Clinical AIACADEMY
The learning path

MODULE 8 / 8

AI Implementation & Change Management in Healthcare

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Section 1 of 10

In this module

Topics to explore:

  • Describe the full lifecycle of an AI deployment in a healthcare setting
  • Explain why workflow redesign is essential for successful AI implementation
  • Identify the key stakeholder groups that must be engaged in any AI deployment
  • Distinguish between automation bias and automation aversion, and describe how to promote calibrated trust
  • Describe what should be monitored after an AI tool goes live, and identify signals that should trigger a formal review
  • Articulate when and how an AI deployment should be paused or decommissioned

Slide 1 – From Pilot to Practice: The Hardest Part of AI

Most AI failures in healthcare don't happen because the algorithm is wrong.
They happen because the implementation is wrong.

A technically excellent AI tool can fail to improve — or even worsen — patient care if the people, processes, and systems around it aren't ready.

This module focuses on the human and organisational dimension of AI: how to implement it well, lead through the change, and know when something has gone wrong.