A healthcare technology deployment that has held for thirty days will drift by week six. That sentence is not a complaint about the technology — it is the predictable pattern we walk into on the named operator side of an engagement, and the readiness gap that surfaces in those two weeks is the one the engagement has to be staffed to close.
The first month is the honeymoon. The go-live has run, the press release is out, the sponsor has signed off, and the named decision-maker on the client side is still in the room. Adoption metrics look fine because the people using the system this week are the people who designed the workflow — they built the muscle memory before cutover, and the data they produce is the data the dashboard is tuned to read.
Week six is not the honeymoon. By week six, the people using the system are the people who joined the floor in the last two pay cycles. They did not build the workflow. They are running the workflow. And the workflow as designed assumes the prior muscle memory, so every shortcut they take to keep throughput up is filed against the deployment as adoption friction — even when the shortcut is the only thing keeping the unit functional while a new hire is on orientation.
We do not catch this in week one. We flag it in week one. The cell-by-cell readiness list has a row for it: the named clinical and operational owners, the workflows they run on, and the handoff pattern that takes a workflow from the design cohort to the running cohort. If those names are populated with people who are still on the floor in week six, the gap closes. If those names are populated with sponsors, the gap drifts.
This is the line we keep returning to on the named operator side: a deployment is not measured against its go-live. It is measured against the floor that runs it after the design cohort rotates. Write the readiness list against that floor.