Publications

News

New Underrepresented in Medicine (URM) Oversight Committee Appointed

Oct. 30, 2019 — STFM is pleased to announce that the members of the new Underrepresented in Medicine (URM) Oversight Committee have been appointed. The URM Oversight Committee is chaired by Edgar Figueroa, MD, MPH, Director of Student Health, Weill Cornell Medical College, New York. 

This new committee, supported by the STFM Foundation, has been convened to guide the progress of the Underrepresented in Medicine Initiative work. The URM Initiative is developing, disseminating, and executing strategies to increase the diversity of family medicine educators and promote health equity in the following four focus areas:

  • mentorship
  • leadership
  • URM faculty pipeline
  • scholarship. 

Work Group Leaders for each of the four Focus Areas will lead the development of strategies and measures for their Focus Area with the help of a small work group team. The entire Oversight Committee, which includes the Work Group Leaders, will guide the progress of the work in the four Focus Areas and communicate with STFM members and the STFM Foundation about the work being done.

 

STFM URM Initiative

The STFM Underrepresented in Medicine (URM) Initiative, supported by the STFM Foundation, aims to:

  • Increase the percentage of URM family medicine faculty, and
  • Increase the number of solutions-focused, adaptable URM leaders within and across our healthcare system

The Association of American Medical Colleges (AAMC) definition of underrepresented in medicine is:

"Underrepresented in medicine means those racial and ethnic populations that are underrepresented in the medical profession relative to their numbers in the general population."

Learn more about the URM Initiative

URM Oversight Committee Members

Chair
Edgar Figueroa, MD, MPH
Director of Student Health
Weill Cornell Medical College

Judy C. Washington, MD
Associate Director
Overlook Medical Center Family Medicine Residency

Leadership Work Group Leader
Elizabeth H. Naumburg, MD
Associate Dean, Advising
Professor of Family Medicine
University of Rochester School of Medicine

Mentorship Work Group Leader
Kathryn Fraser, PhD
Behavioral Medicine Coordinator
Halifax Medical Center Family Medicine Residency

Scholarship Work Group Leader
Cesar A. Gonzalez, PhD, LP, ABPP
Associate Program Director, Family Medicine Residency,
Associate Professor, College of Medicine and Science
Mayo Clinic

URM Faculty Pipeline Work Group Leader
Maili Velez-Dalla Tor, MD
Program Director
Emanate Health Family Medicine Residency Program

David A. Acosta, MD
Chief Diversity and Inclusion Officer
Association of American Medical Colleges

 

 

 

Byron Jasper, MD, MPH, AAHIVS
Comprehensive Medical Mentoring Program (CMMP)
Founder and Executive Director

Danielle Jones, MPH
Manager, Center for Diversity and Health Equity
American Academy of Family Physicians

Leon McCrea, II, MD, MPH
Program Director, Family Medicine Residency
Associate Professor, Department of Family, Community & Preventive Medicine
Assistant Dean of Diversity, Equity & Inclusion
Drexel University College of Medicine

Staff Lead:
Emily Walters
Writer/Project Manager
Society of Teachers of Family Medicine (STFM)

Mindy Householder
Development Manager
Society of Teachers of Family Medicine Foundation

Mary Theobald
Deputy Executive Director
Society of Teachers of Family Medicine (STFM)

Vince Munoz
Membership Marketing Specialist
Society of Teachers of Family Medicine (STFM)

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.