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Related Experiment Videos

Desperately seeking data: knowledge base-database links

G Hripcsak1, S B Johnson, P D Clayton

  • 1Center for Medical Informatics, Columbia-Presbyterian Medical Center, New York, NY 10032.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
PubMed
Summary
This summary is machine-generated.

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Integrating knowledge-based systems (KBS) with clinical databases requires significant effort. These links heavily impact MLM knowledge base coding, maintenance, and performance, consuming most execution time.

Area of Science:

  • Medical Informatics
  • Clinical Decision Support

Background:

  • Knowledge-based systems (KBS) are crucial for clinical applications like the Columbia-Presbyterian Medical Center's event monitor.
  • These systems utilize Arden Syntax Medical Logic Modules (MLMs) for their knowledge base.
  • Integrating KBS with clinical databases presents significant challenges.

Purpose of the Study:

  • To quantify the use and impact of KBS-database links within an MLM knowledge base.
  • To analyze the resource consumption associated with these critical links.

Main Methods:

  • Analysis of the MLM knowledge base at Columbia-Presbyterian Medical Center.
  • Quantification of statements and tokens in MLM data and logic slots.
  • Measurement of modifications to data and logic slots over time.

Related Experiment Videos

  • Assessment of execution time attributed to database queries and updates.
  • Main Results:

    • The MLM data slot, defining KBS-database links, contained comparable statements but more tokens than the logic slot.
    • The data slot experienced twice as many modifications per version compared to the logic slot.
    • Database queries and updates constituted 97.2% of the MLM's total execution time.

    Conclusions:

    • KBS-database links are resource-intensive, demanding substantial effort in coding and maintenance.
    • These links significantly impact system performance, consuming the majority of execution time.
    • Addressing the resource demands of KBS-database links is critical for widespread adoption of clinical KBS.