AI scribe for clinical encounters at a multi-site NHS trust

The client is a multi-site NHS trust employing hundreds of clinicians across several hospitals, where administrative load is a well-known driver of both burnout and lost patient-facing time. Any tool touching clinical records sits inside a strict information-governance boundary and must be DSPT-compliant.

Clinicians wanted their time back, but the trust could not accept anything that moved patient data outside its governance perimeter or added risk to an already stretched environment. Safety and compliance were preconditions, not features.

Clinicians spent hours typing up notes instead of seeing patients, a direct tax on the scarcest resource in the trust. The documentation burden fell heaviest on exactly the staff whose time was most valuable at the bedside.

Any solution had to be DSPT-compliant and keep every piece of patient data inside the trust's governance boundary, which ruled out consumer tools and most cloud shortcuts. Convenience could not come at the cost of information governance.

And clinicians had to stay firmly in control of the record: an automated note that could not be reviewed and corrected before it entered the record was a clinical-safety risk, not a time-saver.

We deployed an ambient AI scribe that drafts the clinical note from the encounter itself, leaving the clinician to review, correct, and sign. The machine handles the transcription and structuring; the clinician owns what enters the record.

Every note stayed inside the trust's governance boundary and the deployment was DSPT-compliant from day one of the pilot, so information governance signed off on the basis of how it actually worked, not a promise to harden it later.

We piloted with a single group of clinicians first, tuning the drafts against their real encounters and specialties before widening access, so accuracy reflected genuine consultations rather than a demo script.