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Clinical Reasoning Uncertainty in Veterinary Medical Encounters with a Clinical Example
Kiro Risto Petrovski1,2, Roy Neville Kirkwood1
1School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA 5371, Australia.
Veterinary Sciences
|December 31, 2025
Summary
Medical uncertainty in veterinary practice significantly impacts clinical reasoning. Integrating uncertainty management into education and professional development is crucial for enhancing veterinary care and patient outcomes.
Area of Science:
- Veterinary Medicine
- Clinical Reasoning
- Professional Development
Background:
- Veterinary professionals encounter inherent medical uncertainties due to biological variability and incomplete knowledge.
- Distinguishing between clinical ambiguity and medical uncertainty is vital for effective coping strategies.
- Uncertainty, though often perceived negatively, can foster curiosity and improve problem-solving skills.
Purpose of the Study:
- To examine the complexities of medical uncertainty in veterinary practice.
- To highlight the implications of uncertainty for clinical reasoning and decision-making.
- To propose the Five Microskills model for managing uncertainty.
Main Methods:
- Narrative review of existing literature on medical uncertainty in veterinary medicine.
- Categorization of uncertainty into aleatoric and epistemic types.
- Inclusion of a case example demonstrating the Five Microskills model.
Main Results:
- Uncertainty influences clinical encounters, professional development, and client interactions.
- Veterinary education often lacks sufficient focus on uncertainty management, creating a competency gap.
- The Five Microskills model offers a structured approach to managing uncertainty.
Conclusions:
- Effective management of medical uncertainty is essential for improving veterinary care quality.
- Integrating uncertainty management into veterinary curricula and professional development is urgently needed.
- Addressing uncertainty enhances clinical reasoning, client relationships, and patient outcomes.
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