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Distributing knowledge maintenance for clinical decision-support systems: the "knowledge library" model.

A Geissbuhler1, R A Miller

  • 1Division of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Proceedings. AMIA Symposium
|November 24, 1999
PubMed
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Maintaining clinical decision-support systems is difficult. A distributed "knowledge library" model improves scalability, accuracy, and user ownership by assigning tasks to experts at Vanderbilt University Medical Center.

Area of Science:

  • Medical Informatics
  • Health Information Systems
  • Knowledge Management

Background:

  • Maintaining knowledge-rich clinical decision-support systems (CDSS) presents significant challenges, especially within large academic medical centers.
  • Ensuring the accuracy, scalability, and currency of CDSS knowledge bases is crucial for effective clinical practice.
  • Distributed maintenance models are proposed to address these challenges and enhance user engagement.

Purpose of the Study:

  • To describe and illustrate the "knowledge library" model for distributed maintenance of an integrated knowledge base.
  • To address the complexities of managing knowledge from diverse stakeholders and legacy systems in a CDSS.

Main Methods:

  • Implementation of a distributed knowledge maintenance model at Vanderbilt University Medical Center.

Related Experiment Videos

  • Utilizing a "knowledge library" approach to manage an integrated knowledge base for the WizOrder system.
  • Developing processes and tools to accommodate various stakeholders and evolving knowledge content.

    • Main Results:

    • The knowledge library model facilitates distributed maintenance of a complex CDSS knowledge base.
    • This model addresses issues of scalability, accuracy, and currency by leveraging source expertise.
    • It fosters a greater sense of ownership among system users, including physicians and other care providers.

    Conclusions:

    • Distributed knowledge maintenance models, such as the knowledge library, are effective for managing complex CDSS in academic medical centers.
    • This approach enhances system reliability and user adoption.
    • It provides a scalable and sustainable solution for the ongoing evolution of clinical knowledge within healthcare systems.