PACS, viewing and imaging AI for healthcare on the cloud
One platform to store, route, read and share medical images, with AI built into the radiologist’s workflow. It runs on premises, in the cloud or as a hybrid.
Screens show demo data and synthetic images.
Built on the standards your systems already use.
Everything between the scanner and the report.
Six products that work as one system or on their own. Start with the part you need now and add the rest without replacing what you already run.
One reading list for every study, from every site.
PacsWorks PACS stores, routes and presents imaging studies from all of your scanners and sites in a single worklist, so radiologists read in one place wherever the patient was scanned.
- Priority, modality, site and AI flags in one list
- Priors fetched before the case is opened
- Routing and retention managed centrally
AI models run where the study already is.
PacsWorks AI Hub connects imaging AI applications to the PACS. It sends each study to the models that apply, then returns the results to the worklist and the viewer, where a radiologist decides what to keep.
- Rules send each study to the right model
- Results return to the worklist and viewer
- Every decision logged for audit
Images move reliably between every system you run.
PacsWorks Gateway sits between scanners, sites and destinations. It routes every study by rule, retries what fails and shows the whole flow on one monitor.
- Rule-based routing with automatic retries
- Tag morphing between vendors
- Edge gateways at each site, managed centrally
AI that radiologists confirm, not another screen to check.
AI Hub sends each study to the models that apply to it and returns the results into the worklist and viewer. A radiologist accepts, edits or rejects every finding before it reaches a report.
AI output is decision support. Clinical use of any model depends on that model’s own regulatory clearance. Images shown are synthetic.
On premises, in the cloud, or both.
The same software runs in every model, so you can change where it runs without changing what your radiologists use.
On premises
Servers in your own data centre, for direct control of infrastructure and fully local reading performance.
Hybrid
Reading and scanner traffic stay on site; the archive, disaster recovery or remote reading move to the cloud.
Cloud
Fully hosted and managed, with elastic storage and no imaging servers to run yourself.
How a project runs.
Assess
We review your current systems, imaging volumes, sites and the points where work slows down.
Design
We agree an architecture and a deployment model, and plan the order of change.
Migrate and integrate
Legacy data is moved and reconciled, and interfaces to RIS, EMR and scanners are connected.
Go live and support
Sites move over in phases, followed by ongoing support and monitoring.
Tell us about your imaging environment.
What you run today, where the bottlenecks are and how you expect to grow. We will come back with an architecture, not a product pitch.