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Related Experiment Videos

Expert system development in nursing: implications for critical care nursing practice

M E Fonteyn1, S J Grobe

  • 1University of San Francisco, School of Nursing, CA 94117-1080.

Heart & Lung : the Journal of Critical Care
|January 1, 1994
PubMed
Summary
This summary is machine-generated.

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Highly experienced critical care nurses

Area of Science:

  • Nursing Science
  • Artificial Intelligence
  • Clinical Decision Support

Background:

  • Critical care nursing involves complex decision-making for unstable patients.
  • Expertise in critical care is often tacit and difficult to transfer.
  • Developing computational models of expert reasoning is a key challenge.

Purpose of the Study:

  • To investigate the reasoning processes of expert critical care nurses.
  • To identify knowledge structures and decision-making strategies.
  • To assess the utility of this information for developing expert systems.

Main Methods:

  • Descriptive study utilizing the think-aloud technique.
  • Protocol analysis of nurse reasoning during a simulated critical patient scenario.

Related Experiment Videos

  • Laboratory-based simulation of a deteriorating patient.

    • Main Results:

    • Identified specific information used by nurses and its organization for care planning.
    • Extracted "if-then" rules from nurse reasoning processes.
    • Demonstrated the feasibility of capturing expert knowledge for system design.

    Conclusions:

    • Expert reasoning processes can be modeled for expert system development.
    • Such systems can preserve and disseminate critical care nursing expertise.
    • Aiding less experienced nurses in improving reasoning skills and strategies.