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Privacy Protection and Secondary Use of Health Data: Strategies and Methods
Author(s) -
Dingyi Xiang,
Wei Cai
Publication year - 2021
Publication title -
biomed research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 126
eISSN - 2314-6141
pISSN - 2314-6133
DOI - 10.1155/2021/6967166
Subject(s) - compromise , big data , data sharing , data anonymization , health data , internet privacy , computer science , information privacy , privacy protection , health records , balance (ability) , value (mathematics) , data science , risk analysis (engineering) , computer security , business , medicine , health care , data mining , alternative medicine , political science , pathology , law , machine learning , physical medicine and rehabilitation
Health big data has already been the most important big data for its serious privacy disclosure concerns and huge potential value of secondary use. Measurements must be taken to balance and compromise both the two serious challenges. One holistic solution or strategy is regarded as the preferred direction, by which the risk of reidentification from records should be kept as low as possible and data be shared with the principle of minimum necessary. In this article, we present a comprehensive review about privacy protection of health data from four aspects: health data, related regulations, three strategies for data sharing, and three types of methods with progressive levels. Finally, we summarize this review and identify future research directions.

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