532 The Role of Data Analytics in Improving Blood Product Management

Introduction/Objective Effective blood product management is critical in trauma care, particularly in optimizing the use of liquid plasma. This study explores the role of data analytics in enhancing blood product utilization and reducing waste in a Level One Trauma Center. Methods/Case Report A retrospective analysis was conducted on 1,077 plasma units ordered for 258 trauma patients over two years. Data were collected on plasma ordering patterns, wastage rates, and patient outcomes before and after the implementation of liquid plasma. Statistical analyses were performed using SPSS to evaluate the impact of data analytics on blood management practices. Results The introduction of data analytics led to a 30% reduction in plasma wastage, decreasing from 45% in Year One (142 units wasted) to 25% in Year Two (191 units wasted) (p < 0.01). The average time from order to transfusion initiation improved from 60 minutes to 40 minutes, indicating enhanced efficiency in blood product management. Additionally, the analysis revealed that the overall volume of plasma transfused increased from 173 liters in Year One to 380 liters in Year Two, reflecting better utilization of available resources. Conclusion Implementing data analytics in blood product management significantly enhances efficiency and reduces waste. The findings suggest that real-time data tracking and analysis can facilitate better decision-making regarding blood product utilization, ultimately improving patient outcomes in trauma care. This approach can serve as a model for other healthcare facilities aiming to optimize their blood management practices.