Product Code: 27EL-708-2035
Please note: This is a Single Viewer eCast registration for one participant for this eCast for both the live and on-demand version of this eCast. If you are interested in presenting this program to a group, please see the “eCast Registration Form– Group Viewing” form on the eCast program page.
Access instructions for the live eCast will be provided via email approximately 2-3 business days prior to the live program date. Access instructions for the on-demand version of this program will be provided via email approximately 3-10 business days after the live program has occurred and the on-demand version is available.
Program Description: This eCast provides a practical introduction to artificial intelligence and AI chatbots for transfusion medicine professionals. Rather than focusing only on general-purpose chatbots, the program will place chatbots within the broader AI landscape, including rules-based systems, predictive models, generative AI, retrieval-augmented generation, and tool-assisted workflows. The program will emphasize choosing the right type of AI for the task, reducing cognitive burden by assigning repetitive and high-dimensional checks to computers, and preserving professional judgment for exceptions, communication, and final review.
The program will use published transfusion medicine chatbot studies, practical demonstrations, and case-based examples to show both promise and risk. Examples will include AI-assisted education, literature and policy review, transfusion reaction classification, RhD product-selection questions, therapeutic plasma exchange consultation support, and a SmartRBC demonstration showing how deterministic rules-based serology workflows can be paired with non-deterministic chatbot-style review for completeness and sign-out readiness. The program will also discuss how generative AI can help domain experts write more complete rules, identify edge cases, draft test cases, and build more robust validated software. The overall goal is to help learners move beyond hype or fear toward safe, realistic implementation.