Publications

News

New Task Force to Advocate for Protected Time for Teaching and Administration

Oct. 30, 2019 — Nine STFM members have been appointed to a new task force to develop national guidelines that define the amount of time needed by faculty to meet the non-clinical requirements of residency programs. This is in response to a national trend toward maximizing clinical productivity of faculty, which reduces the amount of time available teach and to meet administrative responsibilities and accreditation requirements. 

"We have experienced increasing clinical demands from our clinical practice leaders, accreditors, and payors, often at the expense of our responsibility to residents.," said Task Force Chair Simon Griesbach, MD. "It's critical to family medicine, and also to our current and future health care system as a whole, that we have adequate time to meet our administrative responsibilities and teach residents the skills they need to care for patients."

Specifically, the task force will:

  • Develop Joint Guidelines for Protected Non-Clinical Time for Faculty in Family Medicine Residency Programs
  • Make recommendations for dissemination of those guidelines
  • Publish the guidelines in a peer-reviewed publication
  • Publish the guidelines in publications targeted at health care systems leaders
  • Present or identify speakers to present the guidelines at conferences
  • Appeal to the ACGME for changes in its requirements

A Reactor Panel will provide feedback on the guidelines throughout the development process.

 

Task Force Members

Chair
Simon Griesbach, MD
Assistant Director, Waukesha Family Medicine Residency

Karyn Kolman, MD
Vice Chair for Education, University of Arizona COM – Tucson

Sarah Holder DO
Program Director, AtlantiCare Family Medicine Residency Program
FM Clerkship Director, Geisinger Commonwealth SOM

Glenn V. Dregansky, DO
Associate Program Director, WMU Homer Stryker MD School of Medicine FMR

Winfred Frazier, MD, MPH
Associate Program Director, University of Texas Medical Branch

Louanne Friend, PhD, MN, RN
Deputy Director for Operations, Institute for Rural Health Research, The University of Alabama

Gregory R. Lewis, MD
Program Director, California Hospital Medical Center FMR

Michelle Roett, MD, MPH, (ADFM Representative)
Professor and Chair, MedStar Georgetown University Hospital

Kim Stutzman, MD (AFMRD Representative)
Program Director, Family Medicine Residency of Idaho

 

Reactor Panel

Sally P. Weaver, PhD, MD
Director of Research, Waco FMR

Lisa Mims, MD, MSCR
Associate Program Director, Trident/MUSC FMR

Jay Brieler, MD
Program Director, SLU FMR

Jennifer Leiser MD
Family Medicine Division Chief, University of Utah SOM

Neena Thomas-Eapen, MD
Associate Professor of Family Medicine, University of Kentucky

Karl Dietrich, MD, MPH
Faculty Physician, Swedish First Hill FMR

Velyn Wu, MD
Associate Program Director, University of Florida FMR

Ben Davis, MD
Program Director - Interim, Swedish FMR

Christine Criscuolo Higgins, MD
Associate Director, CHRISTUS Santa Rosa FMR

 

Related News: Comment on ACGME Program Requirements

STFM encourages members to comment on proposed ACGME Common Program Requirements before November 13, 2019. 

The proposed requirements, based on recommendations and requests from STFM and other organizations, would allow ACGME specialty review committees to specify the amount of time core faculty must dedicate to residency programs, exclusive of patient care. The ability for review committees to specify this time was eliminated in the Common Program Requirements that went into effect July 1, 2019.

The proposed revision also includes changes to requirements for resident supervision.

Follow the instructions on the “review and comment” page of ACGME’s website to submit comments. 

Read More About the Proposed Changes
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.