MEDICAL & CASUALTY EVACUATION
Responses due by December 1, 2026
Current Capability Needs
Product Knowledge is actively soliciting demonstrable capabilities aligned to specific US Department of War-identified interest areas; companies and developers with mature or near-term solutions should submit inquiries via email to guru@productknowledge.cc and include the following information as a single consolidated submission: Company Name, Company Address, Company Point of Contact, POC email address and phone number, a concise two-page capability description, representative images, and videos of the capability; briefing decks or existing marketing materials may be included as supplemental attachments.
Submissions should focus on practical, employment-ready capabilities rather than conceptual research or long-term development efforts.
Exercise Combined Resolve
Medical & Casualty Evacuation capabilities enable commanders to preserve combat power by extending lifesaving care and evacuation reach forward in contested, high-tempo environments. By integrating shelf-stable blood products, autonomous evacuation platforms, AI-assisted triage, and mobile medical facilities, these capabilities reduce dependence on permissive airspace and uninterrupted evacuation corridors. In large scale combat operations (LSCO), they sustain survivability by enabling prolonged field care, maintaining evacuation timelines despite enemy interdiction, and synchronizing medical support across dispersed formations, ensuring forces can continue operations while minimizing preventable loss of life.
a. Freeze-Dried Plasma
Freeze-dried plasma (FDP) provides a shelf-stable, rapidly reconstitutable blood product that enables forward resuscitation without refrigeration. Its durability and compact form allow medics and small units to carry lifesaving plasma during extended operations.
Operationally, FDP increases survivability when evacuation timelines are delayed by enemy fires, UAS threats, or degraded air corridors. It supports prolonged field care and aligns with FM 4-02 by enabling early hemorrhage control in austere, contested environments.
b. Uncrewed, Automated MEDEVAC System
Uncrewed automated MEDEVAC systems use autonomous air or ground platforms to extract casualties without exposing crews. Equipped with stabilization systems and secure comms, they navigate to casualty points even in GPS-degraded or high-threat areas.
Operationally, they preserve medical evacuation capacity when crewed platforms cannot launch due to air defense threats or environmental hazards. They sustain evacuation timelines during LSCO and reduce risk to medical personnel while increasing overall endurance of medical support.
c. AI-Assisted Triage and Treatment
AI-assisted triage tools analyze vitals, sensor feeds, and trauma indicators to help medics prioritize care. They provide rapid diagnostic recommendations in high-stress, multi-casualty situations.
Operationally, these tools reduce preventable deaths by accelerating life-saving interventions. They support FM 4-02 by improving triage accuracy under pressure and providing decision support during mass-casualty events in LSCO.
d. Modular Medical Container System
Modular medical container systems provide scalable, transportable Role 1–2 facilities with integrated utilities and equipment. Their modularity enables rapid setup and reconfiguration based on casualty load and mission requirements.
Operationally, these systems allow medical units to jump frequently, supporting survivability and proximity to maneuver formations. They reduce evacuation distances and improve treatment timelines, reinforcing distributed medical support principles.
e. AI-Assisted Patient Evacuation Coordination Cells
AI-assisted evacuation tools analyze patient flow, platform availability, medical capacity, and air/ground routes to optimize evacuation planning. They dynamically update as conditions change across the AO.
Operationally, these systems reduce bottlenecks and ensure timely evacuation despite contested terrain or simultaneous operations. They enhance coordination across roles of care and strengthen the medical C2 architecture under FM 4-02.
f. AI-Assisted Predictive CL VIII Ordering System
Predictive Class VIII systems forecast medical supply needs using operational tempo, casualty projections, and historical consumption patterns. They automatically generate recommended resupply orders before shortages occur.
Operationally, predictive medical logistics reduce risk of supply depletion during high-casualty operations and minimize excessive stockpiling. They improve sustainment accuracy and readiness across distributed medical nodes.
