Connected teams
Keep operational communication moving
Private networks connect supported staff devices and operational applications across healthcare buildings, helping information reach the team where it is needed.
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Private 5G for healthcare.
Connect the work around care.
Connect hospital logistics, estates teams and operational applications across a busy healthcare campus. Private 5G helps the work around care keep pace with the people delivering it.
Bring delivery status, equipment observations and estates requests into a shared operational picture, with local processing for selected images and data.
Private 5G in practice
Connect the work. Improve the operation.
Remote collaboration
Share a live view with colleagues
Video communication connects people working in different locations, supporting operational collaboration without another journey across the estate.
Local monitoring
Bring equipment and environment readings together
Connected sensors feed environmental and equipment monitoring systems, giving estate teams a clearer view of conditions across their working areas.
The operational connection
Connect the work around care.
Hospital campuses move supplies, equipment and people between buildings throughout the day. An uncertain delivery or incomplete estates handover creates extra calls and journeys for staff whose time is already stretched.
A private network connects selected operational devices on their actual routes. Robotics can support routine transport, while edge AI processes equipment or service-area images locally and presents specific findings for a person to review.
Practical healthcare use cases
Connect the task to the people who act on it.
01
Keep a supply delivery visible from stores to destination
A delivery robot collects a sealed supply load from the logistics team and receives its assigned route through the fleet application. Private 5G carries job status across the approved campus route. The receiving team can see when the delivery is on its way and confirm the handover through its normal workflow.
If the destination is temporarily unavailable, the logistics controller updates the job and coordinates the next step. Delivery records stay linked to the task rather than being reconstructed from phone calls. Building access, lifts and the robot’s navigation are integrated with the relevant systems as part of the deployment.
The opportunity: clearer supply handovers and less time chasing delivery progress.
02
Spot an estates issue during a robotic inspection round
An inspection robot follows a route through a service corridor or plant area, capturing equipment images. A local edge AI application highlights an unusual reading or visible change for the estates team. Private 5G carries the event to the maintenance application with its asset reference and supporting image.
An engineer reviews the finding, decides whether a visit is needed and records the outcome against the asset. Repeated observations build a useful maintenance history, while the next shift sees open actions in the same system. The scenario concerns building and equipment operations, with no automated clinical decision.
The opportunity: more consistent estates observations and quicker access to inspection evidence.
03
Bring an equipment request to the people who can fulfil it
A staff member submits an operational equipment request from a connected handset, identifying the destination and required item. The logistics application assigns it to the support team and shows progress. Compatible asset-location systems can add the last recorded position of available equipment.
The team confirms collection and delivery, leaving a record that colleagues can see without calling around the campus. Where an item cannot be found, the exception reaches the person responsible for resolving it. Private 5G connects the devices and updates; the asset system supplies the identification and location information.
The opportunity: fewer calls searching for status and better coordination of support tasks.
Robotics and edge AI
From an observation to a useful decision.
Keep a supply delivery visible from stores to destination. The robot gathers observations or completes its assigned movement; the private network carries the agreed data. Edge AI means processing selected images or sensor readings on local computing infrastructure.
Choose what the application should identify and who receives the result. A reviewed finding can become a work order, a confirmed handover or a record for the next shift, with the supporting evidence kept alongside it.
Explore private AI → Private compute → Managed open-source applications →
Built around the operation
Plan the complete connection.
- 01 / DevicesRobots, cameras, gateways and staff handsets
- 02 / Working areasAgreed routes, buildings and operational zones
- 03 / Private networkRadio coverage, device access and traffic priorities
- 04 / ApplicationsLocal edge AI and the systems used by your team
Design for the site
Start with logistics and estates routes, including service corridors, plant rooms and links between buildings. Consider device hygiene, access arrangements and coverage behind substantial building structures.
Connect to the existing workflow
Separate operational access from other services and agree data handling with the organisation. Local edge AI can process selected service-area images; define the scene, retention and authorised reviewers around the task.
Planning & costs
We help turn the opportunity into a working solution.
We assess your estate, devices and applications, then design connectivity around the work you want to improve. We help build a business case around the opportunity, deployment costs and ongoing support.
We handle the technical assessment and help connect the investment to useful results. The first conversation starts with what you want to achieve.
One area or the whole estate.
Start with a focused deployment and expand, or move ahead with a full programme. We shape delivery around your priorities and readiness, and coordinate installation with your operation.
Talk to our teamPlanning questions
Private 5G for healthcare: your questions.
Does this change clinical systems or medical-device operation?
The initial scope can focus on logistics and estates. Any clinical application or medical-device integration needs its own requirements, assurance and deployment process.
Can existing devices and applications connect?
Compatible cellular devices connect directly; suitable gateways can link other equipment. We check the exact device models, interfaces and application requirements before choosing the design.
Where does edge AI run?
Selected analytics can run on local servers, with access and storage designed around the workflow. The application identifies agreed events; staff review the result and retain responsibility for the operational response.
What is needed to scope the project?
A site plan, the chosen task, device details and the applications involved provide a useful start. We then assess coverage, integration, installation and ongoing support for a defined proposal.
Read the private 5G cost guide →Your operation, connected
Which task should work better?
Show us the working area, the equipment and the point where information stops flowing. We’ll help turn it into a practical first project.
Website information and service conditions
Coverage and performance are designed around your site, devices and applications. We set out the agreed service and delivery scope in your proposal.
Use cases illustrate how the service can support an operation. Project specifications and commercial terms are confirmed in the agreed proposal and contract.