    • 2
    Email author
  1. 1.Department of Mathematics and StatisticsLoyola UniversityChicagoUSA
  2. 2.Department of StatisticsUniversity of ConnecticutStorrsUSA

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