Stephany N Duda

Summary

Affiliation: Vanderbilt University
Country: USA

Publications

  1. ncbi An XML model of an enhanced data dictionary to facilitate the exchange of pre-existing clinical research data in international studies
    Stephany N Duda
    Vanderbilt University, Nashville, USA
    Stud Health Technol Inform 129:449-53. 2007
  2. ncbi Desiderata for a computer-assisted audit tool for clinical data source verification audits
    Stephany N Duda
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
    Stud Health Technol Inform 160:894-8. 2010
  3. ncbi Measuring the Quality of Observational Study Data in an International HIV Research Network
    Stephany N Duda
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
    PLoS ONE 7:e33908. 2012

Detail Information

Publications3

  1. ncbi An XML model of an enhanced data dictionary to facilitate the exchange of pre-existing clinical research data in international studies
    Stephany N Duda
    Vanderbilt University, Nashville, USA
    Stud Health Technol Inform 129:449-53. 2007
    ....
  2. ncbi Desiderata for a computer-assisted audit tool for clinical data source verification audits
    Stephany N Duda
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
    Stud Health Technol Inform 160:894-8. 2010
    ..The authors propose a set of attributes to guide the development of a computer-assisted clinical data audit tool to simplify and standardize the audit process...
  3. ncbi Measuring the Quality of Observational Study Data in an International HIV Research Network
    Stephany N Duda
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
    PLoS ONE 7:e33908. 2012
    ..The authors recommend that all participants in observational cohorts use data audits to assess and improve the quality of data and to guide future data collection and abstraction efforts at the point of care...