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Industries · Healthcare & life sciences

Process clinical data on your own servers, full stop.

Patient information is the most protected data a trust holds. A cloud AI tool processes it by receiving it — the one thing that must not happen. Air-gapped AI keeps clinical data inside the trust and under its governance.

The specific risk

Special category data does not belong on someone else's server.

A clinician uses a cloud AI assistant to draft notes from a consultation. The patient's symptoms, history, and identity now sit with an external processor, often outside the UK. Health data is special category data under UK-GDPR; this is the category that carries the gravest consequences when it leaks.

The clinical benefit of AI — faster notes, less administrative load — is real and worth having. It is available without the exposure. Run the model on the trust's own hardware and the patient's data never leaves the trust's governance.

Relevant solutions

The capabilities that fit a clinical setting.

Compliance context

The regimes a clinical AI deployment must support.

NHS Data Security and Protection Toolkit (DSPT)

The DSPT is an annual online self-assessment that health and care organisations complete to evidence they meet the National Data Guardian's ten data security standards. Processing clinical data on the trust's own infrastructure, with no external API calls, supports that submission rather than complicating it.

Caldicott Principles

The Caldicott Principles govern the lawful, appropriate handling of confidential patient information, overseen within each organisation by a named Caldicott Guardian. Keeping processing on-premise, with a full audit trail under local governance, keeps the Guardian in control of every use.

Article 9 special category data

Health data is special category data under UK-GDPR and attracts the highest level of protection. Sending it to a cloud AI processor introduces a third party into the most sensitive class of data the trust holds. On-premise processing removes that processor.

A realistic deployment

Anonymised · illustrative

A trust in the South West wants to reduce the administrative load of clinical documentation. Its information governance team rules out any tool that sends patient audio or records to an external service, and its DSPT submission depends on demonstrable control of data.

Electric Azimuth deploys a transcription server inside the trust's network. Dictation and meeting audio are transcribed locally, with a full audit trail under the Caldicott Guardian's oversight, and nothing reaches an external processor. The deployment is documented to support the relevant DSPT standards, and extends naturally into structuring legacy paper records on the same boundary.

Give clinicians AI without giving up patient data.

Book a feasibility call, or ask for the briefing that maps Electric Azimuth to the DSPT and the Caldicott Principles for your information governance team.

Book a feasibility call