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Anonymizing Health Data

Khaled El Emam Luk Arbuckle

$66.50

Paperback

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English
O'Reilly Media
03 January 2014
Clinical and research organizations increasingly want to share patient data, and robust de-identification is crucial to meet legal obligations and or ethical reasons. This book, written by two leading experts in de-identification, explains how to adhere to regulations in a defensible way to protect sensitive patient data. Numerous case studies are included from settings that range from typical clinical treatment to disease registries. The metrics used to determine that reidentification is unlikely, and special cases such as continuously released data, will be covered. The authors finish with a discussion of the effects of de-identification on data quality and analysis.

By:  
Contributions by:  
Imprint:   O'Reilly Media
Country of Publication:   United States
Dimensions:   Height: 233mm,  Width: 178mm,  Spine: 12mm
Weight:   372g
ISBN:   9781449363079
ISBN 10:   1449363075
Pages:   150
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Dr. Khaled El Emam is an Associate Professor at the University of Ottawa, Faculty of Medicine, a senior investigator at the Children's Hospital of Eastern Ontario Research Institute, and a Canada Research Chair in Electronic Health Information at the University of Ottawa. He is also the Founder and CEO of Privacy Analytics, Inc. His main area of research is developing techniques for health data de-identification/anonymization and secure computation protocols for health research and public health purposes. He has made many contributions to the health privacy area. Luk Arbuckle has been crunching numbers for a decade. He originally plied his trade in the area of image processing and analysis, and then in the area of applied statistics. Since joining the Electronic Health Information Laboratory (EHIL) at the CHEO Research Institute he has worked on methods to de-identify health data, participated in the development and evaluation of secure computation protocols, and provided all manner of statistical support. As a consultant with Privacy Analytics, he has also been heavily involved in conducting risk analyses on the re-identification of patients in health data.

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