Deep Dive: An Introduction to AI in Critical Care Medicine (Chicago)

Equip yourself with foundational skills and perspectives necessary to leverage AI effectively and responsibly in critical care environments. Experts will discuss real-world applications of how AI can enhance patient outcomes, streamline workflows, and support clinical decision-making. Gain insights into the practical aspects of AI integration into healthcare settings, addressing technical, organizational, and infrastructural challenges. The course also emphasizes the importance of ethical and legal considerations, fostering a critical understanding of data privacy, consent, accountability, and the potential biases inherent in AI systems.

Please note: This precourse will not teach how to build machine learning models. Instead, it will provide a landscape of the field and guidance on how to navigate the immediate future of healthcare that is increasingly incorporating AI tools.

The course includes:

• Half-day of in-person education
• Up to 3.75 accredited continuing education credits and maintenance of certification points

Learning objectives:

• Recognize various applications of AI that can enhance patient outcomes, streamline workflows, and support clinical decision making
• Examine the practical aspects of AI implementation and integration within healthcare settings
• Describe the technical, organizational, and infrastructure-related challenges involved in leveraging AI in critical care environments
• Explain the importance of ethical and legal considerations and the potential biases inherent in AI systems