Presentations on the URM Initiative

Information on the STFM URM Initiative has been disseminated through multiple presentations at national conferences as well as publications on national websites and journals.

Publications
Presentations

Publications

Presentations

  • Becoming: A Panel of URM Chief Residents and Their Academic Medicine Journey to Resident Leaders, STFM’s Conference on Medical Student Education, Feb 2, 2021.
  • Learning and Unlearning: Addressing Structural Barriers to URM Faculty Achievement, Association of Departments of Family Medicine Annual Meeting, Feb 18, 2021.
  • ‘Learning and Unlearning: Structural Racism and Academic Family Medicine: Examining the Structural Barriers to Achieving Diverse Residency Program Leadership”, AAFP’s Residency Leadership Summit, March 6, 2021.
  • Mentoring Underrepresented Faculty for Academic Excellence (MUFAE): Addressing the Needs of URM Faculty for Career Success, STFM Annual Spring Conference, May 3-7, 2021.
  • Succeeding as a Scholar Underrepresented in Family Medicine: A Beginner's Guide for Students, Residents, and Physicians. STFM Annual Spring Conference, May 3-7, 2021.
  • Academic Advancement for URMs and STFM URM Writing Fellowship Recruitment. STFM Annual Spring Conference, May 3-7, 2021.
  • Workforce Diversity: Navigating the Minority Tax in Academic Medicine. STFM Virtual Annual Spring Meeting. May 3-7, 2021
  • An STFM Initiative to Develop the Pipeline of URM Leaders Through Scholarship, Mentorship, and Leadership Training. STFM Annual Spring Conference, May 3-7, 2021.
  • Is a Career in Academic Family Medicine for Me? A Guide for Underrepresented in Medicine Residents. AAFP National Conference for Residents and Students, July 31, 2021.
  • Succeeding as a Scholar Underrepresented in Medicine: A Beginner's Guide for Students, Residents, and Faculty. STFM Conference on Medical Student Education, January 27, 2022.
  • STFM's URM Initiative: Developing the Pipeline of URM Leaders Through Scholarship, Mentorship, and Leadership Training. STFM Annual Spring Conference, May 3, 2022.
  • Impact of Underrepresented in Medicine Journey to Academic Medicine (URM JAM) Podcast. STFM Annual Spring Conference, May 2, 2022.
  • Improving the URM Faculty Pipeline: Helping Students and Residents Navigate Barriers to Careers in Academic Family Medicine. STFM Annual Spring Conference, May 3, 2022.
  • Mentoring Underrepresented Faculty for Academic Excellence (MUFAE): Identifying URM Faculty Needs to Thrive in Their Careers. STFM Annual Spring Conference, May 3, 2022.
  • Scholarship Success for Early-Career Faculty Underrepresented in Family Medicine. STFM Annual Spring Conference, May 4, 2022.
  • Workforce Diversity: Navigating the Minority Tax in Academic Medicine. STFM Annual Spring Conference, May 2, 2022.
  • Is a Career in Academic Family Medicine for Me? A Guide for Underrepresented in Medicine Residents. Accepted for the AAFP National Conference for Residents and Students, July 29, 2022.
  • The URM Initiative: An Online Asset-Based Leadership Development Course for URM Faculty & Allies. STFM Annual Spring Conference, April 30, 2023.
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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.

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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.

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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.

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