Faculty Development

Mentoring in Medicine Online Modules

Mentoring in Medicine is a series of brief training modules for mentors in academic medicine. The modules are based on the literature on mentoring faculty; however, they can also apply to faculty/learner situations. Each module takes approximately 15 minutes to view.

These modules were designed to:

  • Cover a broad array of mentoring experiences encountered in academic medicine
  • Enhance skills and prepare mentors for challenging mentoring situations
  • Improve mentorship techniques by focusing on developing trusting relationships
  • Offer a variety of solutions to common dilemmas encountered in mentorship

 

Authors

Kathryn Fraser, PhD

Kathryn Fraser, PhD, is a Licensed Psychologist and the Behavioral Medicine Coordinator, at the Halifax Health Family Medicine Residency in Daytona Beach, Florida.  Her academic interests include cultural issues in health care, biopsychosocial approaches to health behavior change, professional wellness, and mentorship, particularly with underrepresented and marginalized populations.  She is dedicated to community involvement and is proud to assist residents who are spearheading a mentorship program with Bethune Cookman University, our local HBCU (Historically Black Colleges and Universities).  She is a former director of STFM’s Underrepresented in Medicine Mentoring Program and was also director of the Behavioral Science/Family Systems Educator Fellowship (BFEF).  She received STFM’s inaugural Diversity Award in 2022, and also received the Susan McDaniel Distinguished Career Award for Behavioral Science Teaching in Family Medicine that year. She currently serves as a Member at Large on the STFM Board of Directors.

Natalia V. Galarza Carrazco, MD, FAAFP 

Dr. Natalia Galarza grew up near Yuma, Arizona. She attended medical school at Universidad Autónoma de Baja California, graduating with honors. She completed her Family Medicine residency at Yuma Regional Medical Center as part of its first graduating class. With experience practicing on both sides of the U.S.-Mexico border, she deeply understands the region’s unique healthcare challenges and is passionate about glocal medicine, advocacy, and medical education. She founded a mentorship program for underserved students in Yuma County and has presented at multiple national AAFP and STFM conferences. She serves as Program Director for a new Family Medicine residency program at Yuma County. She is President of the Arizona Academy of Family Physicians and a Trustee Board member for the STFM Foundation.

Manorama M. Khare, PhD, MS 

Dr. Manorama Khare is a Research Associate Professor and Director of the Division of Health Research and Evaluation at the Department of Family and Community Medicine at the University of Illinois College of Medicine Rockford. She has over two decades of experience implementing and evaluating community-engaged research related to underserved populations and women’s health, specifically in rural communities. She oversees a nearly $2.5 million budget in the research division and is the PI for 15 grants and program evaluation contracts funded by HRSA, CDC, IDPH, and other foundations. She is active in DEI work at her institution and is committed to the advancement of women and underrepresented minorities in medicine. She serves as the director of the webinar series for STFM New Faculty Scholars Program and mentors faculty, medical and public health students, and other junior researchers. Dr. Khare has a doctorate in Public Health from the University of Illinois Chicago and a master’s in Preventive Medicine from The Ohio State University. Before moving to the US, she obtained a BS and MS in community nutrition and did her early community work in the slums of Mumbai and rural villages around Mumbai.

Acknowledgements

The authors would like to gratefully acknowledge members of the Faculty Development Collaborative who offered their feedback during the development of these modules.

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.