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Related Experiment Videos

Development of visual diagnostic expertise in pathology -- an information-processing study.

Rebecca S Crowley1, Gregory J Naus, Jimmie Stewart

  • 1Center for Pathology Informatics, Center for Biomedical Informatics, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA. crowleyrs@msx.upmc.edu

Journal of the American Medical Informatics Association : JAMIA
|January 2, 2003
PubMed
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Expertise in microscopic pathology diagnosis develops through improved search strategies, visual data interpretation, and feature recognition. These findings inform pathology training systems.

Area of Science:

  • Cognitive Science
  • Medical Education
  • Pathology

Background:

  • Microscopic pathology diagnosis is a complex visual task.
  • Developing expertise requires understanding cognitive processes.
  • Current training methods may not fully address cognitive skill development.

Purpose of the Study:

  • Identify key features in developing expertise for microscopic pathology diagnosis.
  • Provide insights for creating effective computer-based pathology training systems.

Main Methods:

  • Information-processing and cognitive science methods were used.
  • 28 participants (novices, intermediates, experts) in breast pathology diagnosis.
  • Verbal 'think-aloud' protocols and visual data were analyzed.

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Main Results:

  • Expertise correlates with distinct search, perception, and reasoning patterns.
  • Key developmental steps include search strategy refinement and visual data interpretation.
  • Transitory reliance on explicit feature identification occurs during skill acquisition.

Conclusions:

  • Empirical cognitive model of competence for pathology diagnosis developed.
  • Findings will guide the creation of computer-based educational tools for pathology.