AI in Healthcare: A Case Study in Why Governance Cannot Wait
Healthcare is one of the sectors where AI holds the greatest promise and carries the highest stakes. It is also where the consequences of poor governance are most immediately felt. When an AI system influences a diagnosis, a treatment pathway, or a resource allocation decision, the impact is not abstract. It is personal. It is human and it is often irreversible.
Globally, AI is already being used to detect disease earlier, predict patient deterioration, streamline clinical workflows, and support decisions that were once made on instinct and experience alone. The potential is extraordinary. But potential without governance is risk, and in healthcare, risk has a human cost that no organisation can afford to underestimate.
The governance challenges showing up in healthcare mirror those in every sector, only the margin for error is smaller. Who is accountable when an AI system contributes to a misdiagnosis? How are algorithmic biases identified and addressed when they affect treatment recommendations across different populations? How do leaders ensure that efficiency gains do not erode the quality of care or the trust patients place in their providers? These are not technology questions. They are leadership questions.
In my coaching practice, I work with leaders across industries who are navigating these same tensions between innovation and accountability, speed and safety, efficiency and ethics. Healthcare simply makes those tensions unavoidable. It strips away the abstraction and forces leaders to confront what governance actually means when the decisions being made affect people's lives directly.
What healthcare teaches every sector is this: governance frameworks cannot be built after harm has occurred. They must be in place before the systems they oversee are deployed. Leaders who wait for regulation or crisis to dictate their approach will always be a step behind. Those who build governance into the design of how AI is used, not bolted on after the fact, are the ones whose organisations will be trusted to lead.
The question is not whether AI will transform healthcare. It already is. The question is whether the leaders overseeing that transformation have the governance foundations to ensure it serves the people it is meant to help.
