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Related Experiment Videos

Evaluating consensus among physicians in medical knowledge base construction

N B Giuse1, D A Giuse, R A Miller

  • 1Department of Medicine, University of Pittsburgh.

Methods of Information in Medicine
|April 1, 1993
PubMed
Summary
This summary is machine-generated.

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Physicians can reproducibly extract medical information from literature for knowledge base construction. This study on acute perinephric abscess shows high agreement in finding selection among internists, supporting multi-author knowledge base development.

Area of Science:

  • Medical Informatics
  • Clinical Knowledge Management
  • Evidence-Based Medicine

Background:

  • Inter-author variability poses challenges in constructing comprehensive medical knowledge bases.
  • Standardizing information extraction from peer-reviewed literature is crucial for reliable medical databases.

Purpose of the Study:

  • To evaluate inter-author variability in knowledge base construction for "acute perinephric abscess".
  • To assess the reproducibility of information extraction from medical literature by physicians.

Main Methods:

  • Seven board-certified internists independently profiled "acute perinephric abscess" using 109 peer-reviewed articles.
  • Participants identified disease findings, estimated their predictive value and sensitivity, and assessed article pertinence.

Related Experiment Videos

  • Agreement in finding selection was statistically analyzed against chance.

    • Main Results:

    • Finding selection agreement was significantly higher than chance (78.6, 9.8, 1.6 times more often).
    • Highly sensitive findings were most consistently selected by participants.
    • Physician agreement with the majority correlated with their literature evidence selection.

    Conclusions:

    • Physicians can reproducibly extract information from medical literature with appropriate guidance.
    • This study establishes a foundation for multi-author knowledge base construction.
    • Standardized approaches can minimize inter-author variability in medical knowledge extraction.