Microsoft Healthcare United Kingdom

Oxford University Hospitals

IT Operations Automation

OUH wanted to enable its staff to innovate with generative AI technologies in a safe, secure, and compliant way.

Admin time saving of 2-3 hours per week More efficient working for teams Oxford University Hospitals NHS Foundation Trust (OUH) is one of the UK's largest teaching hospital trusts.
It used to take Liz 90 minutes to write up the meeting notes for meetings which were taking place two or three times per week.
One colleague in the information governance team reported that complex formatting tasks which used to take 15 to 20 minutes each time were now reduced down to a matter of seconds.
She now uses Copilot to reduce that admin time to 25 minutes-effectively making a time saving of two to three hours per week.

Reported impact

Business outcome

Admin time saving of 2-3 hours per week More efficient working for teams Oxford University Hospitals NHS Foundation Trust (OUH) is one of the UK's largest teaching hospital trusts.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Risk Reduction

Solution

Oxford University Hospitals built its Microsoft solution to improve employee-productivity and operational workflows. OUH wanted to enable its staff to innovate with generative AI technologies in a safe, secure, and compliant way. Key components included Microsoft 365 Copilot delivered dashboards, apps, or copilots to users, and Microsoft Power Platform coordinated workflows, prompts, or deployment. User prompts and domain content are orchestrated through Microsoft 365 Copilot, processed by Microsoft 365 Copilot, and then delivered through Microsoft 365 Copilot so Oxford University Hospitals can return context-aware answers or automation in the flow of work. The stack stayed governed and extensible on Microsoft. Admin time saving of 2-3 hours per week More efficient working for teams Oxford University Hospitals NHS Foundation Trust (OUH) is one of the UK's largest teaching hospital trusts.

Data flow

User prompts and domain content are orchestrated through Microsoft 365 Copilot, processed by Microsoft 365 Copilot, and then delivered through Microsoft 365 Copilot so Oxford University Hospitals can return context-aware answers or automation in the flow of work.

Solution architecture

3 components · 2 layers
  1. Serving
    • Microsoft 365 Copilot Provides embedded generative-AI assistance inside everyday employee productivity workflows.
    • Power Apps Presents low-code business applications that connect frontline staff to operational data.
  2. Orchestration
    • Microsoft Power Platform Supports low-code automation and app development around Microsoft business data.

Architecture clues

  • Lee Massie is aware that the interest from the clinical teams must be matched with clinical governance and risk management.
  • One colleague in the information governance team reported that complex formatting tasks which used to take 15 to 20 minutes each time were now reduced down to a matter of seconds.
  • The digital team is working closely with the information governance team to put the right processes in place.
  • Working with Microsoft to deploy Copilot meant we could be very comfortable with the security element of the tooling." "Copilot sits in our Microsoft environment and we can be as restrictive as we want with its implementation.

Evidence from the source

Admin time saving of 2-3 hours per week More efficient working for teams Oxford University Hospitals NHS Foundation Trust (OUH) is one of the UK's largest teaching hospital trusts.
It used to take Liz 90 minutes to write up the meeting notes for meetings which were taking place two or three times per week.
OUH implemented Microsoft 365 Copilot to maximise the return on investment from its existing Microsoft investments.
OUH wanted to enable its staff to innovate with generative AI technologies in a safe, secure, and compliant way.
One colleague in the information governance team reported that complex formatting tasks which used to take 15 to 20 minutes each time were now reduced down to a matter of seconds.
She now uses Copilot to reduce that admin time to 25 minutes-effectively making a time saving of two to three hours per week.
Transparency Evidence & methodology 95/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Oxford University Hospitals customer story

    First-party
    https://www.microsoft.com/en/customers/story/18859-oxford-university-hospitals-nhs-foundation-trust-microsoft-365-copilot
    Source type
    Vendor-published customer story
    Published
    Sep 30, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Sep 30, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.