Medical Student Educators Development Institute

Faculty

Chair

Rebecca Cantone, MD

Dr. Cantone is an Assistant Dean of UME Student Affairs and ex-Director of Student Education and Clerkship Director for Family Medicine at the Oregon Health & Science University (OHSU) in Portland, Oregon. She completed a leadership track and chief residency at the University of California-Davis Family and Community Residency Program. Shortly after joining faculty at OHSU, she began teaching and mentoring medical students, leading educational discussions and didactics across all years of medical school, and had the opportunity to serve as the Director of Advising for FM. She continued to be recruited for teaching roles in the MD and PA programs, and completed the STFM Emerging Leaders Fellowship and OHSU’s Education Scholars Program. She focuses on expanding training for treatment of substance use disorders and transgender health and is passionate about student-centered education, career development, and professional identity formation.

Sean Robinson, MD

Sean Robinson, MD, grew up in Salt Lake City, UT and completed his undergraduate degree at the University of Utah in Material Science and Engineering. He went to the Medical College of Wisconsin for medical school, was matched to the family medicine residency at Oregon Health & Science University followed by a sports medicine fellowship at OHSU. For over 7 years he served in the OHSU School of Medicine College Learning Community. Within his department, he was appointed to serve as the Department of Family Medicine Director of Sub-Internship and Electives, which he has sustained for the past 7 years. He currently serves as the chair of the undergraduate medical education curriculum committee. In 2021, he was appointed to lead the departmental education mission as director of student education. He is the head team physician at Lewis and Clark College where he has served for the last 5 years.

 

 

Dan Sepdham, MD

After residency at the UT Health Science Center in San Antonio, I served in the US Air Force. In 2006, I joined UT Southwestern Medical Center. I was fortunate my department chair was a proponent of medical student education. My introduction to undergraduate medical education (UME) came through a departmental “boot camp” as well as one of the earliest MSEDI fellowships. These foundational experiences led to subsequent roles as FM Clerkship Director and FM Interest Group Advisor among others. My most extraordinary privilege is serving as a small group mentor. Each year, I am assigned a group of MS1 students and meet with them regularly throughout medical school. Medical student education is the highlight of my career. Yet, it is entirely possible I could have missed out on it all, if not for my mentors and STFM. I am eternally grateful. I hope you will also find joy in UME.

Matthew Holley, PhD

Matthew Holley, PhD is an assistant professor of clinical family medicine at the Indiana University School of Medicine where he also serves as the vice-chair for faculty & staff affairs and professional development. In addition, he serves as the associate director for the Academy of Teaching Scholars within the division of Faculty Affairs and Professional Development. His academic research is in the areas of medical student education, faculty development, inclusive teaching practices, and healthcare disparities with a particular focus on sexual and gender minorities. Originally from Illinois, Matt has an extensive background in leadership development through his previous work with nonprofit organizations. His work and commitment to community service has earned him the Indiana University Trustees Teaching Award, IUSM Inspirational Educator Award, the Indianapolis Business Journal’s 40 Under 40 award, and the Indiana Governor’s Award for Tomorrow’s Leaders. 

 

 

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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.

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