(P-BC-31) Elevating Platelet Product Collection Using Data Management

Background/Case Studies: Lifeline Blood Services implemented DXT Data Management System to address the growing need for efficient and reliable data handling in platelet product growth, specifically the need to improve split rate. This implementation aimed to enhance operational efficiency, improve data accuracy, and streamline the overall platelet collection process.

Study

Design/Methods: In April 2024, Lifeline Blood Services implemented data management into daily operations to utilize with the Amicus Separator devices (Fresenius Kabi). The study monitored the impact of DXT on operational efficiency and increases in platelet product collection. Key improvements included reducing documentation time, increasing platelet products collected per procedure, and providing teachable moments to operators for operational and collection enhancements. Donor Optimizer was used to determine the optimal collection per donor, ensuring that each donation was maximized for efficiency and yield. Over 5 periods (Jan 2024-Mar 2025), Lifeline Blood Services’ productivity was analyzed for improvement. During this time, additional operator training was provided to further improve skill.

Results/Findings: Prior to data management being implemented, the results of Period 1 showed single, double, and triple platelet products at 50%, 25%, and 25%, respectively (Table 1), with the primary focus on single platelet product collections. Once data management was implemented, in Period 2, the initiative shifted towards collecting more double and triple platelet product collection. The results of Period 2 reflected this change with single, double, and triple platelet products at 39.9%, 47.9%, and 11.6%, respectively. Over the next three periods (Period 3-5), Lifeline Blood Services significantly decreased the amount of single platelet product collections, and increased double and triple platelet product collections‒single collections were reduced by 14%, while double and triples platelet product collections increased by 5% and 19% respectively. Additionally, throughout all five periods, Lifeline Blood Services’ overall split rate increased from 1.75 to 1.97, a total increase of 12%, and the number of procedures resulting in no product collected decreased to 6.6% to 5.2% (data not shown).

Conclusions: By utilizing data management (Donor Optimizer), maximizing training initiatives, and improving donor experience, significant advancements in platelet collection efficiency and product output were achieved. The insights gained from this implementation highlight the transformative impact data management has had on platelet product growth and pave the way for even more growth in the future.