Healthcare operations teams are often offered digital twins of everything. The ones that get used start with something narrower: where patients wait, and why.
Model the waiting first
Queues are where operational problems become visible. A simulation that reproduces waiting times accurately is already useful for staffing decisions.
Check it against a real week
Before adding detail, we replay a past week and compare simulated waits with the real ones. Trust comes from that comparison.
“Planners do not need a perfect copy of the hospital. They need a trustworthy answer to: what happens if we change this?”
Add decisions, not detail
Next come the levers planners actually control — rotas, assignment rules, bed allocation — so they can test a change before making it.
Start with the queue, prove the model on a real week, and only then add complexity. It is the fastest route to a twin that people use.