Artificial intelligence in anesthesia may be here to stay. This panel and participant discussion will consider the emergence of artificial intelligence-enabled decision support systems in the face of limited evidence of improved patient outcomes in research and peer reviewed evidence. Based on an understanding of current anesthesia practice artificial intelligence technologies and the intersection of patient safety,how will we know that there are new concerns related to AI patient safety issues? Integration of implementation science into a comprehensive quality improvement, learning collaborative to inform and improve the plan, do, study, act cycle for evidence based, sustained implementation of practice change. Join the Anesthesia Patient Safety Foundation team in a robust exploration of AI and patient safety to offer your insights and concerns.

1. Demonstrate a fundamental understanding of the application of artificial intelligence (AI) in anesthesiology practice.
2. Explore the intersection of AI and patient safety priorities.
3. Outline considerations for an AI anesthesia patient safety quality improvement program utilizing implementation science to improve adoption and dissemination of best practice evidence.

This program has been prior approved by the American Association of Nurse Anesthesiology for 1.0 Class A CE credits; Code Number 1044790; Expiration Date 2/20/2025. 

• Lynn J. Reede, DNP, MBA, CRNA, FNAP (she/her/hers)
• Desiree Chappell, MSN, CRNA, FAANA
• Steven Greenberg, MD, FCCP, FCCM​

Accreditation Information:
The American Association of Nurse Anesthesiology is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center's Commission on Accreditation. 

AANA is an approved provider by the California Board of Registered Nursing, CEP #10862.

Disclosure Statement:
Any relevant relationship between an ineligible company and an individual with the ability to influence clinical content will be identified by the Nurse Planner within the activity. Any relevant relationship between an ineligible company and an individual with the ability to influence clinical content has been mitigated.

Post-Test Attempt Notice:
A minimum passing score of 80% is required to pass this course. You have TWO opportunities to achieve a passing score. If you fail to achieve a passing score of 80%, you will not receive CE credit for this course.

Content Disclaimer:
The views, information, or opinions expressed within the videos and audio are solely those of the individuals involved and do not necessarily represent those of the American Association of Nurse Anesthesiology.

Course content has been prepared by the presenter/developer, and each viewer agrees that the presenter/developer is solely responsible for the content and the accuracy thereof. The viewer agrees that the American Association of Nurse Anesthesiology has no responsibility or liability for the accuracy or completeness of the content.

Refund Policy:
Continuing education activities are nonrefundable.