Family Medicine Departments and Programs to Pilot STFM Telemedicine Curriculum

August 1, 2021 — Seventy-five departments and programs responded to an open call for applications for a pilot project to evaluate the effectiveness of a new telemedicine curriculum for medical students and residents. “We were super stoked by the response,” said Steven Lin, MD, Chair of the STFM task force that developed the curriculum. “The overwhelming number of applications shows there’s a dire need for education on delivering high-quality virtual care.”

Through a rigorous review process, with attention to diversity characteristics including geography, type of academic unit, and structure, STFM selected 15 medical schools and 15 family medicine residency programs to pilot the curriculum between September 1 and December 31 of this year. The curriculum includes five asynchronous modules that cover:

  • Intro to Telehealth
  • The Telehealth Encounter
  • Requirements for Telehealth
  • Access and Equity in Telehealth
  • Future of Telehealth

The modules will be made available to all STFM members in early September.

Congratulations to the following medical schools and residency programs that were chosen for this pilot project.

Selected Medical Schools:

Ohio State University
University of Missouri-Columbia
University of Washington Department of Family Medicine
University of North Texas Health Science Center at Fort Worth - TCOM
Morehouse School of Medicine
Pacific Northwest University of Health Sciences
Touro University College of Osteopathic Medicine
Frank H. Netter MD School of Medicine Quinnipiac University
University of Maryland School of Medicine
Edward Via College of Osteopathic Medicine, Carolinas Campus
WMU Homer Stryker M.D. School of Medicine
Indiana University School of Medicine
University of Minnesota Medical School, Duluth Campus
Northwell Health; Zucker School of Medicine
Central Michigan University College of Medicine

Selected Family Medicine Residency Programs:

Texoma Medical Center Family Medicine Residency Program
West Kendall Baptist Hospital- Florida International University
WVU Rural Family Medicine
Oregon Health & Science University, Portland Program
North Country Family and Community Medicine Program
University of Nevada Reno Family Medicine Residency Program
LSUHSC-University Hospital and Clinics
Heritage Valley Family Medicine Residency Program
Lewis Gale Family and Community Medicine Residency
Hanford Residency Program
VIrtua Family Medicine Residency
University of Iowa Family Medicine and Family Medicine Psychiatry
Carle Family Medicine Residency Program
Eau Claire Family Medicine Residency Program, at Prevea Health Family Medicine
UPMC St. Margaret Family Medicine Residency Program

 

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Leawood, KS 66211

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stfmoffice@stfm.org 

 

 

Events

January 30–February 2, 2025: STFM Conference on Medical Student Education

February 11, 2025, 11:30 am CST: Webinar: Planning for the Future: Personal Finance Education with Equitable’s Stephen Dunbar

February 28, 2025, 11 am CST: Webinar: Addressing the Residency Continuity Requirement: A Panel Discussion to Share Successes and Barriers

May 3–7, 2025: STFM Annual Spring Conference

September 8–10, 2025: The 2025 STFM Conference on Practice & Quality Improvement

Due Dates

February 4, 2025: Deadline for Presentation Proposals for 2025 Conference on Practice and Quality Improvement

February 15, 2025: Applications Due for BFEF Scholarly Project Director

February 17, 2025: Submissions for the 2025 Poetry and Prose Contest Due

February 25, 2025: Apply for CERA Associate Program Director Chair

February 25, 2025: Apply for CERA General Membership Survey Chair

February 25, 2025: Applications Due for CERA Fellowship

February 28, 2025: Family Medicine Advocacy Summit Scholarship Applications Due

March 4, 2025: Medical Student Educators Development Institute (MSEDI) Applications Due

April 1, 2025: Early Bird Deadline for STFM Annual Spring Conference Registration

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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.

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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.

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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.

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