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STFM Podcast September 2024 Episode

The September 2024 episode of the STFM Podcast is titled "Master Adaptive Learning in Faculty Development" and features Drew M. Keister, MD. Listen on this page below or through a streaming platform.

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Faculty development is always evolving, and new faculty development techniques like Master Adaptive Learning (MAL) equip educators to adapt their teaching to fresh, evidence-based methods. In this episode of the STFM Podcast, Drew M. Keister, MD, shares the ongoing work of STFM’s Faculty Development Collaborative to develop faculty development competencies, and facilitate discussions on faculty development, competency-based medical education, as well as how to create an environment conducive to master adaptive learning.Hosted by Saria Carter Saccocio, MD, MHACopyright © Society of Teachers of Family Medicine, 2024

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Resources

List of STFM Collaboratives
The Master Adaptive Learner by Cutrer et a
Training Future Family Physicians to Be Master Adaptive Learners—FamilyMedicine
Envisioning the Master Adaptive Learner from the American Medical Association
Competency-Based Medical Education Toolkit
Why the Physician of the Future Is a Master Adaptive Learner from the American Medical Association
AMA Advocates for Support of Physician Mental Health Needs

Drew M. Keister, MD

Drew Keister, MD, is a Lehigh Valley native who returned to join the LVHN Family Medicine Department in 2008. He attended Cornell University and attended Penn State College of Medicine in Hershey, the sweetest place on Earth. He completed his residency at the Andrews Air Force Base (AFB), where he was introduced to the fundamentals of Osteopathy. He joined the faculty at Offutt AFB’s family medicine residency, in Nebraska. He attended the UNC Faculty Development Fellowship. Drew participated in the LVHN FM residency's P4 (Preparing the Personal Physician for Practice) national pilot experiment. He has served as the primary care clerkship director, the associate program director and program director. In 2017, he became vice chair for Education. He remains an active faculty member in the residency and has broadened his focus to include CME, fellowship programs, medical student education, predoctoral training, and the new family medicine residency in Schuylkill County. In addition, he has served as the vice chair of the STFM Faculty Development Collaborative and presents nationally on faculty development topics, especially around Master Adaptive Learning, Individualized Education Plans, and Competency-Based Medical Education.

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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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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.

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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.

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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.

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

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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.

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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.

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The Chat Assistant:

Cannot access external websites or open links
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Cannot access real-time information (like your STFM Member Profile information)

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STFM Podcast September 2024 Episode

Listen to All Episodes

Resources

Drew M. Keister, MD

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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