Scott Fields Lecture

The Scott Fields Lecture was established in 2021 as a program component of each STFM Conference on Medical Student Education to honor the generosity and body of work of Scott A. Fields, MD, MHA, to STFM.

Past Scott Fields Lectures

2024–2026
2021–2023
  • 2026: “Unlocking Gentelligence” by Megan W. Gerhardt, PhD, Miami University's Farmer School of Business
  • 2025: “In Pursuit of Fairness: Overcoming Bias in Assessment” by Karen Hauer, MD, PhD, University of California, San Francisco
  • 2024: “Shaping the Future of AI: The Critical Role of Medical Educators” by Winston Liaw, MD, MPH, University of Houston
  • 2023: “The Weight of Bias: Anti-Fat Bias, Health, and Medical Education” by Lisa Erlanger, MD, University of Washington
  • 2022: “I See You: Connection at the Crossroads” by Belinda Fu, MD, University of Washington
  • 2021: “The Intersection of Racism & Race-based Medical Decision Making in Medical Education” by Bonzo Reddick, MD, MPH, Mercer University

More About Dr Scott Fields and Vikki Fields

In appreciation and recognition of his leadership and generous contributions of time, talent, and resources to medical student education, the Society of Teachers of Family Medicine (STFM) and the STFM Foundation created the Scott Fields Lecture to take place each year at the STFM Conference on Medical Student Education. Scott A. Fields, MD, MHA, is a national leader in medical student education and the former vice chair of the Department of Family Medicine at Oregon Health & Science University.Dr Fields has been a major contributor to the advancement of the Society of Teachers of Family Medicine and a national leader in medical student education. Dr Fields and his wife Vicki Fields recently provided a generous donation to the STFM Foundation, 90% of which will be placed in the Foundation’s unrestricted endowment administered and managed by the STFM Foundation. The remaining 10% will support the 2020 Foundation General Fund. Funds, to be drawn annually from the Foundation, support the honoraria and travel of the conference’s plenary speaker.The STFM Conference on Medical Student Education is an annual conference bringing together medical students and family medicine care teams to create a stronger future in family medicine medical student education, while exploring topics such as the diversification of the family medicine workforce, racism and health equity in health systems, and the incorporation of foundational skills, innovations, and best practices.

Contact Us

11400 Tomahawk Creek Parkway

Leawood, KS 66211

(800) 274-7928

stfmoffice@stfm.org 

 

 

Events

July 22, 2026, 1 pm eastern: Equitable Advisors Webinar: "How to Keep More of What You Make: Managing Your Tax Bracket"

August 26, 2026, 1 pm eastern: Webinar: "Using Mobile Apps for Competency-Based Direct Observation and Outcome Assessment"

August 31–September 2, 2026: STFM Conference on Practice & Quality Improvement

September 14, 2026, 3 pm eastern: Webinar: "Rural Health Government Update with Nina DeJonghe, MPP"

October 2, 2026, 1 pm eastern: Webinar: "Tracks and Areas of Concentration in Family Medicine Residencies: History, Evolution, and Impact"

February 5–7, 2027: STFM Conference on Medical Student Education

May 1–5, 2027: STFM Annual Spring Conference

Deadlines

June 30, 2026: Apply for H. Winter Griffith Resident Scholarship

July 1, 2026: Apply to Serve on Steering Committee of STFM Conference on Practice & Quality Improvement

July 24, 2026: Self-Nominate for Openings on STFM Board of Directors

July 31, 2026: Apply to Serve as Resident or Student Representative on STFM Board of Directors

August 18, 2026: Apply to Join STFM Medical Student Educators Development Institute Fellowship

August 31, 2026: Submit 60-Word Stories to Be Published in Family Medicine for STFM's 60th Anniversary

August 31, 2026: Nominate Yourself or Another Member for STFM Bishop Society

September 4, 2026: Submit to Present at 2027 STFM Annual Spring Conference

October 1, 2026: Nominate Mentors for STFM 60th Anniversary Mentor Recognition Award

Useful Links

Ask a Question
AI Chatbot Tips

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)

STFM AI Assistant
Disclaimer: The STFM Assistant can make mistakes. Check important information.