Key Initiatives

Underrepresented in Medicine Initiative

STFM Underrepresented in Medicine (URM) Mentorship Program

The STFM URM Mentorship Program pairs early-career faculty with mentors to help guide them on a pathway to success in academic medicine. The focus is on addressing barriers unique to URM faculty, giving tips on overcoming those barriers, and helping guide faculty toward careers that are rewarding and fulfilling.

Mentees are paired with mentors who receive training on the unique challenges URM faculty face in academic medicine. The program attracts a culturally diverse group of faculty mentors who are dedicated to making things better for the upcoming generation.

Unique benefits of the program:

  • Mentees are paired with mentors with similar academic backgrounds whenever possible
  • Mentees develop a network of early career and late career faculty to call on who understand their unique needs as URM faculty
  • Mentees are encouraged but not required to work on a scholarly product with their mentors
  • Mentees and mentors work together to set some specific career goals
  • Mentors are trained in addressing oppression, racism, and alienation sometimes felt by URM faculty
  • Mosaic Mentoring: mentors make themselves available to mentees they are not assigned to if they can help them with a specific career need

"The URM Mentoring Program provides an outstanding opportunity to explore challenging and complex topics within academic medicine in partnership with other mentors and mentees. This program meaningfully supports networking, facilitates career development, and provides broad support to all participants. At a personal level, I value the opportunity to learn from others, share perspectives, and contribute to the flourishing of others."
- Stacy A. Ogbeide, PsyD, Mentor

 

URM Mentorship Program Faculty

Brittany Houston, PsyD - Program Faculty Lead

Kristen Hood Watson, MD – Work Group Co-Lead

Mariquita “Kit” Belen, MD – Mentor Liaison

Bill Cayley, MD – Mentee Liaison

Mentoring Underrepresented Faculty for Academic Excellence

A Guide for Academic Programs Developing Mentoring for URM/BIPOC Faculty

The URM Mentorship Group has created a set of resources for academic programs or institutions who are developing mentoring programs for URM/BIPOC faculty. 

Facilitator's Guide & Overview
The facilitator's guide and recorded overview presentation provide guidelines for mentor/mentee recruitment and matching, as well as suggested best practices for training, check-ins, and mentor/mentee goal-setting. 

Mentor Trainings
The following webinar recordings contain training for mentors to understand and appropriately address issues of discrimination, racism and stereotyping that negatively impact early career faculty. They also include concrete suggestions on how faculty can find teaching resources, guidance for research projects and strategies for promotion and advancement that incorporate the unique needs of URM/BIPOC faculty. 

The STFM Underrepresented in Medicine (URM) Mentorship Workgroup

This STFM program was created as part of the Underrepresented in Medicine (URM) Initiative. This initiative began creating programs and resources to meet the following aims of the initiative:

Goal: Create opportunities for developing meaningful relationships that lead to career advancement and leadership
Goal: Develop mentors who have the skills to help URM students, residents, and faculty improve resiliency, satisfaction, and retention

Original URM Initiative Workgroup:

Kathryn Fraser, PhD—Work Group Leader and Program Founder
Behavioral Medicine Coordinator
Halifax Medical Center Family Medicine Residency, Daytona Beach, FL

Syeachia N. Dennis, MD, MPH, FAAFP
Assistant Professor
University of Oklahoma College of Medicine

Jessica Guh, MD
Residency Site Director
Swedish Family Medicine Residency Cherry Hill

Cynthia Kim, LCSW-R
Associate Program Director
Director of Behavioral Science
Mid-Hudson Family Medicine Residency Program
Institute for Family Health

George W. Saba, PhD
Professor of Clinical Family and Community Medicine
Permanente Medical Group Teaching Chair in Primary Care
Associate Program Director, Director of Behavioral Sciences
UCSF/SFGH Family Medicine Residency Program

Emily Walters, Staff Lead
Director of Education and Special Projects
Society of Teachers of Family Medicine

STFM URM Initiative

Questions

Questions about the program or application process? Contact Jenni Minor at jminor@stfm.org for more information.

 

Contact Us

 

11400 Tomahawk Creek Parkway

Leawood, KS 66211

(800) 274-7928

stfmoffice@stfm.org 

 

 

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.