Solution

Bed Capacity Optimisation

Bed Capacity Optimisation

Reducing Guest Patients and Improving Quality of Care
Reducing Guest Patients and Improving Quality of Care
Screenshot of computer simulation
Screenshot of computer simulation

Balancing bed capacity across departments to reduce guest patients, improve care quality, and make hospital resources work smarter.

Client(s)

-

Sector

Healthcare

Challenge

Supply & Demand Planning

Decision lens

Activity Planning

Product

-

Geography

Europe

The challenge

The challenge

Hospitals face constant pressure to balance bed capacity across departments. Demand forecasts show seasonal variations, with some departments consistently over capacity while others remain underutilised.


Patients can still be accommodated - but often as guest patients, placed in a bed outside their own department. For example, a cardiac patient may stay in an orthopaedic ward. While workable, this leads to lower quality of care: nurses may not have the right training, specialists lose time travelling between wards, and overall patient experience suffers.


Leadership wanted to understand whether reallocating beds - or even departments - across the hospital could reduce guest patients and better align supply with demand.

Hospitals face constant pressure to balance bed capacity across departments. Demand forecasts show seasonal variations, with some departments consistently over capacity while others remain underutilised.


Patients can still be accommodated - but often as guest patients, placed in a bed outside their own department. For example, a cardiac patient may stay in an orthopaedic ward. While workable, this leads to lower quality of care: nurses may not have the right training, specialists lose time travelling between wards, and overall patient experience suffers.


Leadership wanted to understand whether reallocating beds - or even departments - across the hospital could reduce guest patients and better align supply with demand.

Solution

Color-coded floor plan diagram showing multiple connected rooms and corridors, with rectangular blocks in different colors representing categorized areas or seating arrangements across levels labeled “0” and “2.”
Color-coded floor plan diagram showing multiple connected rooms and corridors, with rectangular blocks in different colors representing categorized areas or seating arrangements across levels labeled “0” and “2.”
Color-coded floor plan diagram showing multiple connected rooms and corridors, with rectangular blocks in different colors representing categorized areas or seating arrangements across levels labeled “0” and “2.”

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.

Results

Fewer guest patients

improved alignment of bed supply and demand across departments.

Smarter use of capacity

higher bed utilisation without compromising care quality.

Fact-based conversations

scenarios provide a neutral basis for decisions on cross-department beds and possible department relocations.

Results

Fewer guest patients

improved alignment of bed supply and demand across departments.

Smarter use of capacity

higher bed utilisation without compromising care quality.

Fact-based conversations

scenarios provide a neutral basis for decisions on cross-department beds and possible department relocations.

Results

Fewer guest patients

improved alignment of bed supply and demand across departments.

Smarter use of capacity

higher bed utilisation without compromising care quality.

Fact-based conversations

scenarios provide a neutral basis for decisions on cross-department beds and possible department relocations.

Related solutions

Want to learn more about this solution? Get in touch and ask for a demo.

Want to learn more about this solution? Get in touch and ask for a demo.

Want to learn more about this solution? Get in touch and ask for a demo.

Want to learn more about this solution? Get in touch and ask for a demo.