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Industries

Healthcare & life sciences

These organisations work with patient data that cannot be moved, must produce clinical safety cases to support deployment, and need to maintain a clear separation between systems that support a clinical decision and systems that make one.

What makes this sector different

The clinical decision boundary

A system that routes and summarises falls into a different regulatory category from one that makes recommendations. Maintaining that distinction in practice depends on design decisions rather than on disclaimers in the interface.

Clinical safety cases

Safety argumentation requires evidence covering failure modes, including errors of omission, which are expensive to measure and consequently often overlooked.

Patient data residency

Data protection and information governance requirements make on-premises or sovereign deployment the default rather than the exception.

Validation in regulated manufacturing

In life sciences, computerised system validation expectations shape the release process to at least the same degree as the software itself.

Workloads that come up

  • Clinical correspondence triage and routing
  • Referral and letter summarisation for a clinician
  • Coding and documentation support
  • Literature and protocol retrieval
  • Adverse event narrative drafting for human review

Frameworks in play

ISO/IEC 42001Clinical safety standardsData protection regimesGxP validation expectationsEU AI Act (where in scope)

Two patterns we deploy here

Designed refusal boundary

Anything ambiguous or outside the defined scope is passed through unaltered to the existing manual queue rather than summarised with a caveat attached. The system’s declining behaviour is specified and tested as a requirement in its own right.

Evidence presented alongside the summary

Source passages are displayed inline with the generated summary, so that a clinician reviews both together rather than relying on one in preference to the other.

Related case studies →

Start with the constraint.

Most of these projects are shaped by what you cannot do rather than what you want. Data that cannot leave the estate, a model you cannot host with a third party, a decision somebody has to justify to a regulator. Tell us yours and we will say honestly whether we can work inside it.