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Related Experiment Videos

Partitioning knowledge bases between advanced notification and clinical decision support systems.

Tara Borlawsky1, Jianrong Li, Srikant Jalan

  • 1Department of Biomedical Informatics, Columbia University, New York, NY, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
PubMed
Summary

Partitioning knowledge bases in clinical decision support systems (DSSs) improves efficiency. This study presents a novel communication service by coupling a clinical event monitor with a secure notification service proxy.

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Area of Science:

  • Health Informatics
  • Computer Science
  • Clinical Decision Support

Background:

  • Decision support systems (DSSs) manage administrative and clinical knowledge.
  • Varying rates of change in knowledge impact system efficiency and cost.
  • Current systems face challenges in efficient implementation and maintenance.

Purpose of the Study:

  • To explore the benefits of functional partitioning of knowledge base (KB) components in DSSs.
  • To develop a more efficient and cost-effective approach to DSS implementation and maintenance.
  • To create a novel clinical event communication service.

Main Methods:

  • Proposed a functional partition of knowledge base (KB) components.
  • Developed a prototype system.

Related Experiment Videos

  • Loosely coupled a clinical event monitor (from CUMC) with a secure notification service proxy (from IBM Research).
  • Main Results:

    • The functional partition leads to more efficient system implementation.
    • Cost-effectiveness in system maintenance is achieved.
    • A novel and complex clinical event communication service was formed.

    Conclusions:

    • Functional partitioning of KBs is a viable strategy for DSSs.
    • The developed prototype demonstrates an efficient clinical event communication service.
    • This approach enhances the manageability and cost-effectiveness of clinical knowledge management.