Guide to the De-Identification of Personal Health Information

Khaled El Emam

Hardback
$55.96

eBook
from $31.00

May 6, 2013 by Auerbach Publications
Professional - 413 Pages - 32 B/W Illustrations
ISBN 9781466579064 - CAT# K16841

FREE Standard Shipping!

was $69.95

$55.96

SAVE $13.99

Add to Cart
Add to Wish List

Features

  • Presents a risk-based methodology for the de-identification of health information
  • Provides a detailed case for why de-identification is necessary and when it is advised to apply it when using and disclosing personal health information
  • Situates and contextualizes our risk-based methodology, and gives a general overview of its steps
  • Explains in some detail how to measure re-identification risk and how to go about applying transformations to data to reduce the risk of re-identification
  • Focuses on transformations that we know have worked on health information, rather than covering all possible approaches that have been published or proposed

Summary

Offering compelling practical and legal reasons why de-identification should be one of the main approaches to protecting patients’ privacy, the Guide to the De-Identification of Personal Health Information outlines a proven, risk-based methodology for the de-identification of sensitive health information. It situates and contextualizes this risk-based methodology and provides a general overview of its steps.

The book supplies a detailed case for why de-identification is important as well as best practices to help you pin point when it is necessary to apply de-identification in the disclosure of personal health information. It also:

  • Outlines practical methods for de-identification
  • Describes how to measure re-identification risk
  • Explains how to reduce the risk of re-identification
  • Includes proofs and supporting reference material
  • Focuses only on transformations proven to work on health information—rather than covering all possible approaches, whether they work in practice or not

Rated the top systems and software engineering scholar worldwide by The Journal of Systems and Software, Dr. El Emam is one of only a handful of individuals worldwide qualified to de-identify personal health information for secondary use under the HIPAA Privacy Rule Statistical Standard. In this book Dr. El Emam explains how we can make health data more accessible—while protecting patients’ privacy and complying with current regulations.