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Related Experiment Videos

Cross-tool communication: from protocol authoring to eligibility determination.

J H Gennari1, D Sklar, J Silva

  • 1Information and Computer Science Department, University of California, Irvine, CA, USA.

Proceedings. AMIA Symposium
|February 5, 2002
PubMed
Summary

Informatics tools for clinical trial protocols can share eligibility criteria using XML. This enables seamless knowledge sharing between independently developed systems, improving trial management.

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Area of Science:

  • Biomedical Informatics
  • Clinical Trial Management
  • Knowledge Representation

Background:

  • Effective clinical trial protocols require interoperable informatics tools for seamless knowledge sharing.
  • Current systems often lack the ability to communicate eligibility criteria efficiently.
  • Standardization in data exchange is crucial for advancing clinical research.

Purpose of the Study:

  • To demonstrate a method for inter-operating informatics tools for clinical trial protocols.
  • To showcase the use of XML-based communication for sharing eligibility criteria.
  • To integrate an authoring tool with a commercial eligibility determination system.

Main Methods:

  • Developed a shared Document Type Definition (DTD) model for eligibility criteria.

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  • Utilized an authoring tool within the Protégé environment to encode criteria.
  • Implemented XML-based data exchange to transfer criteria to the iKnowChart system.
  • Leveraged Common Data Elements (CDEs) for oncology terminology.

    • Main Results:

    • Successfully demonstrated XML-based communication of eligibility criteria between two tools.
    • The Protégé ontology effectively captured criteria terminology and logic.
    • The iKnowChart system accurately processed updated eligibility information.
    • Encoding criteria from clinical trial protocol E1199 validated the approach.

    Conclusions:

    • Interoperable informatics tools are essential for effective clinical trial protocol management.
    • A shared DTD model and XML facilitate knowledge sharing between diverse systems.
    • This approach enhances the efficiency and accuracy of automatic eligibility determination.