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Related Experiment Videos

Managing attribute--value clinical trials data using the ACT/DB client-server database system

P M Nadkarni1, C Brandt, S Frawley

  • 1Center for Medical Informatics, Yale University School of Medicine, New Haven, CT 06520-8009, USA. Prakash.Nadkarni@yale.edu

Journal of the American Medical Informatics Association : JAMIA
|April 3, 1998
PubMed
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ACT/DB is a new client-server database application for clinical trials and outcomes data management. This system facilitates rapid study design and data entry, with features for data analysis and parameter reuse across studies.

Area of Science:

  • Clinical Informatics
  • Database Management Systems
  • Biomedical Data Science

Background:

  • Managing clinical trials and outcomes data requires robust and flexible database solutions.
  • Existing systems may lack efficiency in study design, data entry, and analysis.
  • The entity-attribute-value (EAV) model offers flexibility for diverse data types.

Purpose of the Study:

  • To introduce and evaluate ACT/DB, a client-server database application for clinical trials data.
  • To assess the application's capabilities in study design, data management, and analysis.
  • To demonstrate the system's utility in a pilot deployment across multiple studies.

Main Methods:

  • ACT/DB utilizes a client-server architecture with a Microsoft Access client and an Oracle server.

Related Experiment Videos

  • Data is stored primarily in an entity-attribute-value (EAV) format, segregated by data type.
  • Features include customizable data entry forms, standard reports, text export, and dictionary maintenance.

    • Main Results:

    • The application supports rapid study design by allowing investigators to define parameters and groupings.
    • Data segregation and management of binary large objects (BLOBs) are handled efficiently.
    • ACT/DB is currently managing data for seven studies during its initial pilot phase.

    Conclusions:

    • ACT/DB provides a flexible and efficient solution for managing clinical trials and outcomes data.
    • The system's design encourages parameter reuse, enhancing efficiency across multiple studies.
    • Pilot use demonstrates the application's readiness for broader deployment in clinical research data management.