Interpreting Clinical Data Using Concept Maps

D. Snyder

This abstract describes the application of concept mapping for assembling information as a methodology for interpreting clinical data. This effort is intended to be a demonstration that concept mapping is a highly effective means of capturing the understanding of the problem domain associated with the expanding information available in today’s clinical environments. The use of concept mapping in conjunction with a Macintoshbased software tool called the Interpreter allowed clinical information to be integrated and indexed using multiple classification categories and associated keyword lists.


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