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Related Experiment Videos

Knowledge engineering for a clinical trial advice system: uncovering errors in protocol specification.

M A Musen, J A Rohn, L M Fagan

    Bulletin Du Cancer
    |January 1, 1987
    PubMed
    Summary
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    Encoding oncology protocols for the ONCOCIN expert system revealed ambiguities and omissions in clinical trial documents. An automated authoring environment, OPAL, aims to create clearer protocols for better cancer patient care standardization.

    Area of Science:

    • Oncology
    • Medical Informatics
    • Clinical Trial Management

    Background:

    • Expert systems like ONCOCIN aid physicians in cancer clinical trials.
    • Encoding protocol knowledge highlighted significant omissions and ambiguities in existing documents.
    • Physician judgment often overrides explicit protocol guidelines due to perceived incompleteness.

    Purpose of the Study:

    • To identify issues in clinical trial protocol documentation.
    • To explore the potential of computer-based tools for improving protocol definition.
    • To introduce an automated protocol authoring environment (OPAL) for enhanced clarity and standardization.

    Main Methods:

    • Analysis of knowledge encoding for the ONCOCIN expert system.
    • Identification of ambiguities and omissions in oncology clinical trial protocols.

    Related Experiment Videos

  • Development of the OPAL automated protocol authoring environment.

    • Main Results:

    • The encoding process revealed critical omissions and ambiguities in protocol documents.
    • Many protocols allow considerable physician latitude, impacting standardization.
    • Physicians frequently deviate from explicit guidelines, assuming incomplete specifications.

    Conclusions:

    • Computer-based tools can ensure completeness and reproducibility in protocol definition.
    • OPAL aims to develop unambiguous protocols.
    • Improved protocol clarity is expected to enhance patient care compliance and standardization.