Enabling genomic-phenomic association discovery without sacrificing anonymity.

ABSTRACT: Health information technologies facilitate the collection of massive quantities of patient-level data. A growing body of research demonstrates that such information can support novel, large-scale biomedical investigations at a fraction of the cost of traditional prospective studies. While healthcare organizations are being encouraged to share these data in a de-identified form, there is hesitation over concerns that it will allow corresponding patients to be re-identified. Currently proposed technologies to anonymize clinical data may make unrealistic assumptions with respect to the capabilities of a recipient to ascertain a patients identity. We show that more pragmatic assumptions enable the design of anonymization algorithms that permit the dissemination of detailed clinical profiles wi

SUBMITTER: Heatherly RD 

PROVIDER: S-EPMC3566194 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature