Key Initiatives

Professionalism in Family Medicine Education Initiative

The STFM Professionalism in Family Medicine Education Initiative

An STFM Professionalism in Family Medicine Education Task Force, chaired by STFM Past President Joe Gravel, MD, is working on the following tactics to support family medicine faculty as they seek to teach professionalism in an era where physicians are challenged with upholding the best interests of patients while taking into account the goals of the institutions or practices that employ them. 

Convene a Professionalism in Family Medicine Summit
The 2025 Professionalism in Family Medicine Summit brought together leaders from family medicine residency and academic departments, certifying and accrediting bodies, and professional societies to reexamine the meaning, teaching, and assessment of professionalism in an era of rapid cultural and systemic change. Over two days, participants identified opportunities for innovation and collaboration, and brainstormed strategies for embedding professionalism in both training and practice.

Summit goals were to:

  • Discuss future directions for family medicine professionalism expectations
  • Develop strategies for faculty and physician education/development
  • Get input on future curriculum
  • Identify opportunities for collaboration
  • Define next steps

The Summit was co-sponsored by the American Medical Association and funded by a grant from the ABFM Foundation.

Develop and release professionalism curriculum for residents and third- and fourth-year medical students
The scenario-based curriculum will cover:

  • The founding principles of family medicine
  • How to identify and mitigate inherent business/medical professionalism conflicts
  • How to maintain integrity in settings that are more systems-focused than patient-focused
  • When and how to advocate for change

Identify or create competency-based assessment tools
The task force will identify or create strategies to assess learners and faculty.

Deliver faculty development
Faculty development will be done through:

  • Conference presentations
  • Virtual training sessions (webinars)
  • Faculty Development Delivered workshops at individual residency programs

Faculty development topics will include:

  • Creating learning environments conducive to the ongoing development of “explicit and appropriate professional behaviors” in students, residents, faculty, and staff \
  • How to foster professionalism based on intrinsic motivation, rather than on a list of rules
  • Assessing professionalism, and strategies for addressing professionalism lapses

 

This initiative is funded by a grant from the ABFM Foundation.

Quick Links

 

STFM Professionalism in Family Medical Education Task Force

  • Joseph Gravel, MD, Chair of Family and Community Medicine, Medical College of Wisconsin
  • John Brady, MD, Associate Professor, VCU-Riverside Family Medicine Residency 
  • Daniel Casey, MD, Program Director, JPS Family Medicine Residency
  • Amy Clithero, PhD, MBA, Director for Medical Student Education on Health Policy & Advocacy, University of New Mexico School of Medicine
  • Roger Garvin MD, Director of GME Integration and Expansion, Oregon Health & Science University
  • Lauren Gibson-Oliver, MD, MBA, Residency Program Director, University of Arkansas for Medical Sciences
  • Lynne Havsy, PhD, Assistant Director of Behavioral Science and Resident Development Anderson Family Medicine Residency Program 
  • Timothy Hoff, PhD, Professor of Management, Healthcare Systems, and Health Policy, Northeastern University, Boston, MA
  • Natalie Long, MD, Family Medicine Clerkship Director, University of Missouri-Columbia
  • Adam Saperstein, MD, Associate Professor and Vice Chair for Medical Education, Uniformed Services University of the Health Sciences
  • Takudzwa Shumba, MD, MPH, Clinical Associate Professor, Stanford University School of Medicine
  • Mary Theobald, MBA, Chief of Strategy and Innovation, Society of Teachers of Family Medicine
  • Maria Montanez Villacampa, MD, Residency Associate Program Director, University of Texas Health Science Center-San Antonio
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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.