Less admin. More time for patients.

Where does AI help most in healthcare?

Administration. Staff spend hours on letters, appointment changes, inbox triage and repeated patient questions. AI can draft, sort and summarise that work for a person to check. In NHS England's Microsoft 365 Copilot trial, staff saved an average of 43 minutes a day on admin. Private providers can see similar gains on their own workflows.

• Clinic letters and discharge summaries drafted from structured notes
• Referral and inbox triage with routing to the right team
• Patient enquiry assistant for opening times, preparation and policies
• Appointment reminders and rescheduling workflows
• Policy and guideline search for staff

What are DCB0129 and DCB0160, and do they apply?

They are the NHS clinical risk management standards for health IT. DCB0129 applies to manufacturers of systems used in patient care, and DCB0160 to the organisations that deploy them. If an AI tool could affect clinical decisions, both apply. NHS England is reviewing the standards to reflect AI, so we design for clinical safety from the outset.

For purely administrative tools the standards may not apply, but we still keep a hazard log, test outputs and keep a human reviewer in place. That protects patients and makes procurement easier later.

What should a provider automate first?

Pick a high-volume administrative task with low clinical risk, such as patient enquiries or appointment correspondence. Measure current volumes and handling time, run a supervised pilot, and only extend to clinically adjacent tasks once governance, testing and staff confidence are in place.

How is patient data protected?

Health data is special category data under UK GDPR, so we minimise it, use providers that contractually do not train on it, host in the UK or EU where possible and complete a data protection impact assessment with you. If you handle NHS patient data, we align with the Data Security and Protection Toolkit expectations.