Digital Health & Interoperability
Integrate safely. Scale without surprises.
Interoperability and workflow design that gets your product into clinical systems — standards-aligned, clinically safe and procurement-ready.
What we assess
From data flow to deployment
FHIR / HL7 readiness
Standards conformance and data-model review.
EPR integration
Integration patterns and readiness for major EPRs.
Workflow design
Swimlane mapping of the clinical pathway around your product.
Data flows & governance
Where data moves, and the safeguards it needs.
Change management
Adoption and training considerations for deployment.
Architecture review
An independent view of integration design and risk.
- Data-flow diagrams & swimlanes
- Interoperability gap assessment
- Prioritised remediation roadmap
- Deployment & change-management notes
Why interoperability decides adoption
A great product still has to fit the system
In NHS and enterprise healthcare, the hardest part of deployment is rarely the software itself — it is the connection to everything around it. A tool that cannot read from or write to the electronic patient record, that breaks a clinician's workflow, or that moves data in ways governance has not sanctioned, will stall regardless of its clinical merit. Interoperability is where promising products quietly fail. Our role is to surface those obstacles early, while they are cheap to fix, and to give your engineering and clinical teams a shared, standards-based picture of how the product will live inside a real care setting.
That picture is built on the standards your buyers already expect — HL7 FHIR and v2 messaging, SNOMED CT coding, and the integration patterns common to the major EPR platforms. We assess conformance against them not as an academic exercise but as the practical conditions a procurement team will test you against. The output is honest: where you are ready, where you are not, and what to do about it in priority order.
How a review unfolds
From discovery to a remediation roadmap
- Discovery. We map how data enters, moves through and leaves your product, and where it touches clinical systems.
- Conformance check. We test the data model and interfaces against FHIR/HL7, SNOMED CT and the EPR patterns your target buyers use.
- Workflow modelling. We draw the clinical pathway as swimlanes so the human steps around the technology are explicit and safe.
- Gap & risk assessment. We identify shortfalls against standards and DTAC expectations, and the clinical risks they carry.
- Prioritised roadmap. We hand back a remediation plan your team can act on, sequenced by impact and effort.
Interoperability rarely travels alone. A data-flow map almost always raises clinical-safety questions we address through AI Validation & Clinical Safety, and governance questions that connect to Clinical Advisory & Governance. Where the goal is NHS adoption, the readiness evidence we assemble feeds directly into Innovation, Pilots & Market Access and the expectations set out in our NHS buyer-readiness guidance. Once data flows safely, our Healthcare Data & Analytics team can turn it into the outcomes that prove value.
Answers
Frequently asked questions
Which standards do you work with?
We work with HL7 FHIR and HL7 v2, SNOMED CT and EPR integration patterns common in NHS and enterprise settings, and assess readiness against interoperability and DTAC expectations.
What does an interoperability audit deliver?
A clear data-flow map, a gap assessment against the standards your buyers expect, and a prioritised remediation plan with swimlane diagrams your engineering and clinical teams can act on.
Do you implement integrations?
We focus on assessment, architecture review and readiness; we work alongside your engineering team or integration partner to ensure the design is clinically safe and standards-aligned.
How does this relate to DTAC?
Interoperability is one of the five DTAC criteria, alongside clinical safety, data protection, technical security and usability. Our audit addresses the interoperability strand directly and flags where the others — particularly clinical safety and data protection — need separate evidence before a buyer will proceed.
We are pre-deployment — is it too early for an audit?
No, that is the ideal point. Reviewing data models and integration patterns before you build avoids expensive rework, and it lets workflow design shape the product rather than the product dictating an awkward workflow.
Book an interoperability discovery
Bring your integration challenge and we'll map a path to safe deployment.