This educational activity is designed to incorporate evidence-based pathophysiology, diagnosis, and/or treatment of surgical disorders into clinical practice. Speakers will utilize their personal, institutional, and evidence-based experience to address patient health care conditions requiring clinical and surgical treatment. Speakers will also utilize departmental quality improvement data, M&M data, and patient safety data to improve outcomes of surgical disease and other aspects of surgical patients’ general health. Evidence-based data regarding the changing aspects/newer approaches to surgical disease will be analyzed, and critical issues related to surgery within the broader scope of American health care will be discussed.
Key Words: Surgery, Surgical Innovation, Surgical Education
- Physicians
- Nurse Practitioners
- Physician Assistants
- Nurses
Participants who engage in this educational intervention will be able to:
"Sharpening Skills: the Evolution of Surgical Education and Training"
- Interpret key milestones in the evolution of surgical education, including apprenticeship models, the development of residency programs, and the transformation to structured training systems.
- Analyze contemporary approaches to surgical skill development, including simulation-based training, structured coaching, and video review, to evaluate their impact on competency and patient safety.
- Evaluate emerging models of individualized surgical education, including Entrustable Professional Activities (EPAs) and competency-based assessment, and predict their implications for the future of surgical training.
"Augmenting Surgical Care with AnAI: Exploring the Utility of Large Language Models"
- Differentiate large language models (LLMs) from traditional machine learning approaches and explain their relevance to surgical care.Identify current applications of LLMs in surgical practice, quality improvement, and research.
- Analyze current and emerging applications of LLMs in surgical practice, quality improvement initiatives, and research workflows.
- Evaluate limitations, ethical considerations, and safety risks associated with LLM-based clinical tools and identify safeguards for responsible integration into surgical practice.
Assistant Professor
Department of Surgery
Medical College of Wisconsin-Froedtert
Medical College of Wisconsin-Froedtert
- Jacqueline Blank
- Hannah Holland
- Adhitya Ramamurthi
Contact
ACCME Accreditation Statement:
The Medical College of Wisconsin is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
AMA Credit Designation Statement:
The Medical College of Wisconsin designates this live activity for a maximum of 1.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Hours of Participation for Allied Health Care Professionals:
The Medical College of Wisconsin designates this activity for up to 1.00 hours of participation for continuing education for allied health professionals.
- 1.00 AMA PRA Category 1 Credit(s)™AMA PRA Category 1 Credit(s)™
- 1.00 Hours of ParticipationHours of Participation credit.

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