AM24-ST-07-O: Preparing for the Data Deluge: Mitigating the Informatics Challenges of Expanded RBC Genotyping Data (Enduring)

Advances in molecular techniques for Red Blood Cell (RBC) genotyping and phenotyping are improving blood transfusion compatibility significantly for Sickle Cell Disease (SCD) patients and others requiring chronic transfusions. This marks a major milestone in transfusion medicine, offering improved patient-donor matching and better outcomes, while it introduces informatics challenges in using patient genotyping information for donor unit selection from inventory. Expanded RBC phenotyping data—which covers over 1,500 genomic features across more than 40 blood group systems—requires sophisticated data management in Electronic Health Records (EHRs), Blood Bank Laboratory Information Systems (BBLIS), and Blood Establishment Computer Systems (BECS). The current systems used by both hospital blood banks and donor centers do not support this level of substantive interoperability. Improving the informatics surrounding expanded phenotyping and genotyping can amplify the benefits of these molecular approaches and drive increased usage. This presentation will use case studies of SCD patients to highlight the benefits of expanded phenotypes in identifying donor units and expose informatics challenges in integrating and sharing this data. It will outline practical solutions for immediate use and future improvements, with an emphasis on standardized vocabulary, shared semantics, interoperability, and the application of machine learning/artificial intelligence for enhanced donor-patient matching. Collaborative innovation in informatics and standardized practices will establish the foundation for the full potential of molecular genotyping. This talk will guide transfusion medicine professionals in navigating these complexities and ensuring that technological progress in genotyping translates into clinical benefits for patients.