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EXTEND: a prototype expert system for teaching nursing diagnosis

B Koch1, J McGovern

  • 1Royal Melbourne Institute of Technology (Bundoora Campus), Faculty of Nursing, Australia.

Computers in Nursing
|January 1, 1993
PubMed
Summary
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This study introduces EXTEND, an expert system for nursing diagnosis education. It aids students in learning diagnostic reasoning and allows educators to track progress, addressing challenges in nursing education.

Area of Science:

  • Nursing Education
  • Medical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Teaching nursing diagnosis presents challenges, as noted in professional literature.
  • Traditional methods may not adequately support the complex reasoning required for accurate diagnosis.
  • Expert systems offer potential solutions for enhancing educational tools.

Purpose of the Study:

  • To describe the development and applications of EXTEND (Expert system for Education in Nursing Diagnosis).
  • To present a computer-assisted instruction package for teaching nursing diagnosis.
  • To extend the utility of expert systems into diagnostic education.

Main Methods:

  • Development of EXTEND, a computer-assisted instruction package.
  • Integration of a knowledge base for deducing nursing diagnoses from case factors.

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  • Incorporation of features for student-teacher interaction and progress tracking.
  • Main Results:

    • EXTEND deduces nursing diagnoses from case factors.
    • The system answers student questions about simulated clients and guides diagnostic tasks.
    • Educators can record and review student assessment and diagnosis steps.

    Conclusions:

    • EXTEND enhances nursing diagnosis education by providing interactive learning and feedback.
    • The system supports both student learning and educator assessment of diagnostic skills.
    • EXTEND addresses identified problems in the teaching of nursing diagnoses.