
Operation Room Scheduling
Reducing hours of manual work to minutes, while delivering more balanced schedules for operating rooms and staff.
See solution
Solution
Balancing bed capacity across departments to reduce guest patients, improve care quality, and make hospital resources work smarter.
Client(s)
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Sector
Healthcare
Challenge
Supply & Demand Planning
Decision lens
Activity Planning
Product
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Geography
Europe
We developed an AI-assisted bed allocation tool that optimises the assignment of rooms and beds across departments.
The tool uses daily demand forecasts, room configurations, and hospital constraints (e.g. urgent vs elective treatments, clustering preferences, immovable units like cardiology) to generate alternative layouts.
Instead of relying on static allocations, planners can now test scenarios:
reallocating beds between departments,
introducing cross-departmental bed pools,
or phasing elective treatments to reduce peaks.
Each scenario shows the impact on % of bed use, total guest patients, and guest patients per department. This makes trade-offs transparent and gives hospitals a fact-based foundation for conversations about room allocation, flexibility, and future-proofing capacity.