AM25-TU-14-L - Maximum Surgical Blood Order Schedule (MSBOS): Return on Investment, Implementation, and AI

Maximum Surgical Blood Ordering Schedule (MSBOS) has gained slow recognition as a safe and effective however implementation can be very difficult. For both anesthesiologists and surgeons, traditions more than data typically drive decision-making. In addition, it can be extremely difficult to obtain optimal data about blood transfusion rates and needs because of limitations of the various coding systems used for surgical interventions. Finally, change management presents another challenge when implementing new protocols. The goal of this session is to provide clear and concise information on the value of MSBOS, strategies for implementation across a spectrum of healthcare settings, and highlight the potential for Artificial Intelligence (AI) and Machine Learning (ML) for MSBOS programs.
Specific topics that will be covered include in-depth understanding of MSBOS, analytical resources for a data-driven MSBOS, implementation strategies, and the role AI and ML play in enhancing its effectiveness. We will explore the origin, purpose, and the benefits MSBOS provides to the healthcare system. The participants will gain a clear understanding of the role of MSBOS in efficient blood utilization and reduction of unnecessary compatibility testing, Best practices and case studies from hospitals that have successfully implemented MSBOS will be presented. Use of AI and ML technologies that can predict blood usage more accurately, streamline the blood ordering process, and reduce unnecessary compatibility testing will be demonstrated. Real-world examples of AI and ML in action will be provided to demonstrate their potential in transforming MSBOS. Healthcare today is facing many challenges and MSBOS has the potential to benefit these systems financially without sacrificing patient care at the same time it protects the scarce resources of our blood banks.