Key Initiatives

Antiracism Initiative

Implementation Guide for Academic Family Medicine Antiracism Learning Collaborative

The content on this page is for dyads participating in the STFM Antiracism Learning Collaborative

Assignments and Due Dates

January 12, 2022 11:00 am - noon CT: Virtual kick-off meeting. See meeting invitation for Zoom link.

January 31, 2022: Due date for completion of Leading Change modules. See instructions for accessing the modules. When you log into the course,  download the workbook and complete all the exercises/activities as you go through the modules. You’ll need the information from the workbook activities for your project plan, which is due at the end of the February. Need help? Contact Brian Hischier at bhischier@stfm.org.

January 31, 2022: Deadline to share brief bio and photo on Connect.stfm.org.

March 15, 2022: Due date to request a hotel room for the in-person meeting. Use the SurveyMonkey link provided in the discussion thread on Connect.stfm.org.

March 21, 2022: Due date for written descriptions of change projects. Use template. Post in the library at Connect.stfm.org.

April 11, 2022, 1-6 pm (dinner to follow); April 12, 2022 7:30 am - 12:15 pm: In-person training session in Kansas City.

May 30, 2022: Due date for submitting mentor-meeting agreement.

June 13, 2022, 12-1 CT: Office Hours: Writing Goals and SMART Objectives with Grant Greenberg, MD (optional). See Connect.stfm.org for Zoom link.

June 30, 2022: Due date for submitting revised written descriptions of change projects. Use template. Post in the library at Connect.stfm.org.

July 7, 2022, 1-2 pm CT: Office Hours: Reflections on Recent Events with Tricia Elliott, MD, and other members of the STFM Antiracism Task Force (optional). See Connect.stfm.org for Zoom link.

July 14, 2022, 2-3 CT: Office Hours: Focusing on That One Thing That Changes Everything – From Concept to Execution with Jay Fetter (optional). See Connect.stfm.org for Zoom link.

August 11, 2022, 12-1 CT: Office Hours: Scholarly Activity with Edgar Figueroa, MD and Jose Rodriguez, MD (optional). See Connect.stfm.org for Zoom link.

August 31, 2022: Due date for submitting quarterly mentor-meeting form.

September 2022: Survey to assess progress. Survey link will be sent in early September.

September 9, 2022, 10-11:30 am CT: Virtual meeting: Navigating Power Hierarchy, Negotiation, and Addressing Conflict with Margot Savoy, MD. See meeting invitation for Zoom link.

November 9, 2022, 11 am - 1 pm CT: Virtual meeting: 10 teams present current status of their projects (10 minutes each). The meeting will conclude with an open discussion of challenges, successes, and next steps. See meeting invitation for Zoom link. These teams are scheduled to present:

  • Medical University of South Carolina
  • Montefiore Medical Center Residency Program in Family and Social Medicine
  • Ross University School of Medicine
  • SeaMar Marysville FMRP
  • The Christ Hospital/University of Cincinnati Family Medicine Residency Program
  • Thomas Jefferson University Depart of Family and Community Medicine Residency Program
  • UNC School of Medicine
  • Uniformed Services University of the Health Sciences (USUHS)
  • University of California, Irvine
  • University of California, San Francisco

November 30, 2022: Due date for submitting quarterly mentor-meeting form.

February 28, 2023: Due date for submitting quarterly mentor-meeting form.

March 2023: Survey to assess progress. Survey link will be sent in early March.

March 8, 2023, 11:00 am - 1 pm CT: Virtual meeting: 10 teams present current status of their projects (10 minutes each). The meeting will conclude with an open discussion of challenges, successes, and next steps. See meeting invitation for Zoom link. These teams are schedule to present:

  • Atrium Health Family Medicine Residency Program
  • Contra Costa Family Medicine Residency Program
  • Family Medicine Residency of Idaho -- Nampa
  • Harbor UCLA Family Medicine Residency
  • University of Connecticut School of Medicine
  • University of Illinois College of Medicine Rockford Family Medicine Residency Program
  • University of Kansas School of Medicine-Wichita
  • University of Minnesota Department of Family Medicine and Community Health
  • University of North Texas Health Science Center – Texas College of Osteopathic Medicine (TCOM)
  • University of Utah Department of Family & Preventive Medicine

April 25, 2023: Optional Learning Collaborative Morning Chat. See meeting invitation for Zoom link.

May 31, 2023: Due date for submitting quarterly mentor-meeting form.

July 12, 2023, 11 am - 12:30 pm CT: Virtual meeting: Maximizing Your Impact with Jennifer Edgoose, MD. See meeting invitation for Zoom link.

August 9, 2023, 3 - 4 pm CT: Optional Learning Collaborative Afternoon Chat. See meeting invitation for Zoom link.

August 18, 2023: Deadline to submit poster presentations for September meeting. See email or connect.stfm.org for submission instructions.

August 25, 2023: Deadline to submit slides for Ignite presentation for September meeting. See email or connect.stfm.org for submission instructions.

August 31, 2023: Due date for submitting quarterly mentor-meeting form.

September 2023: Post project survey. Survey link will be sent in mid September.

September 10, 2023: Full day in-person meeting in St Louis w/Conference on Practice and Quality Improvement. Dyads will present results.

After September 2023: Dyads continue to submit results for publication/presentation.

 

This project is supported by a grant from Adtalem Global Education Foundation.

Quick Links

 

Expectations of Participants

Both members of the dyads are expected to attend all in person and virtual meetings. Dyad teams are also expected to:

  • Submit a detailed plan for creating change within their institution.
  • Refine their change plan over time, work on projects, and track results
  • Complete surveys at 7 months, 14 months, and 20 months
  • Communicate regularly with their mentor
  • Present their progress and challenges at the virtual sessions
  • Disseminate results at the final meeting of the collaborative and through a scientific presentation or peer-reviewed paper

Individuals who complete all assignments and participate in ALL of the virtual and in-person meetings will graduate, receive certificates, and be recognized in publications.

Implementation Guide for Mentors

Questions?

Contact Mary Theobald at mltheobald@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.