Post by deepc

The real AI test starts after go-live.   That is when a model has to work inside a real workflow. Performance has to be monitored. Ownership has to be clear. Someone has to decide whether the workflow should scale, change, or stop.   This is where clinical AI gets stuck.   Too often, every initiative starts from zero: new validation, new deployment work, new monitoring setup, new ownership decisions. That is why governance is becoming an infrastructure question. Health systems need reusable ways to validate, deploy, monitor, govern, and scale AI.   Our latest article explores why the next phase of clinical AI will be defined by governed execution. Read the full article to see what health systems need once AI moves beyond the pilot. Link is in the comments.