Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: McGraw, Deven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2013
Materias:
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
Descripción
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.