Inclusivity and Health Equity Webinars

This series of webinars will present strategies for instituting data-driven practices to promote inclusiveness and health equity in alignment with federal and state policies.

New government policies have resulted in family medicine training programs questioning some of their approaches to developing culturally competent and community engaged family physicians. This series of webinars will present strategies for instituting data-driven practices to promote inclusiveness and health equity in alignment with federal and state policies.

Past Webinar Recordings and Registering for Future Webinars

Webinar #1: Rethinking Bias in AI – Why Algorithmic Bias is Only the Tip of the Iceberg
Webinar #2: Integrity, Identity, and Inclusion: Reframing Professionalism for a New Era
Webinar #3: Staying at the Table: Leading for Health Equity While Protecting Your Peace

Webinar #1: Rethinking Bias in AI – Why Algorithmic Bias is Only the Tip of the Iceberg

Recorded February 4, 2026

 

This 60-minute conversational session features STFM President Steven Lin, MD, and STFM Past President Tricia Elliott, MD. The conversation begins with a discussion about how biased data leads to skewed AI outputs and touch on strategies for mitigation, such as de-biasing data and fairness audits. The conversation pivots to a broader view: participation bias (how limited voices shape AI priorities) and implementation bias (how deployment can exclude marginalized communities). The speakers offer ideas for equity-centered policies and practices, and describe how STFM’s National Family Medicine AI Centers of Excellence can build capacity and skills.

Learning Objectives

Participants receive practical tips on:

  • Talking the AI talk
  • Having relevant conversations in their institutions
  • Making the business case for equitable AI integration
  • AI practices that promote health equity

Presenters

  1. Steven Lin, MD
  2. Tricia Elliott, MD

Webinar #2: Integrity, Identity, and Inclusion: Reframing Professionalism for a New Era

Date and Time: March 31, 2026, 1 pm ET

This 60-minute presentation by Immediate Past ABFM Chair Andrea Anderson, MD, will invite family medicine educators to reexamine how professionalism is defined and taught amid rapidly evolving social and cultural contexts. This session will explore emerging frameworks that integrate integrity, self-awareness, and inclusion as core dimensions of physician identity. Participants will discuss how traditional professionalism standards can unintentionally reinforce bias and exclusion, and how to reframe them toward equity and belonging. Practical strategies for teaching, assessing, and modeling professionalism in diverse learning environments will also be highlighted.

Learning Objectives

Following this presentations, participants will be able to:

  • Examine evolving definitions of medical professionalism that address modern challenges in healthcare and education.
  • Identify best practices for teaching and assessing professionalism in diverse, inclusive learning environments.
  • Analyze how health equity and bias considerations intersect with traditional professionalism standards.
  • Discuss generational variations in perspectives on professionalism and their implications for mentoring and role modeling.

Presenters

  1. Andrea Anderson, MD, MEd

 

Webinar #3: Staying at the Table: Leading for Health Equity While Protecting Your Peace

Date and Time: June 10, 2026, 1 pm ET

This conversational webinar will offer a grounded, compassionate exploration of what it means to stay engaged in health equity work while navigating increasing pressures, shifting regulations, and the emotional labor that comes with advocating for justice in complex systems. The speakers will discuss the strain of moral injury, the guilt of not doing enough, and the helplessness that arises as communities lose access to essential resources.

Through candid dialogue and practical frameworks, the Drs Savoy and Elliott will unpack how to set boundaries that preserve energy and purpose while maintaining influence and presence. Participants will learn how to use the “Strategic No,” build communities of support—both within and beyond their institutions—and lean into partnerships that distribute the work more sustainably. The focus will be on recognizing limitations, understanding where one’s voice carries power, and embracing the truth that no leader will need to create every solution alone.

Learning Objectives

The session will provide tools for aligning personal well-being with professional commitments, modeling healthy leadership within teams, and reframing equity efforts through missions of access, quality, and patient-centered care. Attendees will leave with renewed clarity and encouragement to lead with authenticity and resilience—anchored in purpose, sustained by community, and strengthened by boundaries that will protect their capacity to stay engaged for the journey ahead.

Presenters

  1. Margot Savoy, MD, MPH
  2. Tricia Elliott, MD

 

Watch More STFM Webinars

Want to watch more webinars hosted by STFM? We have webinars not all specific to one topic and covering academic family medicine as a whole. There are also other topic-specific webinar series available to view.

MORE WEBINARS FROM STFM
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.