5 Key Takeaways

• 1

  The author argues that AI’s return on investment should include better decision-making and stronger human connections, not only reduced costs and labor.

• 2

  The author uses AI to challenge assumptions, test alternatives, and identify unintended consequences before making high-stakes decisions.

• 3

  Mapping the revenue cycle with AI revealed undocumented procedures and unclear ownership, prompting a comprehensive, living training resource.

• 4

  A custom AI-designed cataract quoting tool calculates patient responsibility, reducing workflow complexity and freeing staff to focus on patient conversations.

• 5

  The author says leaders should systematize work that does not require human judgment while preserving opportunities for people to learn and build patient trust.