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Family Medicine Residency Programs Selected for CBME Pilot Project

April 22, 2024—Sixty-four family medicine residency programs responded to an open call for applications for a pilot project to test and refine resources and strategies for competency-based medical education (CBME).

Through a rigorous review process, STFM selected 33 programs to participate.

  • Selected sites will pilot:
    • A mobile app-based competency assessment
    • An individualized learning plan template and timeline
    • Integrating coaching strategies to promote resident development

Congratulations to the following residency programs and individuals selected for participation in this pilot project.

  • Methodist Hospital Family Medicine Residency: Alison Knutson, PharmD and Christine Morley MD
  • University of Vermont Family Medicine Residency: Anne Morris, MD and Gordon Powers, MD
  • Duke Rural Family Medicine Residency: Alexa Namba DO, MPH
  • The Ohio State University Family Medicine Residency: Bethany Panchal, MD and Hiten Patel, MD, MPH
  • University of Iowa Family Medicine Residency: Brigit Ray, MD, MME and Monika Jindal, MD
  • Kaiser Permanente Washington Family Medicine Residency: Carla Ainsworth, MD, MPH and Lynne Bateson, MD
  • Southwest Healthcare MEC Family Medicine Residency: Carrie Bacon, MD and Vanessa Cobian, MD
  • Novant Health Family Medicine Residency: Cecile Robes, DO and Elari Guy, MEd
  • KU School of Medicine-Wichita Family Medicine Residency at Wesley Medical Center: Cassie Scripter, MD and Aaron Sinclair, MD
  • ChristianaCare Family Medicine Residency: Elise Hogan, MD, MPH and Anna Filip, MD
  • Southern Colorado Family Medicine Residency: Emillia Lloyd, MD and Sravanthi Paritala, MD
  • University of Colorado Family Medicine Residency: Emily Spencer, MD and Emily Lines, MD
  • Prisma Health Family Medicine Residency - Greenville: Jatin Patel, MD and Melissa Prado, MD, MSc
  • Beebe Healthcare Family Medicine Residency: Joyce Robert, MD and Miri Shlomi, MD
  • PVH/Fort Collins Family Medicine Residency: Kristen Bene, PhD
  • Penn State Health Milton S. Hershey Medical Center Family and Community Medicine- Hershey Residency Program: Karl Clebak, MD, MHA and Michael Partin, MD
  • University of Kansas Family Medicine Residency: Kelsie Kelly, MD, MPH and Bethany Enoch, MD
  • University of Pennsylvania Health System Family Medicine Residency: Kristina Laguerre, MD, MPH and Zachary Kosak, MD
  • Montgomery Family Medicine Residency: Kashiff Munee, MD, MBA
  • Hackensack Meridian Ocean University Medical Center Family Medicine Residency: Kelly Ussery-Kronhaus, MD and Ken Kronhaus, MD
  • HCA Healthcare KC/Lees Summit Med Center Family Medicine Residency: Lawrence Gibbs, MD and Melissa Smith, MD
  • Ascension Providence Family Medicine Residency: Laci Zawilinski, PhD and Teniesha Wright-Jones, DO
  • University of North Carolina Family Medicine Residency: Rachel Hughes, MD
  • Northeast Georgia Medical Center Family Medicine Residency: Monica Newton, DO, MPH and Leslie David, MD
  • University of Florida Community Health and Family Medicine Residency: Maribeth Williams, MD, MSCR and Lindy Krebs, MD
  • Emanate Health Family Medicine Residency: Mohammed Yousuf Zaveri, MBBS, MD and Maili Velez-Dalla Tor MD
  • Spartanburg Family Medicine Residency: Patricia Bounkight, MD and Melissa Owens, C-TAGME
  • Sparrow/MSU Family Medicine Residency: Rosemary Roper, DO and Brooke Lemmen, DO
  • Atrium Health Navicent/Mercer University School of Medicine Family Medicine Residency: Sarah Choo-Yick, MD and Kerisia Wasztyl, LMFT
  • North Country HealthCare Family and Community Medicine Residency: Sarah Coles, MD and Kelsey Morgosh, MD
  • Atrium Health Wake Forest Carolinas Medical Center Family Medicine Residency: Shala Sundaram, MD and Latoria Liptrot, MSEd
  • Boston Medical Center Family Medicine Residency: Suki Tepperberg, MD, MPH and Howard Lanney, MD, MS
  • Cabarrus Family Medicine Residency: Susan Andersen, MD and Emily Peacock, MD
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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.