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Expert nurses and expert systems. Research and development issues
1University of Missouri-Columbia.
Summary
Expert systems in nursing require clinical knowledge and heuristics from nurse experts. Future research should focus on knowledge engineering and multi-method approaches to develop effective nursing expert systems.
Area of Science:
- Nursing Informatics
- Artificial Intelligence in Healthcare
Background:
- Expert systems in nursing have predominantly used theoretical, deductive methods.
- These approaches often overlook the crucial role of expert clinical nurse knowledge and heuristics.
Purpose of the Study:
- To highlight the necessity of integrating expert clinical nurse knowledge and heuristics into nursing expert system development.
- To advocate for research methodologies that capture and utilize this expert knowledge.
Main Methods:
- Knowledge engineering with nurse experts.
- Multi-method research approaches to study nurse experts.
Main Results:
- Current expert systems in nursing lack sufficient grounding in practical clinical expertise.
- There is a need for research that specifically targets the elicitation and application of nurse expert knowledge.
Conclusions:
- Future development of nursing expert systems must incorporate expert clinical knowledge and heuristics.
- Knowledge engineering and diverse research methods are essential for creating effective computer systems in nursing.