Guide to the De-Identification of Personal Health Information (English Edition) 1第一 版本, Kindle电子书
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.
|语种： 英语||版本: 打印副本|
- ASIN : B00CLZT7L0
- 出版社 : Auerbach Publications; 第 1st 版 (2013年5月6日)
- 出版日期 : 2013年5月6日
- 语言 : 英语
- 文件大小 : 27532 KB
- 标准语音朗读 : 未启用
- X-Ray : 未启用
- 生词提示功能 : 未启用
- 纸书页数 : 413页
- 亚马逊热销商品排名: 商品里排第299,391名Kindle商店 (查看商品销售排行榜Kindle商店)
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Don't confuse that this book is not a review of privacy literature but more of a walk-through guidance book on health data privacy. It provides an in-depth understanding of the need for de-identifying personal data, and essential privacy disclosure risks. It provides a detailed explanation on how to evaluate privacy risk, then, presents practical methods to de-identify personal data. Yes, it also discusses policies, regulations, and laws but it moves beyond philosophies and goes into the real mechanics, tools, and techniques without overwhelming the reader.
The discussions and examples in the book are mostly around health data privacy, however, many principles and method can be easily applied or adapted to other data types as well. I would say this book should be most helpful to the professional privacy practitioners, however, I think that it is a must-read resource for anyone who wants to have a deeper understanding of privacy risks on health data and the methods working in practice.
The only issue about my purchase is that the copy I have received has a defect on the cover. I did not mind it so much because I am much more interested in the content than the make-up. Overall, it is a great value!