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[Expert systems in medicine: possible uses in anesthesia]
J Petersen1, E Kochs, H D Kochs
1Universität-GH-Duisburg.
Summary
Computers assist in medical data collection and interpretation, not replace human expertise. Expert systems, while powerful, face challenges in clinical medicine despite extensive research.
Area of Science:
- Computer Science
- Medical Informatics
- Artificial Intelligence
Context:
- The role of computers in medicine has evolved from a substitute for human decision-making to a supportive tool.
- Expert systems, or knowledge-based systems, are designed to mimic human thinking for complex data analysis.
Purpose:
- To review the fundamental concepts, problem-solving methods, and applications of expert systems in various medical fields.
- To highlight the disparity between widespread administrative use and limited clinical adoption of potent computer systems.
- To discuss the transformation of expert knowledge for computer processing and the structure of expert systems.
Summary:
- Computers are valuable tools for data collection and interpretation, augmenting human knowledge and experience.
- Expert systems offer significant potential for complex tasks but have seen limited success in clinical medicine compared to administrative areas.
- The review covers the definition of expert knowledge, system structures, problem-solving techniques, and essential technical, psychological, and legal considerations.
Impact:
- Provides a comprehensive overview of expert systems in medicine, identifying challenges and future directions.
- Informs researchers and developers about the state-of-the-art and critical factors for successful implementation in clinical settings.
- Emphasizes the need for realistic expectations regarding computer capabilities in healthcare and the importance of human expertise.
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