Trauma is the leading cause of death among Americans under 44. The mortality rate for patients with pelvic injuries is increased by the risk of further complications, especially severe hemorrhage. However, even a single trauma patient generates large volumes of information, including vital signs, injury severity scores, demographic details, lab reports, and in particular, complex medical images such as CT scans and X-rays—all of which impact diagnosis and treatment, as well as costs. A computer-assisted decision support system (DSS) capable of rapidly analyzing large volumes of patient information to generate accurate treatment recommendations and outcome predictions has the potential to improve both patient care/survival and resource utilization. The proposed Decision Support System (DSS) technology is envisioned to significantly improve pelvic/abdominal trauma decision-making using facilitated and prompt analysis of complex and heterogeneous patient medical data.
The current project will extend the algorithms of our DDS technology to:
- Integrate our algorithms and methods for analysis of data for pelvic/abdominal injuries with those of TBI such that the resulting DDS software can be used in polytrauma cases.
- Further develop the planned software implementation of our technology as a user-friendly software tool to be used in the clinical setting.