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Developing a relational XML schema for sharing HIV clinical data.

D R Drozd1, W B Lober, M M Kitahata

  • 1Clinical Informatics Research Group, School of Medicine, University of Washington, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
PubMed
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Developing a data repository using an XML schema improves access to multi-site clinical data for HIV treatment research. This system integrates electronic medical records for better HIV patient care and research across multiple institutions.

Area of Science:

  • Infectious Diseases
  • Medical Informatics
  • Clinical Research

Background:

  • Access to multi-site clinical data is crucial for advancing HIV treatment research.
  • Existing observational research repositories require enhancement for real-time data integration.
  • The Centers for AIDS Research (CFAR) Network of Integrated Clinical Systems (CNICS) aims to improve HIV care through data sharing.

Purpose of the Study:

  • To develop a relational XML Schema for a multi-site observational research repository.
  • To integrate real-time clinical information from electronic medical records (EMRs) into the repository.
  • To facilitate clinical research for improving the treatment of HIV-infected patients.

Main Methods:

  • Developed a relational XML Schema tailored for clinical data.

Related Experiment Videos

  • Integrated data from electronic medical records (EMRs) at six CFAR sites.
  • Extended an existing observational research repository to incorporate new data.

    • Main Results:

    • Successfully created an XML Schema for multi-site data integration.
    • Integrated real-time clinical data from six CFAR sites into the repository.
    • Established a foundation for expanding the research repository to additional sites.

    Conclusions:

    • The developed XML Schema effectively integrates multi-site clinical data for HIV research.
    • The system enhances the capability to study HIV treatment and outcomes in routine care.
    • The methodology may be applicable to studying other chronic diseases using multi-site repositories.