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STFM Board Approves Development of Strategies and Resources to Help Residencies Meet Pending ACGME Requirements

New Family Medicine Program Requirements Go Into Effect in July 2023

June 1, 2022—By July 2023, family medicine residency programs will need to make major changes to their programs to meet new ACGME requirements. The 2023 requirements reflect the first major update for family medicine residencies in about 10 years. 

At its May 2022 meeting, the STFM Board of Directors approved a proposal for what will be a multi-year project to:

  1. Create an innovative model for Residency Learning Collaboratives built on a consistent, sustainable infrastructure
  2. Equip residency programs to deliver competency-based education and assessment, focusing on “what is learned rather than what is taught”
  3. Integrate interprofessional behavioral healthcare into residency programs

The details of the implementation plan are still in development. What follows is a general overview of strategies.

1. Create an innovative model for Residency Learning Collaboratives built on a consistent, sustainable infrastructure

These Residency Learning Collaboratives will help programs meet (draft) requirements 1.D.1.a) and IV.D.1.b).(1):

  • The program must partner with other family medicine residency programs through regional learning collaboratives to share resources to facilitate programs and their Family Medicine Practice (FMP) sites attaining educational and community aims
  • The program must use regional learning collaboratives to create and share scholarly activity.

Family medicine residency programs and their faculty will be able to join the Residency Learning Collaboratives for networking, scholarly activity collaboration, educational resource sharing, diverse role modeling, and collaborative projects to improve clinical and educational experiences.

This work will begin with an information-gathering Summit in fall, 2022.

2. Equip residency programs to deliver competency-based education and assessment, focusing on “what is learned rather than what is taught”

STFM will launch a Competency-Based Education Task Force to define and develop faculty training in and resources for competency-based education. The task force will develop a Competency-Based Education Action Plan, which may include:

    • Competency-based education and assessment resources
    • A change package that can be implemented by Residency Learning Collaboratives 
    • In-person and virtual faculty development
    • Strategies for developing individualized learning plans for residents
    • Strategies for remediation of residents not meeting competency standards
    • Mentors/coaches/facilitators/instructional designers to provide 1:1 advice on implementation

3. Integrate interprofessional behavioral healthcare into residency programs

Early stage work will include reviewing existing knowledge on integrating interprofessional behavioral healthcare into residency programs; identifying residency programs that are successfully integrating interprofessional behavioral healthcare into their program; getting community input on needs, and developing an Action Plan.

The deliverables of this work will help residency programs meet (draft) requirement II.B.2.i).(1): Each program should provide experience in integrated interprofessional behavioral health care. 

 

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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.

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.

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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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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.

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