Healthcare
In healthcare the constraints come first. Patient data, clinical safety and interoperability are not requirements to gather later — they decide the architecture before a feature is written.
Constraints that shape the build.
Healthcare software is judged on whether it is safe, auditable and able to exchange data with systems it does not control. Everything else follows from that.
Patient data with real obligations
Access, retention and audit are regulatory requirements with consequences, not internal policy that can be tightened later.
Interoperability is not optional
HL7 and FHIR exchange with systems you do not own, each with its own interpretation of the standard.
Clinical safety must be evidenced
Risk assessment and hazard logs are deliverables in their own right, and they cannot be produced retrospectively with any credibility.
Workflows built around clinicians
Software that adds clicks to a consultation does not get used, whatever it does. Time in the room is the binding constraint.
Design for safety, audit and exchange from the start.
Understand the clinical workflow
Observed in practice, including what clinicians currently work around and why.
Design for protection
Role-based access, minimum necessary data, retention and audit built into the model rather than added to it.
Build for exchange
FHIR or HL7 interfaces designed against the systems you actually integrate with, not against the standard in the abstract.
Evidence safety
Hazard log and clinical risk assessment maintained through delivery, so assurance is documented as you go.
Software clinicians will actually use.
What changes for the people doing the work, not just for the systems behind them.
- Role-based access and audit trails designed in, not retrofitted
- FHIR or HL7 interfaces built against the systems you exchange with
- A hazard log and risk assessment maintained through delivery
- Workflows that remove clicks from a consultation rather than adding them
- Data retention and minimisation enforced by the platform
- Documentation your governance process can actually review
What we usually bring to this sector.
The things this sector asks first.
Yes, and we plan for it. Clinical safety assurance and information governance review take real time, and a plan that treats them as a formality at the end is a plan that slips. We build the evidence as we go so review has something to look at.
With synthetic or properly de-identified data. Copying live patient records into a test environment is a common shortcut and a serious risk, and we will not do it. Generating realistic synthetic data is part of the work.
Usually, through FHIR or HL7 where the vendor supports it. The honest caveat is that vendor implementations of a standard vary considerably, so integration effort is discovered against the specific systems rather than assumed from the standard.
Carefully, and rarely in the decision itself. Administrative uses — summarising, coding, triage support with a clinician in the loop — are where the value is today. Anything that influences a clinical decision brings regulatory obligations, and we would flag that before scoping it.
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