Listen Now:
Follow & Subscribe:
On This Episode:
In this episode of Airway Exchange, Jiale (Gary) Hu, PhD, RN, FAAN joins the conversation to explore how AI is reshaping the way we teach, learn, and prepare future CRNAs. He’s currently the Director of Research and Global Outreach in the Department of Nurse Anesthesia, and his scholarship focuses on enhancing knowledge translation in healthcare environments, with a lot of his current projects encompassing AI integration in healthcare education.
We’ll go beyond theory and into practical implementation of AI, like integrating AI literacy into the curriculum and building custom GPT tools for student handbooks. We also want to address the concerns many educators share: ethical use, institutional support, academic integrity, prompt engineering, and how to keep humans “in the loop.”
Rather than replacing educators, AI can automate repetitive tasks and augment creative work, freeing faculty to focus on leadership, mentorship, and higher-level thinking, and this conversation will help you better understand how to responsibly incorporate AI into your program.
Here’s some of what you’ll hear in this episode:
🤖 AI Literacy as a Core Skill - Why generative AI competence is becoming essential for healthcare professionals.
🧠 Prompt Engineering with the CARE Framework - Context, Action, Role, Expectations — a structured way to improve AI outputs.
📚 Integrating AI Across the Curriculum - Weaving AI literacy into existing courses rather than adding a standalone class.
🛠️ Custom GPT Tools for Educators - Building AI assistants for handbook navigation, exam item review, and more.
⚖️ Ethics, Accuracy & Human Oversight - Automation vs. augmentation and why faculty must stay in control.
Important Links:
“Generative AI can only give high-quality output based on your high-quality input."
