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Bonus Conference Episode: STFM Annual Spring Conference 2024 Closing Session

Generative AI for Research and Education: From Theory to Practice

Presented by Tanner Dean, DO, University of Kansas, Wichita
STFM Annual Conference 2024 Closing Session | Wednesday, May 8, 2024 

Generative AI, especially tools like ChatGPT, is changing medicine. In this talk, we'll explore ChatGPT's background, its underlying mechanics, and its strengths and weaknesses. Beyond mere understanding, we will explore frameworks needed to safely and efficiently use this technology. Grasping the AI behind ChatGPT as well as best practices will enable us to look at practical uses in primary care research and teaching. This includes using AI for quick Q&A sessions, help in writing, creating visuals, summarizing articles**, and exploring its broader potential.

The future of medical education will blend traditional teaching with AI tools. It's vital for today's educators to have working knowledge of these new technologies. This talk urges primary care professionals to not just watch, but actively join in the AI revolution. By equipping the educators, this talk hopes to inspire participants to dive in to discover the simple yet powerful ways AI can boost their work in medicine. Participants should walk away with a introductory understanding of ChatGPT works, how they can write effective prompts and several ways they can use ChatGPT in their practice.

Learning Objectives: At the end of the session each participant should...

  • Explain the methodology and principles behind how ChatGPT is trained.
  • Identify common pitfalls and limitations associated with ChatGPT and similar AI models.
  • Recognize several various potential uses of ChatGPT in a research and teaching environment.
  • Discuss the predicted trajectory and role of ChatGPT in the future landscape of primary care research and education.

Presentation Slides

Copyright © Society of Teachers of Family Medicine, 2024

Tanner Dean, DO: 

Dr. Tanner Dean is an Assistant Professor of Internal Medicine at the KU School of Medicine in Wichita. Trained as a Doctor of Osteopathic Medicine from A.T. Still University, he completed his Residency in Internal Medicine at KUMC-Wichita. Dr. Dean's unique blend of clinical acumen is further enriched with a certification in Artificial Intelligence (AI) from the American Board of Artificial Intelligence in Medicine. He teaches students both on rotation in the hospital as well as leads the 3rd year neurology clerkship for the KU School of Medicine - Wichita.  His research stands at the confluence of technology and medicine. Notably, he has undertaken innovative projects to enhance clinical care through technological advancements. A central theme of his current investigations is understanding physician perceptions of AI in healthcare and the potential of large language learning models in all aspects of medical practice, research, and education. Dr. Dean is very optimistic about AI in healthcare and is working on building the educational structures to equip educators and physicians of the future with the confidence and knowledge to use AI in their medical practice.

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Events

January 30–February 2, 2025: STFM Conference on Medical Student Education

February 11, 2025, 11:30 am CST: Webinar: Planning for the Future: Personal Finance Education with Equitable’s Stephen Dunbar

February 28, 2025, 11 am CST: Webinar: Addressing the Residency Continuity Requirement: A Panel Discussion to Share Successes and Barriers

May 3–7, 2025: STFM Annual Spring Conference

September 8–10, 2025: The 2025 STFM Conference on Practice & Quality Improvement

Due Dates

February 4, 2025: Deadline for Presentation Proposals for 2025 Conference on Practice and Quality Improvement

February 15, 2025: Applications Due for BFEF Scholarly Project Director

February 17, 2025: Submissions for the 2025 Poetry and Prose Contest Due

February 25, 2025: Apply for CERA Associate Program Director Chair

February 25, 2025: Apply for CERA General Membership Survey Chair

February 25, 2025: Applications Due for CERA Fellowship

February 25, 2025: CERA Clerkship Director Survey Proposals Due

February 28, 2025: Family Medicine Advocacy Summit Scholarship Applications Due

March 4, 2025: Medical Student Educators Development Institute (MSEDI) Applications Due

April 1, 2025: Early Bird Deadline for STFM Annual Spring Conference Registration

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STFM's AI Assistant is designed to help you find information and answers about Family Medicine education. While it's a powerful tool, getting the best results depends on how you phrase your questions. Here's how to make the most of your interactions:

1. Avoid Ambiguous Language

Be Clear and Specific: Use precise terms and avoid vague words like "it" or "that" without clear references.

Example:
Instead of: "Can you help me with that?"
Try: "Can you help me update our Family Medicine clerkship curriculum?"
Why this is important: Ambiguous language can confuse the AI, leading to irrelevant or unclear responses. Clear references help the chatbot understand exactly what you're asking.

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Try: "I'm a new program coordinator for a Family Medicine clerkship. What STFM resources are available to help me design or update clerkship curricula?"
Why this is better: Providing details about your role ("program coordinator") and your goal ("design or update clerkship curricula") gives the chatbot enough context to offer more targeted information.

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Provide Necessary Details:The STFM AI Assistant has been trained on STFM's business and resources. The AI can only use the information you provide or that it has been trained on.

Example:
Instead of: "How can I improve my program?"
Try: "As a program coordinator for a Family Medicine clerkship, what resources does STFM provide to help me improve student engagement and learning outcomes?"
Why this is important: Including relevant details helps the AI understand your specific situation, leading to more accurate and useful responses.

4. Reset if You Change Topics

Clear Chat History When Switching Topics:

If you move to a completely new topic and the chatbot doesn't recognize the change, click the Clear Chat History button and restate your question.
Note: Clearing your chat history removes all previous context from the chatbot's memory.
Why this is important: Resetting ensures the AI does not carry over irrelevant information, which could lead to confusion or inaccurate answers.

5. Provide Enough Context

Include Background Information: The more context you provide, the better the chatbot can understand and respond to your question.

Example:
Instead of: "What are the best practices?"
Try: "In the context of Family Medicine education, what are the best practices for integrating clinical simulations into the curriculum?"
Why this is important: Specific goals, constraints, or preferences allow the AI to tailor its responses to your unique needs.

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Break Down Complex Queries: If you have multiple questions, ask them separately.

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Try: Start with "What are the faculty development requirements for Family Medicine educators?" Then follow up with your other questions after receiving the response.
Why this is important: This approach ensures each question gets full attention and a complete answer.

Examples of Good vs. Bad Prompts

Bad Prompt

"What type of membership is best for me?"

Why it's bad: The AI Chat Assistant has no information about your background or needs.

Good Prompt

"I'm the chair of the Department of Family Medicine at a major university, and I plan to retire next year. I'd like to stay involved with Family Medicine education. What type of membership is best for me?"

Why it's good: The AI Chat Assistant knows your role, your future plans, and your interest in staying involved, enabling it to provide more relevant advice.

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While the AI Chat Assistant is a helpful tool, it can still produce inaccurate or incomplete responses. Always verify critical information with reliable sources or colleagues before taking action.

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STFM AI Assistant
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