Industry
Healthcare
Clinical and patient-facing systems where availability is a safety property and data residency is usually not negotiable.
Capabilities
How we approach it
Clinical systems are used by people who cannot stop to work around a defect, so the bar for availability and rollback is higher than in most commercial software. We prioritise reversibility — a tested rollback is worth more than a feature — and we treat handover to the client's own operations team as a delivery criterion rather than a courtesy.
- 01
Clinical workflow systems
Scheduling, referrals, and care coordination built around observed clinical practice rather than the documented process.
- 02
Interoperability and integration
HL7 and FHIR interfaces to patient administration, laboratory, and imaging systems, isolated behind adapters.
- 03
Patient-facing services
Portals and applications meeting accessibility requirements as a baseline, because the patient population includes the people accessibility standards exist for.
- 04
Infrastructure modernisation
Moving clinical platforms off unsupported infrastructure without clinical downtime, inside the residency constraints that apply.
Regulatory context
The constraints that shape the build
- HIPAA and equivalent national regimes
- Access control, audit logging, and retention designed in from the start. Which regime applies depends on where the patients are, and that answer shapes the architecture more than any technical preference.
- HL7 and FHIR interoperability
- Integration with patient administration and clinical systems through standard interfaces, wrapped in adapters so a vendor's change is not a platform migration.
- Data residency and sovereignty
- Where the constraint rules out public cloud, we build for the customer's own data centre rather than treating the requirement as negotiable.
In their words
The part that mattered was the handover. Our own platform team ran the final two deployments while their engineers sat and watched, and that was written into the contract rather than promised verbally at the end.
In practice
Reversibility before frequency
Most modernisation advice starts with deployment frequency. In clinical environments that is the wrong order. A team that can deploy weekly but cannot reliably undo a bad release has increased its exposure, not reduced it.
Every healthcare engagement establishes a rehearsed rollback path first. Release frequency follows once undoing a change is boring.
Questions
What Healthcare clients ask
01Can you work inside our data centre rather than a public cloud?
Yes. Where data residency or sovereignty rules out public cloud, we build for on-premises infrastructure, including container platforms inside your own environment. It is a constraint we design around rather than an objection we try to argue past.
02How do you deploy without clinical downtime?
By making rollback routine before making deployment frequent. We establish and rehearse a tested rollback path first, then increase release frequency inside whatever maintenance window is clinically acceptable. Frequency without reversibility is how clinical systems get hurt.
