Resources

Competency-Based Medical Education Toolkit for Residency Programs

In-Person CBME Faculty Development Opportunities

Faculty Development Delivered CBME Workshops:

CBME Courses:

 

Upcoming Conference Presentations

2025 AAFP Residency Leadership Summit 

  • You Want Me to Do What? Tips to Survive Attesting to Core Outcomes
  • Integrating Direct Observation and Workplace Based Assessment into the Workflow    
  • Coaching to Competence: Transforming Residency Faculty Into Effective Resident Coaches
  • Reducing Bias in Evaluations by Improving Competency Based Resident Assessment Using Direct Observation 
  • Resident-Driven Individualized Learning Plans
  • The Family Medicine Residency Outcomes Project: Findings and How They Apply to Your Residency 
  • Leveraging Program Strengths and Competency Based Medical Education to Implement a Four-Year Pathway in Family Medicine

2025 STFM Annual Spring Conference 

  • CBME Intensive: Create Your Program’s Personalized CBME Implementation Roadmap with the STFM CBME Task Force
  • Reflections on Implementing CBME From STFM CBME Pilot Program Participants
  • Portfolios to Engage Residents in Learning: PERLs for Implementation in your Program
  • Leveraging a Needs Assessment to Develop a Learning Network for Family Medicine Residency Programs
  • Faculty Development Supporting CBME
  • Tips, Tricks, and Creative Ways to Integrate Direct Observation for Communication and Behavioral Health Skills
  • Competency-Based Medical Education (CBME) in Musculoskeletal Medicine for Family Medicine Residents
  • Knowing Where to Start: Competency-Based Holistic Assessment of Incoming PGY1 Residents
  • Direct Observation for CBME: Strategies for Implementation and Growth
  • Grading Procedural Competency: Applying POCUS Evaluation to Broader Skill Assessment in Competency-Based Medical Education
  • Tools to Implement Entrustment Scales to Enhance Competency-Based Medical Education
  • Enhancing Family Medicine Resident Competence Through Continuous Performance Mapping (NFS)
  • Implementing Competency-Based Medical Education in a Community-Based Family Medicine Residency
  • POCUS and CBME Crossroads: A Review of Current POCUS Assessments in Multiple Residency Programs
  • Artificial Intelligence Integrated into Competency-Based Medical Education
  • Competency Unlocked: Moving From Requirement to Implementation of CBME

Completed Conference Presentations

2024 MSU Family Medicine Network Retreat

  • Competency-Based Medical Education—Why (and Why Now)?

2024 Colorado Association of Family Medicine Residencies Annual Program Directors' Retreat

  • Making CBME Hum in Your Program: What Every Program Director Needs to Know for Success

2024 UNC-Chapel Hill Academy of Educators 

  • Getting from Here to There: A Primer on Competency-Based Medical Education

2024 AAFP Residency Leadership Summit

  • CBME Made Easy
  • CBME 101: A Primer on Competency-Based Medical Education
  • Capturing the Moment: Using a Hand-held App for Direct Observation
  • More Than Just Remediation: Using the Individualized Learning Plan to Foster Resident Success
  • Tying It Together — Using Milestone Elements to Build Better Competency Assessment
  • "GROW" Where You're Planted: Utilizing the GROW Model to Develop Resident Individualized Learning Plans
  • Charting a New Course: Harnessing Resident Engagement to Create Competency-Based Electives and Evaluations
  • Developing Faculty in the Principles of Master Adaptive Learning Using Case-Based Techniques
  • Coaching With the End in Mind: Faculty Skills in Co-development of Individualized Learning Plans
  • Begin With the End in Mind — A Shared Mental Model for Implementing Direct Observation
  • The Cost for Excellence: Financial Models for Programs of Excellence to Embrace CBME & NEW ABFM Outcomes
  • Connecting ILPs and the CCC: Innovative Resident Assessment

2024 STFM Annual Spring Conference

  • Primer on Competency-Based Medical Education for Family Medicine Faculty
  • What’s in Your Program’s CBME Toolkit?: Discover Resources and Create an Implementation Plan with the STFM CBME Task Force
  • Implementing CBME: How to Integrate Direct Observation Into the Clinical Workflow
  • The Resident Portfolio: An Interactive Tool For Resident Assessment
  • Monthly Competency-Based OB Mx Group Simulation Training for FM Residents
  • CBME in Family Medicine: How to Assure Residency Graduates Have Met the ABFM Core Outcomes
  • Monthly Competency-Based CODE BLUE Group Simulation Training for FM Residents
  • Are You Ready to Fly? Teaching and Assessment of Procedure Competency
  • Nurturing GROWth Mindsets: The Role of Individualized Learning Plans (ILPs)
  • Competency-Based Resident Orientation Simulation Activities for the Development of Equitable and Actionable Learning Plans
  • Listening to Our Residents: Early Findings From the First ABFM Family Medicine Resident Survey
  • Meaningful Feedback Conversations
  • "Every Move You Make, I'll Be Watching You": How to Utilize Direct Observation in Residency Education
  • Let’s Table It: Competency-Based Assessment Tools for Rotation Specific Feedback

2024 AAFP National Conference of Residents and Students 

  • Demonstrating Competence in Residency: New Expectations for Residents

2024 North Caroline Family Medicine Academic Summit 

Ask a Question
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.