DARPA is soliciting innovative research proposals to provide de-identified clinical trauma data in support of a potential follow-on DARPA program. The Research Infrastructure for Trauma with Medical Observations (RITMO) program will combine large-volume multimodal sensor, intervention, and medical outcome data obtained from trauma patients during the early post-injury period into a single database. If the follow-on program is initiated, the goal would be to use data collected in RITMO to identify novel physiological signatures that could enhance triage decision-making in austere, complex, and mass-casualty settings.
RITMO seeks to develop retrospective and prospective trauma datasets that will enable future identification of physiological features (“signatures”) of injury that predict medical needs. Development of these injury signatures could help medical responders perform scalable, timely, and more accurate triage, especially in mass casualty incidents (MCIs), when medical resources are limited relative to the need. Potential approaches include medics placing small, noninvasive sensors on casualties that continuously and autonomously monitor for predictive signatures, relaying the information to other devices that alert medics when life-saving interventions (LSIs) are anticipated.
DARPA anticipates a follow-on program that would bring together multi-disciplinary teams and industries to use the data collected under RITMO to develop algorithms and systems that interpret physiological signatures and sensor strategies for complex MCI settings. In preparation for this possible effort, DARPA is soliciting proposals via this BAA for de-identified large-volume, multimodal sensor data and related medical outcomes from trauma patients
– Proposal abstracts due 20 July 2022; full proposals due 1 September 2022