Clinical Diagnostic Decision Support Systems—An Overview

  • Randolph A. Miller
  • Antoine Geissbuhler
Part of the Health Informatics book series (HI)


Since primeval times, mankind has attempted to explain natural phenomena using models. For the past four decades a new kind of modeler, the health care informatician, has developed and proliferated a new kind of model, the Clinical Diagnostic Decision Support System (CDDSS). Modeling historically was, and still remains, an inexact science. Ptolemy, in the ‘Almagest’, placed the earth at the center of the universe, and could still explain why the sun would rise in the east each morning. Newton’s nonrelativistic formulation of the laws of mechanics work well for earth-bound engineering applications. Past and present CDDSS incorporate inexact models of the incompletely understood and exceptionally complex process of clinical diagnosis. Yet mankind, using imperfect models, has built machines that fly and has cured many diseases. Because CDDSS augment the natural capabilities of human diagnosticians, it is likely they will be employed productively.1


Clinical Decision Support System Diagnostic Problem Unify Medical Language System Bayesian Belief Network Diagnostic Reasoning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Randolph A. Miller
  • Antoine Geissbuhler

There are no affiliations available

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