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Clinical reasoning processes: unravelling complexity through graphical representation.

Bernard Charlin1, Stuart Lubarsky, Bernard Millette

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Medical Education
|April 21, 2012
PubMed
Summary
This summary is machine-generated.

A new hierarchical model of clinical reasoning processes was developed using MOT Plus software. This model aids medical education by identifying learning opportunities and remediating reasoning errors in clinicians.

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Area of Science:

  • Medical Education
  • Cognitive Science
  • Knowledge Modeling

Background:

  • Clinical reasoning is crucial but difficult to teach and learn.
  • Existing models inadequately capture clinical reasoning complexity.
  • Knowledge-modeling software offers potential solutions.

Purpose of the Study:

  • To develop a comprehensive, generic model of clinical reasoning processes.
  • To validate the model for use by medical educators and learners.
  • To explore applications in medical curricula.

Main Methods:

  • Participatory action research and MOT Plus software were employed.
  • Knowledge was extracted from experienced clinicians over 250+ hours.
  • Iterative validation and testing with simulated patients were conducted.

Main Results:

  • A hierarchical model of clinical reasoning processes was created.
  • The model demonstrated generalizability across disciplines and situations.
  • Validation confirmed its utility for educational purposes.

Conclusions:

  • The MOT model can enhance undergraduate and graduate medical education.
  • It supports curriculum development by highlighting learning moments.
  • The model aids in identifying and correcting clinical reasoning errors.