Explanatory models in neonatal intensive care: a tutorial.

Area of Science:

• Medical Education
• Clinical Physiology
• Computational Medicine

Background:

• Acute care providers face challenges with complex patient physiology and information overload from traditional educational tools.
• Causal chain explanations have limitations in complex physiological systems.
• A new educational technology is introduced to simplify understanding and reasoning in clinical settings.

Purpose of the Study:

• To introduce a novel concept and educational technology for intuitive understanding of complex physiology.
• To facilitate clinical reasoning and communication among healthcare providers.
• To explore the utility of explanatory models in medical education.

Main Methods:

• Developed an explanatory model (EM) representing physiological processes, interventions, and pathologies.
• Adapted a conceptual model of the neonatal cardiorespiratory system for Transposition of the Great Arteries (TGA).
• Implemented the model in interactive, animated software for educational use.

Main Results:

• The software illustrates relationships between interventions and monitored variables in neonates with TGA.
• Learners can explore clinical scenarios and the effects of therapeutic interventions.
• The explanatory model provides insights into complex physiological interdependencies.

Conclusions:

• Explanatory models show potential as mental models for clinical practice.
• These models may aid clinical decision-making in neonatal intensive care and other fields.
• The developed educational technology offers a promising approach to complex physiological understanding.