Leland Blanchard Memorial Lecture

Leland Blanchard Memorial Lecture was established in memory of Leland Blanchard, MD, in 1979. Dr Blanchard was a major contributor to the development of family medicine and was a charter member of STFM. This lecture is a program component of each STFM Annual Spring Conference.

Past Blanchard Lectures

  • 2023: Climate Change, Health and Equity   Cheryl Holder, MD
  • 2022: The Political Determinants of Health: Advocating for Equitable Health Outcomes Daniel E. Dawes, JD
  • 2021:  Are You Judging Me?: What Patients May Feel But Never Express to their Physicians  Jarvis DeBerry
  • 2020: Reflections of a Unicorn: Cedric Bright, MD
  • 2019: Mālama Honua (Caring for Mother Earth): Lessons Learned About Health, Wellbeing, and the Future of Health Care – Marjorie Leimomi Mala Mau, MD
  • 2018: Developing the Moral Obligations of Citizenship—Stephen Black
  • 2017: The Dynamics and Processes of the Health of the Latino Population Using Both Quantitative Data and Qualitative Observations—David Hayes-Bautista, PhD
  • 2016: Achieving Health Equity: Tools for a National Campaign Against Racism—Camara Phyllis Jones, MD, MPH, PhD
  • 2015: A Brief Ethnography of Family Medicine: Three Stories—Malachi O’Connor, PhD
  • 2014: On Being the Fifth and Final: Reflections on Interprofessional Leadership and Change Management—Denise Rodgers, MD
  • 2013: Disruptive Innovation and the Transformation of Health Care Systems: What Does It Require of Tomorrow’s Leaders?—Paul E. Plsek
  • 2012: The Art of Leadership—William E. Strickland, Jr
  • 2011: Engineering Against Nature When Nature Hits Back: The Past and Future of New Orleans—John M Barry
  • 2010: How Financial Conflicts Of Interest Endanger Our Profession—Jerome Kassirer, MD
  • 2009: The Challenge of Practice Variations and the Future of Primary Care—John Wennberg, MD, MPH
  • 2008: The Challenge of Practice Variations and the Future of Primary Care—John Wennberg, MD, MPH
  • 2007: A Community Leading Change–Fulfilling the STFM Vision—Kevin Grumbach, MD
  • 2006: The Challenging Face of Primary Care—Barbara Starfield, MD, MPH
  • 2005: The End of the Beginning: The Redesign Imperative in FM—Joseph Scherger, MD, MPH
  • 2004: Academia and the Care of the Chronically Ill—Edward Wagner, MD, WA
  • 2003: Family Medicine and the Surgeon General Who Listened—David Satcher MD, PhD
  • 2002: Medical Education for Compassion and Meaning: Stressproofing the Young—Rachel Naomi Remen, MD
  • 2001: Practical Idealism: What’s Rembrandt Got to Do With It?”—Ruth Hart, MD
  • 2000: Genes, Diseases, and the Practice of Medicine in the Year 2000—Holmes Morton, MD
  • 1999: Everything I Learned About Leadership From Sitting Around the Dining Room Table—John Molidor, PhD
  • 1998: Social Responsibilities of Faculty in Family Medicine—Audrey Manley, MD, MPH
  • 1997: From the Valley Floor to the Mountain Peak: FM on the Move—Nancy Wilson Dickey, MD
  • 1996: Family Medicine in the Way Station Called Managed Care—William Jacott, MD
  • 1995: The Community Origins of Family Practice—Theodore Phillips, MD
  • 1994: Medical Education, Status, and Scholarship: Reassessing What Is Valued as Scholarly Work—R. Eugene Rice, PhD
  • 1993: The Reemergence of the Generalist as Researcher—Sheldon Greenfield, MD
  • 1992: STFM: The Once and Future—Lynn Carmichael, MD
  • 1991: Caring and Curing: Striking the Right Balance—Daniel Callahan, PhD
  • 1990: Leadership in Family Medicine—Fitzhugh Mayo, MD
  • 1989: The Primary Care Physician and Resource Allocation: What Is the Job Description—Christine Cassel, MD
  • 1988: Health Care in the Future: A Federal Perspective—US Senator Orrin Hatch
  • 1987: Healthy Families: An Essential Investment for a Successful Nation—Willis Goldbeck
  • 1986: Rites of Spring for FM: Discontent, Discon-tinuity, and Discovery—Robert Graham, MD
  • 1985: Barnacles, Ballast, and Balance—B. Lewis Barnett, Jr, MD
  • 1984: What’s True About What’s New?—G. Gayle Stephens, MD
  • 1983: Competition—Paul Brucker, MD
  • 1982: FM’s Golden Opportunity: Will the Challenge Be Accepted?—Curtis Hames, MD
  • 1981: The Doctor’s Image—John Lister, MA, MD
  • 1980: Truth Telling in Medicine—Sissela Bok, PhD
  • 1979: The Willard Report Revisited—C.H. William Ruhe, MD
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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.

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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.

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The Chat Assistant:

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STFM AI Assistant
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