Industry solutions
Healthcare interoperability
A trusted information foundation for care.
Connect clinical and administrative systems into governed healthcare data workflows, with patient identity, mapping quality and privacy designed into the foundation.
The starting point
What needs to change.
Patient data is fragmented across EMR, laboratory, imaging and administrative systems.
Duplicate identities and inconsistent terminology weaken the reliability of shared information.
Analytics and AI programmes need approved access and usable privacy controls.
What we deliver
From opportunity to working systems.
Interoperability and data mapping
Connect required HL7, FHIR and imaging workflows and map source formats into shared models. Keep clinical review in the mapping and validation process.
Patient identity resolution
Combine deterministic and probabilistic matching with a governed duplicate-review workflow and clear record ownership.
Privacy-aware data pipelines
Apply detection, masking, tokenisation or de-identification appropriate to the approved analytical or research use case.
A foundation for patient and staff services
Connect the governed data layer to booking, patient engagement, operational reporting and source-backed staff knowledge.
Illustrative solution architecture
How the pieces work together.
Bring context into the workflow, connect the right solutions, and make progress visible.
01 Understand the context
Signals & knowledge
Use the context and information already in place.
- Business priorities
- Trusted knowledge
- Operational data
02 Connect the solutions
Interoperability and data mapping
Patient identity resolution
Privacy-aware data pipelines
03 Put it to work
Teams & operations
Connect people and systems to the next useful action.
Measured outcomes
Track agreed measures, learn, and improve the workflow.
Built around your existing technology
Our approach
A clear path into delivery.
Start with the business problem. Make each stage useful, reviewable and owned.
- 01
Inventory systems, information standards and the clinical workflow that needs to improve.
- 02
Validate identity and mappings against representative approved records and exception cases.
- 03
Release with access controls, data quality monitoring and documented operating ownership.
Explore the detail
Related work and resources.
See the approach in context. Client engagement stories are anonymised; related examples may come from other sectors or platforms.
Your next move
Bring us the business problem.
We will help you define a useful starting point, the expertise you need and a practical path to delivery.