Multimodal monitoring, which integrates data from multiple physiological sensors for individualized patient management, is increasingly used in civilian traumatic brain injury care. We hypothesized that this technology could be adapted for battlefield use with a noninvasive sensor suite and an AI-driven patient management guidance system. Collaborating with military medical personnel, we developed a hand-held system tailored to neurocritical care in combat settings. To optimize sensor selection, we introduced a Value-Burden Analysis, assessing both clinical utility and deployment feasibility, resulting in a weighted score based on the Role of Care. We evaluated 17 sensors and designed a modular guidance system incorporating interoperable components, a Knowledge Base, and AI-driven decision support aligned with Clinical Practice Guidelines for Traumatic Brain Injury in Prolonged Care. A prototype demonstrated feasibility, successfully simulating physiological inputs to match current guideline recommendations. This adaptable, modular system can integrate evolving sensors, resources, and clinical protocols, with ongoing validation through simulated scenarios.