Development of a HIPAA-compliant environment for translational research data and analytics.

High-performance computing centers (HPC) traditionally have far less restrictive privacy management policies than those encountered in healthcare. We show how an HPC can be re-engineered to accommodate clinical data while retaining its utility in computationally intensive tasks such as data mining,...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of the American Medical Informatics Association Vol. 21; no. 1; pp. 185 - 190
Autores principales: Bradford, Wayne, Hurdle, John F, Lasalle, Bernie, Facelli, Julio C
Formato: research Journal Article
Publicado: Oxford University Press / USA Jan2014
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103998012&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 103998012
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        10675027
        FZ9
      jtl: Journal of the American Medical Informatics Association
      issn: 10675027
      maglogo: N
    pubinfo:
      dt: Jan2014
      vid: 21
      iid: 1
      pid: 622
      pub: Oxford University Press / USA
    artinfo:
      ui:
        103998012
        NLM23911553
        2012437087
        10.1136/amiajnl-2013-001769
        NLM23911553
        PMC3912719
        103998012
      ppf: 185
      ppct: 5
      formats:
      tig:
        atl: Development of a HIPAA-compliant environment for translational research data and analytics.
      aug:
        au:
          Bradford, Wayne
          Hurdle, John F
          Lasalle, Bernie
          Facelli, Julio C
        affil: Center for High Performance Computing, University of Utah Health Sciences Center, Salt Lake City, Utah, USA.
      sug:
        subj:
          Computer Systems
          Health Insurance Portability and Accountability Act
          Research, Medical
          Computer Communication Networks
          Privacy and Confidentiality
          Medical Informatics
          Schools, Health Occupations Administration
          United States
          Utah
      ab: High-performance computing centers (HPC) traditionally have far less restrictive privacy management policies than those encountered in healthcare. We show how an HPC can be re-engineered to accommodate clinical data while retaining its utility in computationally intensive tasks such as data mining, machine learning, and statistics. We also discuss deploying protected virtual machines. A critical planning step was to engage the university's information security operations and the information security and privacy office. Access to the environment requires a double authentication mechanism. The first level of authentication requires access to the university's virtual private network and the second requires that the users be listed in the HPC network information service directory. The physical hardware resides in a data center with controlled room access. All employees of the HPC and its users take the university's local Health Insurance Portability and Accountability Act training series. In the first 3 years, researcher count has increased from 6 to 58.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N