Title |
Methods for the de-identification of electronic health records for genomic research
|
---|---|
Published in |
Genome Medicine, April 2011
|
DOI | 10.1186/gm239 |
Pubmed ID | |
Authors |
Khaled El Emam |
Abstract |
Electronic health records are increasingly being linked to DNA repositories and used as a source of clinical information for genomic research. Privacy legislation in many jurisdictions, and most research ethics boards, require that either personal health information is de-identified or that patient consent or authorization is sought before the data are disclosed for secondary purposes. Here, I discuss how de-identification has been applied in current genomic research projects. Recent metrics and methods that can be used to ensure that the risk of re-identification is low and that disclosures are compliant with privacy legislation and regulations (such as the Health Insurance Portability and Accountability Act Privacy Rule) are reviewed. Although these methods can protect against the known approaches for re-identification, residual risks and specific challenges for genomic research are also discussed. |
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Unknown | 1 | 33% |
Demographic breakdown
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Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
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Canada | 2 | 2% |
United Kingdom | 2 | 2% |
United States | 2 | 2% |
Korea, Republic of | 1 | 1% |
Germany | 1 | 1% |
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Researcher | 19 | 20% |
Student > Ph. D. Student | 18 | 19% |
Student > Master | 11 | 12% |
Student > Bachelor | 7 | 8% |
Professor > Associate Professor | 6 | 6% |
Other | 19 | 20% |
Unknown | 13 | 14% |
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Nursing and Health Professions | 2 | 2% |
Other | 12 | 13% |
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