Skip to main content
2025 AABB Annual Meeting Main banner
Final Program


Icon Legend
This session is not in your schedule.
This session is in your schedule. Click again to remove it.
Event Icons
Assessor Sessions
Assessor Sessions
Committee Meetings
Committee Meetings
Foundation Events
Foundation Events
Networking Events
Networking Events
Oral Abstracts
Oral Abstracts
CABP Eligible
CABP Eligible
Video Recording

Educational Session

Information Technology and Informatics

AM25-ST-02-L - Understanding Generative AI: A Friendly Introduction for Medical Professionals

Saturday, October 25, 2025
8:15 AM - 9:15 AM  PT
Room: SDCC 25
CE: 1 CME (AMA Physician Credit) / 1 CE (Non-Physician Credit)

    Program Chair(s)

  • Hamilton C. Tsang, MD

    Associate Director of Transfusion
    Ochsner Medical Center
    Seattle, Washington

    Disclosure(s): Alphabet: Stock Shareholder (self-managed) (Ongoing); Amazon: Stock Shareholder (self-managed) (Ongoing); Embecta: Stock Shareholder (self-managed) (Ongoing); Johnson & Johnson: Stock Shareholder (self-managed) (Ongoing); Microsoft: Stock Shareholder (self-managed) (Ongoing); Nvidia: Stock Shareholder (self-managed) (Ongoing); Pfizer: Stock Shareholder (self-managed) (Ongoing); Roche: Stock Shareholder (self-managed) (Ongoing); VIATRIS: Stock Shareholder (self-managed) (Ongoing)

    Handouts

    • Speaker(s)

  • Chancey L. Christenson, MD MPH FCAP

    Director of the Blood Bank
    Mayo Clinic Florida
    Jacksonville , Florida

    Disclosure(s): No financial relationships to disclose

    Handouts

  • Ericka W. Narr, MA (she/her/hers)

    Senior Manager
    NMDP
    Saint Paul, Minnesota

    Disclosure(s): No financial relationships to disclose

    Handouts
Artificial Intelligence (AI) is no longer a distant future—it is an essential tool shaping business, healthcare, and daily workflows. Yet many professionals remain cautious about engaging with Generative AI, often due to uncertainty, common misconceptions, or a lack of familiarity with its capabilities. Designed for attendees at all experience levels—beginner, intermediate, and advanced—this session offers a structured introduction to Generative AI. Key concepts will be broken down, including a brief history of AI, essential terminology, and the fundamentals of Large Language Models (LLMs). This session will help participants craft better prompts, navigate AI marketplace options, and distinguish between different AI models .
The session will also explore real-world applications, from simple productivity-enhancing tasks to complex, multi-step AI workflows in healthcare and business. As these technologies become embedded in workplace operations, their influence extends beyond active users, subtly shaping professional environments and expectations. Generative AI is reshaping industries regardless of individual engagement, with AI-driven tools such as email summarization, automated meeting transcription, and algorithm-based content curation seamlessly integrating into daily workflows . Future hires and trainees are entering the workforce with AI fluency, raising expectations for AI literacy across industries. As AI-driven automation and augmentation become the norm, professionals will need a fundamental understanding of these technologies to remain competitive in an evolving workplace. Attendees will leave with a clear understanding of how AI is integrating into their fields, why AI literacy is becoming a necessity, and how to start leveraging these tools effectively—even if they have no prior experience. A live Q&A segment, including an interactive demo, will ensure practical takeaways for all participants.

Learning Objectives:

  • Define key concepts related to Generative AI, including the fundamentals of Large Language Models (LLMs) and essential terminology.
  • Demonstrate effective prompt engineering techniques to enhance AI-generated responses, optimize workflow efficiency, and navigate various AI tools such as ChatGPT-4o, Teams, and Copilot.
  • Evaluate practical applications of Generative AI in medical and business settings, identifying opportunities to leverage AI for documentation, workflow automation, and strategic decision support.