Title |
Conceptualization of category-oriented likelihood ratio: a useful tool for clinical diagnostic reasoning
|
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Published in |
BMC Medical Education, November 2011
|
DOI | 10.1186/1472-6920-11-94 |
Pubmed ID | |
Authors |
Hamideh Moosapour, Mohsin Raza, Mehdi Rambod, Akbar Soltani |
Abstract |
In the diagnostic reasoning process medical students and novice physicians need to be made aware of the diagnostic values of the clinical findings (including history, signs, and symptoms) to make an appropriate diagnostic decision. Diagnostic reasoning has been understood in light of two paradigms on clinical reasoning: problem solving and decision making. They advocate the reasoning strategies used by expert physicians and the statistical models of reasoning, respectively. Evidence-based medicine (EBM) applies decision theory to the clinical diagnosis, which can be a challenging topic in medical education.This theoretical article tries to compare evidence-based diagnosis with expert-based strategies in clinical diagnosis and also defines a novel concept of category-oriented likelihood ratio (LR) to propose a new model combining both aforementioned methods. |
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