Objective: There is increasing pressure to share health information and even make it
publicly available. However, such disclosures of personal health information raise serious�…

Background: Explicit patient consent requirements in privacy laws can have a negative
impact on health research, leading to selection bias and reduced recruitment. Often�…

Today's globally networked society places great demand on the dissemination and sharing
of person-speci c data. Situations where aggregate statistical information was once the�…

Electronic health records (EHRs), digitization of patients' health record, offer many
advantages over traditional ways of keeping patients' records, such as easing data�…

The sharing of sensitive personal data has become a core element of biomedical research.
To protect privacy, a broad spectrum of techniques must be implemented, including data�…

Background Publishing raw electronic health records (EHRs) may be considered as a
breach of the privacy of individuals because they usually contain sensitive information. A�…

Updated as of August 2014, this practical book will demonstrate proven methods for
anonymizing health data to help your organization share meaningful datasets, without�…

k-Anonymity is a method for providing privacy protection by ensuring that data cannot be
traced to an individual. In a k-anonymous dataset, any identifying information occurs in at�…

Group based anonymization is the most widely studied approach for privacy-preserving data
publishing. Privacy models/definitions using group based anonymization includes k�…

K-anonymity is a simple yet practical mechanismto protect privacy against attacks of re-
identifying individuals by joining multiple public data sources. All existing methods achieving�…