Ein Physiologiemodell für Tactical Combat Casualty Care Training in mobilen Serious Games

This research presents the development and implementation of a specialized physiological model designed to enhance Tactical Combat Casualty Care (TCCC) training through mobile serious games. Addressing the critical need for accessible, resource-efficient training for military personnel, the model aims to improve survival rates during the "golden hour" by simulating complex trauma scenarios, such as hemorrhage, respiratory distress, and thermoregulation. By moving beyond the limitations of static, script-based systems, the project establishes a dynamic, mathematically rigorous framework capable of reflecting real-time physiological responses to both correct and erroneous medical interventions.

The model utilizes a three-layered, object-oriented architecture that decouples domain-specific physiological data from the simulation engine. This structure integrates cardiovascular, respiratory, endocrine, and sensory systems, employing established physical laws—such as the Hagen-Poiseuille law for hemodynamics and gas exchange algorithms—to calculate vital signs and patient status. The system accounts for environmental factors and specific injury patterns, allowing for the simulation of complex conditions like tension pneumothorax or hypovolemic shock. By incorporating standardized TCCC protocols and medical equipment, the simulation provides a high-fidelity environment for trainees to practice diagnostic assessments and life-saving procedures.

Validation of the model was conducted through a multi-phase approach involving subject matter experts, technical sensitivity analyses, and plausibility checks. While the study acknowledges the inherent subjectivity in validating biological systems and the necessity of adapting to evolving training requirements, the resulting framework offers a robust, scalable solution for military medical education. The research concludes that this modular, Java-based engine successfully bridges the gap between complex academic physiological modeling and the practical, performance-oriented demands of mobile serious games, providing a foundation that can be extended to civilian emergency training and advanced medical scenarios.