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Reconstructing medical problem solving competence: MACCORD

D Kraus1, B Petkoff, H Mannebach

  • 1Dept of Medical Informatics, Heart Center Northrhine-Westphalia, Bad Oeynhausen, Germany.

Methods of Information in Medicine
|August 1, 1993
PubMed
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Medical knowledge-based systems are built using structured methodologies. MACCORD, an application of ACCORD methodology to medicine, formalizes medical reasoning for knowledge acquisition and problem-solving analysis.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Cognitive Science

Background:

  • Developing medical knowledge-based systems requires understanding methodological principles.
  • Existing systems may not fully capture the complexity of medical reasoning.

Purpose of the Study:

  • To introduce MACCORD, a methodology for applying knowledge-based systems to medicine.
  • To represent medical expert problem-solving behavior formally.
  • To cover the diversity of medical reasoning at various abstraction levels.

Main Methods:

  • Utilizing the ACCORD general methodology for knowledge-based systems.
  • Applying ACCORD to medicine, resulting in MACCORD.
  • Describing epistemic and cognitive processes in clinical medicine using formal terminology.

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Main Results:

  • MACCORD provides a formal framework for medical reasoning.
  • The methodology captures various types of medical reasoning and abstraction levels.
  • MACCORD facilitates the description of clinical problem-solving behavior.

Conclusions:

  • MACCORD offers a formalized approach to medical knowledge representation.
  • This methodology contributes to medical knowledge acquisition and didactics.
  • MACCORD aids in analyzing and applying medical problem-solving methods.