Healthcare · Representative profile: multi-site hospital network
Predicting patient flow across a hospital network
Day-ahead census forecasts and live transfer coordination — with patient data that never leaves the premises.
Illustrative scenario — not a customer case study
Design targets
-31%
Target: average ER wait time
14
Sites the architecture coordinates
97%
Target: day-ahead census accuracy
The problem pattern
Emergency rooms overcrowded while beds sit free across town. Transfers coordinated by phone, and no shared view of the network.
How our agents attack it
Forecasting and coordination agents run on-premises, integrated with the systems the network already owns. Patient data never leaves the building.
Designed outcome
Designed so the whole network plans from one live view: morning surges staffed before they happen and ER waits pushed down by a target of roughly a third.
This page describes an engineered deployment pattern, not a real engagement. Profiles are representative, and all figures are design targets used to size the architecture. Verified live metrics for our own operation are published on the autonomy page.