Raising exam-volume access 84% without adding radiologists.
A leading U.S. radiology organization was filling coverage gaps with premium pay while capacity sat unused across sites and shifts. We connected demand forecasting, capacity planning, and scheduling so the organization could see gaps earlier and make better use of the radiologists it already had.
Measured outcomes are the customer’s own, from their deployment.
The organization didn’t need more radiologists first. It needed to make better use of the capacity it already had across sites and shifts. Once demand, capacity, and scheduling were connected, access rose without hiring.
Coverage gaps were filled with premium pay.
Demand was estimated, capacity was planned in one place, and schedules were built in another. Gaps surfaced late and were often filled with premium coverage, even when usable capacity existed elsewhere in the network.
Disconnected systems. Forecasting, capacity, and scheduling were in separate tools that did not agree.
Gaps appeared too late. Coverage shortfalls surfaced too late to fill at a reasonable cost.
Premium pay by default. The last-minute fix was the most expensive one.
Access left on the table. Exam capacity went unused because it wasn’t visible across the network.
What changed: forecasting, scheduling, and pay were connected.
We connected forecasting, scheduling, and compensation.
We connected demand forecasting, capacity planning, scheduling, and compensation. Forecasts showed expected exam volume by site and service line. That demand could then be compared with available radiologist capacity before schedules were finalized, making coverage gaps visible earlier.
Because scheduling and compensation were connected, the organization could also see where premium coverage was driving cost and address those gaps before the schedule was locked.
Existing radiologist capacity supported more exam volume.
The organization increased exam-volume access by 84% without adding radiologists, and across the network 66% of sites improved SLA performance.
The change came from matching forecasted demand with available capacity earlier, before coverage gaps became last-minute scheduling problems. The platform paid for itself within one quarter.
Where is premium pay hiding in your schedule?
Tell us how you forecast demand and schedule radiologist coverage today. We will show you where capacity is going unused, where coverage gaps are driving premium pay, and what could change.