Mechanism-based diagnostic reasoning: thoughts on teaching introductory clinical pathology

Area of Science:

• Veterinary Education
• Clinical Pathology
• Medical Informatics

Background:

• Teaching clinical pathology requires moving beyond rote memorization to diagnostic reasoning.
• Expert pathologists utilize automated, unconscious cognitive processes developed through discrete stages.
• Veterinary students need structured learning to synthesize information for diagnostic conclusions.

Purpose of the Study:

• To develop and implement a case-based instructional approach for veterinary clinical pathology.
• To enhance student engagement and diagnostic reasoning skills through active learning.
• To leverage web-based tools to support the learning process and diagnostic skill development.

Main Methods:

• A case-based learning strategy was developed for introductory clinical pathology.
• Simulated clinical cases were used to provide context and structure (schema) for learning.
• Web-based tools, including a Problem List Generator and tutorials, were integrated.

Main Results:

• The case-based approach actively engages students in learning.
• The "schema" created by simulated cases aids in synthesizing facts and causal mechanisms.
• Web-based tools facilitate the diagnostic reasoning process.

Conclusions:

• The developed case-based approach effectively promotes diagnostic reasoning in veterinary students.
• Further development and evaluation of web-based tools are ongoing.
• The ultimate goal is to improve the diagnostic capabilities of future veterinarians.