TACTICAL COMBAT CASUALTY CARE (TCCC) AI DECISION SUPPORT SYSTEM
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Date
2026
Authors
Piltiai, Roman
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Abstract
Tactical Combat Casualty Care (TCCC) serves as the definitive standard for battlefield trauma management, yet the application of these protocols under high-stress combat conditions remains a significant challenge. Cognitive overload and lack of immediate expert guidance can lead to critical errors in pre-hospital care. This capstone project addresses this gap by engineering an Intelligent TCCC Tutor and Decision Support System tailored for dynamic environments. The proposed solution leverages a cloud-native, serverless architecture on Amazon Web Services (AWS) to ensure high availability, scalability, and low-latency performance. By integrating Generative AI and Large Language Models (LLMs), the system interprets complex user inputs and provides real-time, context-aware guidance aligned with the MARCH algorithm. The application was designed using modern software engineering principles, prioritizing modularity and enterprise-scale security standards. The resulting system demonstrates how advanced cloud computing and artificial intelligence can be effectively operationalized to enhance medical training and decision-making. This project not only delivers a functional prototype for tactical education but also establishes a reference architecture for future AI-driven systems in high-stakes domains.
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Keywords
Tactical Combat Casualty Care (TCCC), Artificial Intelligence, Generative AI, Decision Support Systems, Serverless Computing, Cloud Architecture
Citation
Piltiai, Roman. (2026). TACTICAL COMBAT CASUALTY CARE (TCCC) AI DECISION SUPPORT SYSTEM. Kyiv: American University Kyiv. URI: https://er.auk.edu.ua/handle/234907866/182