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Building public trust in uses of Health Insurance Portability and Accountability Act de-identified data
OBJECTIVES: The aim of this paper is to summarize concerns with the de-identification standard and methodologies established under the Health Insurance Portability and Accountability Act (HIPAA) regulations, and report some potential policies to address those concerns that were discussed at a recent...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Group
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555317/ https://www.ncbi.nlm.nih.gov/pubmed/22735615 http://dx.doi.org/10.1136/amiajnl-2012-000936 |
Sumario: | OBJECTIVES: The aim of this paper is to summarize concerns with the de-identification standard and methodologies established under the Health Insurance Portability and Accountability Act (HIPAA) regulations, and report some potential policies to address those concerns that were discussed at a recent workshop attended by industry, consumer, academic and research stakeholders. TARGET AUDIENCE: The target audience includes researchers, industry stakeholders, policy makers and consumer advocates concerned about preserving the ability to use HIPAA de-identified data for a range of important secondary uses. SCOPE: HIPAA sets forth methodologies for de-identifying health data; once such data are de-identified, they are no longer subject to HIPAA regulations and can be used for any purpose. Concerns have been raised about the sufficiency of HIPAA de-identification methodologies, the lack of legal accountability for unauthorized re-identification of de-identified data, and insufficient public transparency about de-identified data uses. Although there is little published evidence of the re-identification of properly de-identified datasets, such concerns appear to be increasing. This article discusses policy proposals intended to address de-identification concerns while maintaining de-identification as an effective tool for protecting privacy and preserving the ability to leverage health data for secondary purposes. |
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