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Plenary Speakers
The Art of Noticing Unnoticed Wisdom- Why This, Why Now, Why Me (Us)?
Presented by: Gary L. LeRoy, MD, DABFM, FAAFP, American Board of Family Medicine
Session Description: The opening plenary features a reflective conversation about a leader’s journey in family medicine, highlighting service, leadership, and the importance of joy and community-centered care in clinical practice.
Learning Objectives: (1) Attendees will compare and contrast the differences between non-binary childhood developmental milestones and binary adult life hurdles. (2) Learners will better understand how not to fall out of love with the art and the science of medicine. (3) Attendees will learn how to recognize and celebrate “Enough.”
Speaker Bio: Gary L. LeRoy (Lah-Roy), MD, is the Senior Vice President for Diplomate Experience at the American Board of Family Medicine, located in Lexington, KY.
Dr. LeRoy is a native of Dayton, Ohio, and graduated from the Wright State University School of Medicine in Dayton. He completed his family medicine residency training in Dayton and a family medicine teaching fellowship at Michigan State University.
Over the past three decades, Dr. LeRoy has continued to serve the citizens of Dayton, Ohio, in his urban clinical practice, while also serving as Associate Dean of Student Affairs and Admissions at the Wright State University Boonshoft School of Medicine for 14 years, as President of the Ohio Academy of Family Physicians (2005-06), and as President of the American Academy of Family Physicians (2020-21).
AI: The Ultimate Catalyst in Advancing Equity in Medical Education, Patient Care, and Family Medicine
Presented by: Lou Edje, MD, MHPE, FAAFP, University of Michigan Medical School
Session Description: The closing plenary will address the role of artificial intelligence in advancing equity, reducing bias, and advancing medical education and patient care, as well as its broader implications for the future of medicine and the evolving role of primary care physicians.
Learning Objectives: (1) Identify 3 ways AI can advance equity in medical education. (2) Identify 3 ways AI can advance equity in patient care. (3) Describe the broad impact of AI in family medicine.
Speaker Bio: Dr. Edje is a board-certified family physician, chair of the family medicine review committee of the Accreditation Council for Graduate Medical Education (ACGME), former chair of the nominating committee of the American Medical Association’s Council on Medical Education, and a member of its executive committee. She was on the writing group for the new requirements for family medicine training. She was the Ohio Academy of Family Physicians 2012 Family Physician of the Year. She received two Distinguished Humanitarian awards in 2022 for community work with vaccine-hesitant patients during the COVID pandemic. She was president of her class at the University of Michigan Medical School (UMMS) and then completed her family medicine training, with honors. This was followed by 13 years in private practice and health system leadership, including service as department chair, chief of staff, and credentials chair.
During her pivot into academia, she attended the National Institute of Program Director Development (NIPDD) and obtained a master's in health professions education. She served as the Program Director of a dually accredited program with a sports medicine fellowship and a pharmacy residency for 7 years. Subsequently, she served as the founding Program Director, transferring an educational community of residents, faculty, and staff to a newly created program to preserve resident education and patient access in a primary care shortage area. She is an Emeritus Designated Institutional Official of the National Association of Designated Institutional Officials (NADIO).
She has the privilege of leading the University of Michigan's medical education mission. As Vice Dean for Medical Education, she supports the medical education of 780 medical students, 1300 residents and fellows, and 3,500 faculty. Her interests are master adaptive learners, competency-based medical education, and the use of generative artificial intelligence in assessment.
