STFM Antiracism Learning Collaborative Meets in Kansas City

April 22, 2022—Dyads participating in the STFM Academic Family Medicine Antiracism Learning Collaborative completed a two-day training session in Kansas City on April 11-12. Seminars/workshops included:

Learning and Unlearning: Examining the Structural Barriers to Becoming Antiracist Academic Family Medicine Departments/Programs
From Bystander to Upstander
Dominant Cultural Norms: Recognize and Reshape

See the full training session agenda (pdf).

The Academic Family Medicine Learning Collaborative is an IRB-approved study to measure the effectiveness of training and implementation of various projects and strategies to:

Empower and educate participants so they will identify racist structures and behaviors within their academic institutions and become leaders for change
Promote allyship
Spread effective change strategies

Between January 2022 and September 2023, dyads will attend two full-day in-person sessions and five virtual sessions and work on projects to reduce racism within their institutions. Pairs have been assigned mentors who are providing guidance and expertise.

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

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January 30–February 2, 2025: STFM Conference on Medical Student Education

February 11, 2025, 11:30 am CST: Webinar: Planning for the Future: Personal Finance Education with Equitable’s Stephen Dunbar

February 28, 2025, 11 am CST: Webinar: Addressing the Residency Continuity Requirement: A Panel Discussion to Share Successes and Barriers

May 3–7, 2025: STFM Annual Spring Conference

September 8–10, 2025: The 2025 STFM Conference on Practice & Quality Improvement

Due Dates

February 4, 2025: Deadline for Presentation Proposals for 2025 Conference on Practice and Quality Improvement

February 17, 2025: Submissions for the 2025 Poetry and Prose Contest Due

February 28, 2025: Family Medicine Advocacy Summit Scholarship Applications Due

March 4, 2025: Medical Student Educators Development Institute (MSEDI) Applications Due

April 1, 2025: Early Bird Deadline for STFM Annual Spring Conference Registration

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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

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Example:

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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.

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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?"

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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.

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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.

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Example:

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Try: "In the context of Family Medicine education, what are the best practices for integrating clinical simulations into the curriculum?"

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Try: Start with "What are the faculty development requirements for Family Medicine educators?" Then follow up with your other questions after receiving the response.

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Bad Prompt

"What type of membership is best for me?"

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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.

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STFM AI Assistant

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