Overview
- 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
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (29 chapters)
-
Front Matter
-
Privacy in Data Sharing
-
Front Matter
-
-
Privacy in Distributed and Dynamic Settings
-
Front Matter
-
-
Privacy for Emerging Applications
-
Front Matter
-
Keywords
About this book
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)
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Medical Data Privacy Handbook
Editors: Aris Gkoulalas-Divanis, Grigorios Loukides
DOI: https://doi.org/10.1007/978-3-319-23633-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-23632-2Published: 04 December 2015
Softcover ISBN: 978-3-319-79514-0Published: 21 March 2019
eBook ISBN: 978-3-319-23633-9Published: 26 November 2015
Edition Number: 1
Number of Pages: XLIII, 832
Number of Illustrations: 96 b/w illustrations, 160 illustrations in colour
Topics: Database Management, Systems and Data Security, Data Structures and Information Theory, Health Informatics