Interpreting Clinical Data Using Concept Maps

Artificial Intelligence in Medicine: Interpreting Clinical Data

Volume

Papers from the 1994 AAAI Spring Symposium

Contents

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.