Medical Data Privacy Handbook

  • Aris Gkoulalas-Divanis
  • Grigorios Loukides

Table of contents

  1. Front Matter
    Pages i-xliii
  2. Aris Gkoulalas-Divanis, Grigorios Loukides
    Pages 1-14
  3. Privacy in Data Sharing

    1. Front Matter
      Pages 15-15
    2. Aris Gkoulalas-Divanis, Grigorios Loukides
      Pages 17-34
    3. Haoran Li, Li Xiong, Xiaoqian Jiang
      Pages 35-58
    4. Giorgos Poulis, Aris Gkoulalas-Divanis, Grigorios Loukides, Spiros Skiadopoulos, Christos Tryfonopoulos
      Pages 83-109
    5. Grigorios Loukides, John Liagouris, Aris Gkoulalas-Divanis, Manolis Terrovitis
      Pages 149-177
    6. Jiuyong Li, Sarowar A. Sattar, Muzammil M. Baig, Jixue Liu, Raymond Heatherly, Qiang Tang et al.
      Pages 179-200
  4. Privacy in Distributed and Dynamic Settings

    1. Front Matter
      Pages 231-231
    2. Luca Bonomi, Liyue Fan, Li Xiong
      Pages 233-265
    3. James H. Boyd, Sean M. Randall, Anna M. Ferrante
      Pages 267-287
    4. Dalvin Hill, Joseph Walker, John Hale
      Pages 289-311
    5. Muhammad Rizwan Asghar, Giovanni Russello
      Pages 361-387
    6. Assad Abbas, Samee U. Khan
      Pages 389-421
  5. Privacy for Emerging Applications

    1. Front Matter
      Pages 423-423
    2. Shuang Wang, Xiaoqian Jiang, Dov Fox, Lucila Ohno-Machado
      Pages 425-441
    3. Noman Mohammed, Shuang Wang, Rui Chen, Xiaoqian Jiang
      Pages 443-461
    4. Erman Ayday, Jean-Pierre Hubaux
      Pages 463-492
    5. Dalel Bouslimi, Gouenou Coatrieux
      Pages 493-526
    6. Nakeisha Schimke, John Hale
      Pages 527-547
    7. Peter J. Hawrylak, John Hale
      Pages 549-567
    8. Maria Bertsima, Iraklis Varlamis, Panagiotis Rizomiliotis
      Pages 613-635
  6. Privacy Through Policy, Data De-identification, and Data Governance

    1. Front Matter
      Pages 637-637
    2. Amber Stubbs, Özlem Uzuner, Christopher Kotfila, Ira Goldstein, Peter Szolovits
      Pages 717-735
    3. Kimberlyn M. McGrail, Kaitlyn Gutteridge, Nancy L. Meagher
      Pages 737-764
    4. Aris Gkoulalas-Divanis, Grigorios Loukides
      Pages 765-773
  7. Back Matter
    Pages 775-832

About this book


This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors’ comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.


Data anonymization Data privacy Data sharing policies Deployed systems Disclosure risk assessment Electronic health data streams Electronic health networks Genomic privacy Medical IT Medical data privacy Medical image security Privacy legislation Text de-identification

Editors and affiliations

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

Bibliographic information