
Bed Capacity Optimisation
Balancing bed capacity across departments to reduce guest patients, improve care quality, and make hospital resources work smarter.
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Solution
Turning complex staff scheduling into clear, fair plans - reducing manual effort and giving hospitals the insights to grow with confidence.
Client(s)
Haga Ziekenhuis
Sector
Healthcare
Challenge
Logistics
Decision lens
Activity Planning
Product
AIS
Geography
Europe
We developed an AI-assisted scheduling tool that creates monthly staff schedules automatically within hospital rules and constraints.
The tool matches 50+ employees to tasks while respecting contract hours, skill sets, and availability. It minimises under-allocation (fewer staff than required) and highlights over-allocation (too many staff assigned to a task) - giving hospitals a clear view of where training or recruitment may be needed.
Planners remain in control: they can assign priorities to certain task types, lock shifts manually, and instantly generate new schedules when conditions change. What once required hours of manual work can now be produced in minutes, with full transparency on trade-offs.