Where the Coherent leadership team writes about patient safety, the infrastructure beneath AI, and the operational change healthcare actually needs. Not the hype.
The real mistake is asking an execution role to double as a strategy function — and then treating the person as the problem when it can’t.
A case for moving fast where it is safe, carefully where it is not — and knowing the difference before AI breaks someone in a way that makes a great headline, and a much worse hearing.
Confidence is not safety. Speed is not care. A fluent answer is not the right answer. Before an AI tool touches a patient, the provider should be able to pass a plain-English patient safety test.
AI in healthcare is promising self-driving. Reality is closer to a fast car with a very confident dashboard. The danger lives in the middle — when the system works often enough that humans relax, but fails unpredictably enough that they are still responsible.
If an AI output cannot be checked, it cannot be trusted. And if checking it takes longer than doing the work, nothing has been saved — the time did not disappear, it just moved.
An AI product inherits the weaknesses of the infrastructure beneath it. In healthcare, the seam where modern AI meets legacy systems is where risk quietly accumulates — and where trust is won or lost.
