Guide to the De-Identification of Personal Health Information (Hardcover)
暫譯: 個人健康資訊去識別化指南(精裝版)
Khaled El Emam
- 出版商: Auerbach Publication
- 出版日期: 2013-05-06
- 售價: $2,500
- 貴賓價: 9.5 折 $2,375
- 語言: 英文
- 頁數: 413
- 裝訂: Hardcover
- ISBN: 1466579064
- ISBN-13: 9781466579064
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相關分類:
資訊安全
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相關主題
商品描述
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.
商品描述(中文翻譯)
提供了令人信服的實務和法律理由,說明去識別化應該成為保護病人隱私的主要方法之一,《個人健康資訊去識別化指南》概述了一種經過驗證的、基於風險的方法論,用於去識別化敏感健康資訊。它將這種基於風險的方法論置於背景中,並提供其步驟的一般概述。
本書詳細說明了去識別化的重要性以及最佳實踐,幫助您確定在披露個人健康資訊時何時需要應用去識別化。它還:
- 概述了去識別化的實用方法
- 描述了如何衡量重新識別風險
- 解釋了如何降低重新識別的風險
- 包含證明和支持參考資料
- 僅專注於已證明對健康資訊有效的轉換方法,而不是涵蓋所有可能的方法,無論它們在實踐中是否有效
被《系統與軟體期刊》評為全球頂尖的系統與軟體工程學者,El Emam博士是全球僅有的幾位符合HIPAA隱私規則統計標準的個人健康資訊去識別化專家之一。在本書中,El Emam博士解釋了我們如何在保護病人隱私和遵守當前法規的同時,使健康數據更易於訪問。