Program Description: 

Medicine, and the specific field of anesthesiology, are changing rapidly. The number of journals describing these changes and the articles describing the investigative work being done has just exploded and, unless following the information in one of our many subspecialties, it would be impossible to remain current with evolving information. This series was designed to provide current information to our faculty, students and staff to allow their care of patients to reflect best practices and to encourage each of them to make a regular practice of seeking new and accurate information so that they can remain current in their practices. The visiting professor series is designed to offer timely, current and critical education to all types of Anesthesia practitioners (faculty, ancillary staff, and residents). The visiting professor series will focus on the integration of new research/literature/techniques into the current knowledge base of the faculty and residents. Much emphasis will be given on how to integrate the information into clinical practices. Speakers are carefully selected based on the quality of the education they will provide the audience (new information/skills/techniques) and the relevance and timeliness to the field of Anesthesiology.

Key Words: Value-based Care, Benchmarks for Clinical Care, Prehabilitation and Outcome, Extra-corporeal Membrane Oxygenation

Target audience: 
  • Physicians
  • Nurse Practitioners
  • Physician Assistants
  • Medical Students, CRNA's
Learning objectives: 

Participants who engage in this educational intervention will be able to:

  • Explain the fundamental concepts of augmented intelligence (AI) in the context of anesthesia, including machine learning techniques and their applications in optimizing patient monitoring and drug administration.
  • Evaluate the benefits and challenges of integrating AI technologies into anesthesia practice, recognizing how AI-driven decision support systems can enhance patient safety, improve clinical outcomes, and enhance the efficiency of anesthesia care teams.
  • Discuss ethical and regulatory considerations associated with the use of AI in anesthesia, considering issues such as data privacy, transparency, accountability, and the role of healthcare professionals in maintaining control and oversight over AI-assisted procedures in the operating room.
Faculty & credentials: 
Activity Director(s):
Cynthia A. Lien, MD
Chair, Professor
Department of Anesthesiology
Medical College of Wisconsin-Froedtert 
 
Speaker:
Jesse Ehrenfeld, MD, MPH, FASA, FAMIA, FCPP
Senior Associate Dean and Director, Professor of Anesthesiology
Advancing a Healthier Wisconsin Endowment
Medical College of Wisconsin
 
In accordance with the ACCME® Standards for Integrity and Independence in Accredited Continuing Education, Standard 3, all in control of content must disclose any relevant financial relationships. The following in control of content had no relevant financial relationships to disclose.
  • Cynthia A. Lien, MD
  • Jesse Ehrenfeld
 

Contact

Name: 
Rachel Smith
Phone number: 
+1 (414) 266-6755

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.

Session date: 
10/30/2024 - 6:30am to 7:30am CDT
Location: 
Kerrigan Auditorium - Medical College of Wisconsin
8701 W. Watertown Plank Rd
Milwaukee, WI 53226
United States
  • 1.00 AMA PRA Category 1 Credit(s)™
    AMA PRA Category 1 Credit(s)™
  • 1.00 Hours of Participation
    Hours of Participation credit.

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