STFM Podcast Bonus Conference Episode

2024 Annual Spring Conference Closing Session

As a special episode of the STFM Podcast, listen to an audio recording of the closing general session of the 2024 STFM Annual Spring Conference: "Generative AI for Research and Education: From Theory to Practice" by Tanner Dean, DO, University of Kansas, Wichita.

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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

Upon completion of this session, participants should be able to:

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.

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Tanner Dean, DO

Tanner Dean, DO, 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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Tips for Using STFM's AI Assistant

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.

2. Use Specific Terms

Identify the Subject Clearly: Clearly state the subject or area you need information about.

Example:

Instead of: "What resources does STFM provide?"

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.

3. Don't Assume the AI Knows Everything

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.

6. Ask One Question at a Time

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

Example:

Instead of: "What are the requirements for faculty development, how do I register for conferences, and what grants are available?"

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.

Double Check Important Information

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.

Technical Limitations

The Chat Assistant:

Cannot access external websites or open links
Cannot process or view images
Cannot make changes to STFM systems or process transactions
Cannot access real-time information (like your STFM Member Profile information)

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2024 Annual Spring Conference Closing Session

Wednesday, May 8, 2024

Learning Objectives

Listen to All Episodes

Tanner Dean, DO

Contact Us

Events

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AI Chatbot Tips

Tips for Using STFM's AI Assistant

1. Avoid Ambiguous Language

Example:

2. Use Specific Terms

Example:

3. Don't Assume the AI Knows Everything

Example:

4. Reset if You Change Topics

5. Provide Enough Context

Example:

6. Ask One Question at a Time

Example:

Examples of Good vs. Bad Prompts

Bad Prompt

Good Prompt

Double Check Important Information

Technical Limitations

STFM AI Assistant