Ideal treatment of trauma, especially that which is sustained during military combat, requires rapid management to optimize patient outcomes. Medical transport teams `scoop-and-run' to trauma centers to deliver the patient within the `golden hour', which has been shown to reduce the likelihood of death. During transport, emergency medical technicians (EMTs) perform numerous procedures from tracheal intubation to CPR, sometimes documenting the procedure on a piece of tape on their leg, or not at all. Understandably, the EMT's focus on the patient precludes real-time documentation; however, this focus limits the completeness and accuracy of information that can be provided to waiting trauma teams. Our aim is to supplement communication that occurs en-route between point of injury and receiving facilities, by passively tracking and identifying the actions of EMTs as they care for patients during transport. The present work describes an initial effort to generate a coordinate system relative to patient's body and track an EMT's hands over the patient as procedures are performed. This `patient space' coordinate system allows the system to identify which areas of the body were the focus of treatment (e.g., time spent over the chest may indicate CPR while time spent over the face may indicate intubation). Using this patient space and hand motion over time in the space, the system can produce heatmaps depicting the parts of the patient's body that are treated most. From these heatmaps and other inputs, the system attempts to construct a sequence of clinical procedures performed over time during transport.