Anonymization of Electronic Medical Records to Support Clinical Analysis

  • Aris Gkoulalas-Divanis
  • Grigorios Loukides

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Aris Gkoulalas-Divanis, Grigorios Loukides
    Pages 1-8
  3. Aris Gkoulalas-Divanis, Grigorios Loukides
    Pages 9-30
  4. Aris Gkoulalas-Divanis, Grigorios Loukides
    Pages 31-38
  5. Aris Gkoulalas-Divanis, Grigorios Loukides
    Pages 39-53
  6. Aris Gkoulalas-Divanis, Grigorios Loukides
    Pages 55-64
  7. Aris Gkoulalas-Divanis, Grigorios Loukides
    Pages 65-69
  8. Back Matter
    Pages 71-72

About this book

Introduction

Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art methods developed to safeguard data against these threats.

To motivate the need for computational methods, the book first explores the main challenges facing the privacy-protection of medical data using the existing policies, practices and regulations. Then, it takes an in-depth look at the popular computational privacy-preserving methods that have been developed for demographic, clinical and genomic data sharing, and closely analyzes the privacy principles behind these methods, as well as the optimization and algorithmic strategies that they employ. Finally, through a series of in-depth case studies that highlight data from the US Census as well as the Vanderbilt University Medical Center, the book outlines a new, innovative class of privacy-preserving methods designed to ensure the integrity of transferred medical data for subsequent analysis, such as discovering or validating associations between clinical and genomic information.

Anonymization of Electronic Medical Records to Support Clinical Analysis is intended for professionals as a reference guide for safeguarding the privacy and data integrity of sensitive medical records. Academics and other research scientists will also find the book invaluable.

Keywords

anonymity clinical studies data utility genome-wide association studies medical records privacy

Authors and affiliations

  • Aris Gkoulalas-Divanis
    • 1
  • Grigorios Loukides
    • 2
  1. 1.IBM Research - IrelandMulhuddartIreland
  2. 2.Cardiff UniversityCardiffUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-5668-1
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-5667-4
  • Online ISBN 978-1-4614-5668-1
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book