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American Board of Family Medicine Foundation Approves Grant Proposal for Underrepresented in Medicine Initiative

October 28, 2020–The Society of Teachers of Family Medicine’s (STFM) current efforts to increase the number underrepresented in medicine (URM) faculty and scholars recently received support from the American Board of Family Medicine (ABFM) Foundation with the approval of a 3-year grant proposal aimed at funding the development of URM leaders. The $233,900 grant, which includes leadership, mentorship, and scholarship training, was submitted by STFM with the goals of:

  • Increasing the number of and the skills of URM family medicine leaders through leadership training and mentorship
  • Advancing the scholarly writing skills of URM faculty as a pathway to promotion

URM faculty members collectively make up only 9.4% of academic medicine while representing almost 33% of the national population.1,2 Diversifying the workforce provides an opportunity to enhance the recruitment and retention of URM students, residents, and faculty, and meet the needs of a diverse patient population. Diverse faculty enhance their students’ skills in “active thinking, intellectual engagement, and motivation, as well as certain social and civic skills, such as the ability to empathize and have racial and cultural understanding.”3

Because there is a deficit of URM-focused skill-training in scholarly activity designed to promote career advancement and leadership development for junior faculty, mentorship is needed to provide explicit training on career planning, promotion and tenure, academic tracks, managing conflict, and effective negotiations.4-6

“Diversity, equity, and inclusion are the most important issues we face as a society and as a profession—and family medicine faculty are on the front line. We are delighted to partner with STFM, which has the talent and the infrastructure to develop URM faculty,” said ABFM Foundation President Warren Newton, MD, MPH.

The work funded by the grant is being performed with guidance from an interprofessional oversight committee, led by Edgar Figueroa, MD, MPH, and includes:

  • Mentorship through online training, longitudinal mentoring, and virtual coaching software platforms
  • Leadership development through preconference workshops, presentations, online courses, and financial support
  • Development and implementation of the URM Scholarly Writing and Leadership Fellowship

“Through this initiative, STFM has an opportunity to advance the URM physician pipeline, provide resources and education to reshape medical education, and empower future family physicians to provide community-responsive care that improves outcomes and reduces disparities,” emphasized STFM President Tricia Elliott, MD.

  1. census.gov. Quick Facts United States. 2018; https://www.census.gov/quickfacts/fact/table/US. Accessed September 4, 2019.
  2. Diversity of the Physician Workforce: Facts and Figures 2018. 2018; http://aamcdiversityfactsandfigures.org/. Accessed March 26, 2020.
  3. org. Fact Sheet: The Need for Diversity in the Health Care Workforce. 2012; https://www.aapcho.org/wp/wp-content/uploads/2012/11/NeedForDiversityHealthCareWorkforce.pdf. Accessed September 4, 2019.
  4. Pololi L, Cooper LA, Carr P. Race, disadvantage and faculty experiences in academic medicine. J Gen Intern Med. 2010;25(12):1363-1369.
  5. Mallery TA, Mittman IS, Castillo-Page L, Eliason J, Chapman Navarro JR. A Stochastic Model of Consensus Reaching in Committee Decisions for Faculty Advancement, Promotion and Tenure: Does Diversity Matter? J Natl Med Assoc.
  6. A novel enrichment program using cascading mentorship to increase diversity in the health care professions. Afghani B, Santos R, Angulo M, Muratori W.Acad Med. 2013 Sep;88(9):1232-8. doi: 10.1097/ACM.0b013e31829ed47e.PMID: 23887013
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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

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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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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