The accreditors of this session require that you periodically check in to verify that you are still attentive.
Please click the button below to indicate that you are.
LL-MR-19-SN4-29-19
Manage Your Resources: Transfusion Medicine Informatics for Patient Blood Management
Credits
1.5 General Continuing Education (GEN) | 1.5 Florida Lab Personnel (FLP) | 1.5 California Lab Personnel (CLP)
Explore related products in the following collection:
The Leadership & Administrative Subsection of the AABB Transfusion Medicine Section hand selected relevant leadership and management programs and compiled them into one collection just for you…
2019 AABB Annual Meeting Session
This session will discuss transfusion medicine informatics approaches for patient blood management (PBM) in 3 different hospital systems. A foundation will be provided for understanding the components of an analytics data warehouse for PBM and how raw, non-discrete data may be transformed to discrete data for analysis. Details on implementation of blood orders with clinical decision support and for patient populations that have special transfusion requirements will be presented. Novel methods for modeling inventory use and predicting patient response will be discussed. The effect of clinical decision support as well as interactive dashboards and provider-specific reports on blood utilization will be demonstrated. Finally, an analytic approach evaluating blood utilization at multiple levels within a hospital system using a risk-adjustment methodology will be presented.
Learning Objectives:
Describe the process of data extraction and the impact of database structures and data analytics on the clinical environment.
Discuss implementation of interactive dashboards with provider-specific reports and blood ordering with clinical decision support.
Demonstrate how different transfusion medicine informatics tools affect blood utilization.
Consider how to analyze and risk-adjust blood utilization at multiple levels.
This session focuses on new FDA-approved gene therapies for sickle cell disease (SCD) and the critical aspects of coordinating care for gene therapy, including an approach to transfusion support and maximizing stem cell collections…
Experts in transfusion medicine, businesses, and blood systems agree on the need for a national alloantibody registry to prevent delayed hemolytic transfusion reactions and improve patient safety…
Applications of novel state-of-the-art data science techniques, such as artificial intelligence/machine learning, multi-omics, and “big data” linkage analytics in Blood Banking and Transfusion Medicine (BB/TM), are still in their relative infancy…
How to Claim CE Credit
Complete the evaluation found on the "CE Information" tab after watching the video. By submitting the evaluation, you are attesting to watching the presentation in its entirety.