Medical Data Privacy Handbook

Editors: Gkoulalas-Divanis, Aris, Loukides, Grigorios (Eds.)

  • Provides in-depth coverage of medical data privacy research and the current technologies
  •  Explores issues of privacy regarding genetic information (DNA), XML documents, and RFID tags
  • Includes survey chapters on privacy-preserving algorithms for publishing medical data
  • Includes numerous case studies, examples, figures and discussions in a user-friendly format
  • Provides coverage of the US and EU privacy legislation for medical data sharing, discusses major cases of privacy breaches in the healthcare domain and their associated costs
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Buy this book

eBook 166,59 €
price for Spain (gross)
  • ISBN 978-3-319-23633-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 207,99 €
price for Spain (gross)
  • ISBN 978-3-319-23632-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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.

About the authors

Aris Gkoulalas-Divanis received the BS from the University of Ioannina (2003), the MS from the University of Minnesota (2005) and the PhD from the University of Thessaly (2009), all in Computer Science. His PhD dissertation was awarded the Certificate of Recognition and Honorable Mention in the 2009 ACM SIGKDD Dissertation Award. From 2009 to 2010, he was appointed as a postdoctoral research fellow in the Dept. of Biomedical Informatics, Vanderbilt University, working on medical data privacy. In 2010, he joined IBM Research-Zurich, as a Research Staff Member. Since 2012, he is working in the Smarter Cities Technology Center of IBM Research-Ireland, leading research in the area of data privacy and anonymization. Aris is a regular reviewer for several prestigious journals and serves in the program committee of major conferences. He has co-authored/co-edited 4 Springer books in the areas of data anonymization, knowledge hiding, and large-scale data mining.

Grigorios Loukides is an Assistant Professor in the School of Computer Science & Informatics at Cardiff University and a Royal Academy of Engineering Research Fellow. His research interests lie broadly in the field of data management with a focus on privacy. His recent research investigates theoretical and practical aspects of data privacy, including algorithmic design, optimization, and formal modeling, and explores applications in healthcare and business. He has received 4 best paper awards, including an award from the American Medical Informatics Association (AMIA) Annual Symposium, 2009. He obtained a Diploma in Computer Science (2005) from University of Crete, Greece, and a PhD in Computer Science (2009) from Cardiff University, UK.

Reviews

“It provides one of the most comprehensive treatments of medical data privacy among books on the market today. … As a snapshot reflecting some of the most interesting and promising research that is currently going on in the field of medical data privacy, the book by Gkoulalas-Divanis and Loukides is a must-read. It also gives the reader a strong sense of the research directions that are being pursued and that are expected to bear fruit in the next few years.” (Khaled El Emam, Journal of Biomedical Informatics, June, 2016)

“This collection of chapters by 63 researchers has a primary focus on security and privacy issues within electronic medical records (EMR) database systems. … Researchers and advanced students will find this handbook useful. … this is a reference for anyone concerned with medical data privacy and should be on your bookshelf.” (Brad Reid, Computing Reviews, computingreviews.com, May, 2016)


Table of contents (29 chapters)

  • Introduction to Medical Data Privacy

    Gkoulalas-Divanis, Aris (et al.)

    Pages 1-14

    Preview Buy Chapter 30,19 €
  • A Survey of Anonymization Algorithms for Electronic Health Records

    Gkoulalas-Divanis, Aris (et al.)

    Pages 17-34

    Preview Buy Chapter 30,19 €
  • Differentially Private Histogram and Synthetic Data Publication

    Li, Haoran (et al.)

    Pages 35-58

    Preview Buy Chapter 30,19 €
  • Evaluating the Utility of Differential Privacy: A Use Case Study of a Behavioral Science Dataset

    Hill, Raquel

    Pages 59-82

    Preview Buy Chapter 30,19 €
  • SECRETA: A Tool for Anonymizing Relational, Transaction and RT-Datasets

    Poulis, Giorgos (et al.)

    Pages 83-109

    Preview Buy Chapter 30,19 €

Buy this book

eBook 166,59 €
price for Spain (gross)
  • ISBN 978-3-319-23633-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 207,99 €
price for Spain (gross)
  • ISBN 978-3-319-23632-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Medical Data Privacy Handbook
Editors
  • Aris Gkoulalas-Divanis
  • Grigorios Loukides
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-23633-9
DOI
10.1007/978-3-319-23633-9
Hardcover ISBN
978-3-319-23632-2
Edition Number
1
Number of Pages
XLIII, 832
Number of Illustrations and Tables
96 b/w illustrations, 160 illustrations in colour
Topics