Artificial Intelligence (AI) in health care presents tremendous opportunity and benefits to drive operational efficiencies and improve the patient care experience. The technology also comes with significant challenges and risk. This course is designed to outline the promise and peril of AI in health care, identify the evolving status of law, regulation and policy governing AI in health care within the United States, and provide a clear roadmap for how stakeholders throughout the health care ecosystem can develop and deploy responsible and trustworthy AI.

We will discuss ways to effectively manage AI risk while maximizing its potential through the establishment of a formal framework, including implementation of clear written policies and procedures, vigorous vendor management, ongoing risk assessment and application of internal guardrails.  We will also explore practical examples of the challenges that companies face in deciding whether to adopt new AI technologies and how such a framework might be deployed.

Speakers

• Peter Stockburger
• Ramy Fayed
• Janice Ziegler

CLE

CLE credit for the live webinars is being sought in Arizona, California, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Missouri, New Jersey, New York, Pennsylvania, Texas, Utah and Virginia. Credit for all other states must be applied for and submitted by individual attendees. Compliance with each state's MCLE requirements is the sole responsibility of the attendee.

Dentons can only issue CLE credit for attendance during the live broadcast of the webinar. Participation on the live webinar must be on a computer or laptop device; credit is not available for joining via mobile device. Credit for viewing on a pre-recorded session is the responsibility of the individual.