GP practices are buried in admin — exactly where AI can help, if done within NHS data rules. Here’s how UK practices can adopt AI in 2026. (dgm implements osFoundry as an independent partner; clinical responsibility stays with the practice.)
Where AI helps GP practices
The high-value, lower-risk use cases are administrative:
- documentation — ambient scribing, letter and report drafting;
- correspondence and referral triage — organising and prioritising incoming items;
- patient-query handling — routine, non-clinical questions; and
- back-office — recalls, admin workflows.
All with clinician review — AI cuts admin so clinicians spend more time on care, while clinical decisions stay human.
The rules
GP practices are largely independent contractors under NHS contract, carrying data-controller responsibilities. The relevant gates:
- NHS Information Governance and the DSPT;
- DTAC for digital tools; and
- UK GDPR — patient data is special-category, so consent and human oversight are central.
The clinical line
AI that makes clinical decisions may be a regulated medical device (MHRA). The faster, lower-risk path is AI that handles admin and surfaces information for clinicians — not autonomous clinical triage.
The common risk
The biggest practical risk is staff using consumer AI tools with patient data — a data-protection problem. An approved, governed setup that keeps patient data in your control prevents it.
Where osFoundry and dgm fit
dgm implements IG-aware AI on osFoundry: data control (self-host or an EU region — it publishes US/EU/JP regions, not a UK one), audit logging, human oversight, and bring-your-own-key so patient data isn’t sent to consumer tools. Focused on admin use cases that deliver quick relief without entering medical-device territory.
dgm is an independent integration partner with zero integrations so far — no GP case studies to claim. Clinical responsibility stays with the practice. To scope an IG-compliant AI project, book a consultation with dgm. Not clinical or regulatory advice.