What challenges did NHS face before AI implementation?

High administrative burden reducing time clinicians can spend with patients Outdated manual processes in clinical coding, triage, and patient documentation Need to improve patient outcomes by modernizing workflows

What was the impact of the AI solution?

Estimated £6 million annual savings in administrative/corporate automation Freed up clinical time for patient care Increased capacity for surgeries and reduced wait times Enhanced patient and clinician experience

Source

Microsoft

NHS transforms clinical operations and patient care with AI automation

Use case typeClinical documentationUpdated Jun 13, 2026

NHS trusts University Hospitals of Leicester (UHL) and University Hospitals of Northamptonshire (UHN) partnered with Microsoft to integrate AI solutions for healthcare delivery, administration, and support services. AI was embedded in Electronic Patient Records and other workflow tools, including AI scribes for consultations, automated clinical coding, and triage solutions. The transformation aims to reduce administrative burden, allowing clinicians more time for patient care and improving the efficiency of operations. With this approach, NHS aims to eliminate manual tasks wherever a digital or AI solution performs better or equally by 2027. Projected annual savings of £6 million have been identified in corporate service automation, with positive impacts already seen in clinical support functions.

Organization: NHS
Industry: Healthcare
Location: United Kingdom
Published: July 2025

Reported outcomes

Strategic outcomes

New product / capabilityIntegrated AI into clinical workflowsCustomer experience & trustImproved patient and clinician experienceSpeed & agilityReduced administrative burden on cliniciansEcosystem & partnershipsPartnered with Microsoft for digital transformation

Primary read

Use case focus

Showing 3 of 3

1AI-Driven Clinical Documentation Automation
2AI-Powered Clinical Coding and Triage
3Healthcare Administrative Workflow Automation

High administrative burden reducing time clinicians can spend with patients
Outdated manual processes in clinical coding, triage, and patient documentation
Need to improve patient outcomes by modernizing workflows

Integrated AI tools into Electronic Patient Records and clinical workflows, such as ambient AI scribes
Automated clinical coding and triage
Partnered with Microsoft to enhance digital infrastructure and clinical workflow innovation

Technologies

Azure OpenAI AI scribes

Estimated £6 million annual savings in administrative/corporate automation
Freed up clinical time for patient care
Increased capacity for surgeries and reduced wait times
Enhanced patient and clinician experience

Architecture

AI is integrated into core Electronic Patient Records, automates elements like clinical documentation (AI scribes), clinical coding, and basic triage. Automated workflow tools interact with administration and care delivery systems to provide real-time support, insights, and process automation.

Sources & evidence1

Groundedness: Unavailable

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence