5 Key Takeaways

• 1

  Scaling AI in health care requires understanding existing workflows and improving them, not just implementing technology.

• 2

  Cleveland Clinic evaluates AI projects based on their potential impact on safety, affordability, and scalability.

• 3

  Integrating AI at the enterprise level is complex and requires robust data, computing infrastructure, and applications.

• 4

  AI-ready data is essential for health care transformation, as it enables effective use of AI tools.

• 5

  Misconceptions about AI's capabilities can hinder implementation; technology alone cannot solve all health care challenges.