Polytrauma Decision Support System for Pelvic and Abdominal Traumatic Injuries
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. Those who survive often suffer long-term disabilities, making prompt diagnosis and treatment crucial. 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. With so much diverse data available, making accurate decisions in a fast-paced emergency room environment is a challenging task for clinicians. Among the medical data available for clinical decision-making, information contained in the pelvic and abdominal CT scans is most important for both assessment of severity and prognosis of such injuries. A computer-assisted decision support system 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. While decision making based on only simple types of medical data such as lab results and demographics is not an easy task, clinical decision-making shows its true complexity when one is trying to integrate more complex types of patient data such as biomedical images with other types of data discussed above. 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.