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- W2109394571 endingPage "3103" @default.
- W2109394571 startingPage "3081" @default.
- W2109394571 abstract "Health and medical data are increasingly being generated, collected, and stored in electronic form in healthcare facilities and administrative agencies. Such data hold a wealth of information vital to effective health policy development and evaluation, as well as to enhanced clinical care through evidence-based practice and safety and quality monitoring. These initiatives are aimed at improving individuals' health and well-being. Nevertheless, analyses of health data archives must be conducted in such a way that individuals' privacy is not compromised. One important aspect of protecting individuals' privacy is protecting the confidentiality of their data. It is the purpose of this paper to provide a review of a number of approaches to reducing disclosure risk when making data available for research, and to present a taxonomy for such approaches. Some of these methods are widely used, whereas others are still in development. It is important to have a range of methods available because there is also a range of data-use scenarios, and it is important to be able to choose between methods suited to differing scenarios. In practice, it is necessary to find a balance between allowing the use of health and medical data for research and protecting confidentiality. This balance is often presented as a trade-off between disclosure risk and data utility, because methods that reduce disclosure risk, in general, also reduce data utility." @default.
- W2109394571 created "2016-06-24" @default.
- W2109394571 creator A5041388212 @default.
- W2109394571 creator A5071941451 @default.
- W2109394571 date "2015-06-05" @default.
- W2109394571 modified "2023-10-06" @default.
- W2109394571 title "Individual privacy versus public good: protecting confidentiality in health research" @default.
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- W2109394571 doi "https://doi.org/10.1002/sim.6543" @default.
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