Titlebook: Knowledge Engineering in Health Informatics; Homer R. Warner,Dean K. Sorenson,Omar Bouhaddou Book 1997 Springer Science+Business Media New

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https://doi.org/10.1007/978-1-4612-1822-7Computer; Computerassistierte Detektion; Internal medicine; Knowledge Engineering; Master Patient Index;

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Future Challenges,Although many expert systems or decision support systems have been developed, used, and evaluated to some extent, the full benefits of this advanced computer technology await their wide use in the health care system. Major obstacles (see also Chapter 1) to the wide dissemination of decision support systems exist, e.g.:

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The Data Dictionary: Limiting the Domain of the Model,tionary is the set of diseases and disease manifestations (i.e., symptoms, signs, laboratory results, radiological results, and special procedures) across all the diseases represented in the knowledge base.

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Knowledge Engineering Tools, from domain experts, the literature, and patient databases, to restructuring that information in the system and testing its performance against expert judgment and real cases. The process of developing a working knowledge base is iterative, and multiple cycles are necessary before a satisfactory behavior evolves.