FOI release

AI Systems

Case reference FOI2026/01171

Received 15 April 2026

Published 2 June 2026

Request

Dear FOI team, I would like to request the following information: AI system information 1. How many artificial intelligence (AI) systems does your trust/health board currently have in development and what is the name of the AI system? 2. How many AI systems are currently deployed within your trust/health board and what is the name of the AI system? 3. For every AI model currently being used or developed in your trust: 3a. Is the AI model being used operationally, clinically, or for another purpose? 3b. What department(s) is the AI system being used in? 3c. What month and year was the AI system first deployed? (n/a if in development). 3d. Was the AI system created by a commercial entity, university, in-house, or within another NHS trust? Please give the name of the organisation. 3e. What is the AI systems architecture? (e.g. deep neural network, random forest, logistic regression, large language model). 3f. Which coding language and packages are used to deploy the AI system? (e.g. python - scikit-learn, pytorch, tensorflow) 3g. What is the nature of the input of the AI system? (e.g. a medical scan, free text notes, tables of lab results). 3h. What is the nature of the output of the AI system? (e.g. a masked image, a risk score, natural text). 3i. How was the AI system validated in the target population before deployment? 3j. What measures are in place to monitor for degradation in the performance of the AI system post-deployment? 3k. What was the cost to procure the AI model and what is the ongoing cost of use? 3l. Which departmental budget is the cost paid from? Data management 4. Was any local patient data used for training or fine tuning the AI system? 5. Is any patient data collected specifically for the purpose of training any of the AI systems currently in development or deployment? 6. Do you share, or plan to share, any patient data with third-party developers for AI-related purposes? If yes, please provide details of the data-sharing agreement or relevant policy. Regulation 7. What is the regulation and certification of the AI model under the European Union Medical Device Directive and/or United Kingdom Medicines and Healthcare products Regulatory Agency (MHRA)? Patient/public involvement 8. Was any patient/public engagement undertaken before deployment of the AI system? 9. Is there any ongoing patient/public engagement input into the use of AI within your organisation? Governance 10. Who has responsibility for the AI systems being using? 11. Does your organisation have a governance policy that covers: 11a. Use of AI systems within your organisation? 11b. Ongoing evaluation of an AI model's performance after deployment? 11c. How to monitor for bias in the AI system and how to mitigate against this?

Response

AI system information
1. How many artificial intelligence (AI) systems does your trust/health board currently have in development and what is the name of the AI system?
There are no AI systems in development internally by the Trust.
2. How many AI systems are currently deployed within your trust/health board and what is the name of the AI system?
The known corporate solution being used as an AI solution is Microsoft’s Copilot. Any other solutions that include AI are yet to be formally recognised and approved.
3. For every AI model currently being used or developed in your trust:
3a. Is the AI model being used operationally, clinically, or for another purpose?
Copilot, that leverages language models, is used operationally and corporately.
3b. What department(s) is the AI system being used in?
Across the whole Trust in operational and corporate spaces.
3c. What month and year was the AI system first deployed? (n/a if in development).
January 2024
3d. Was the AI system created by a commercial entity, university, in-house, or within another NHS trust? Please give the name of the organisation.
Microsoft
3e. What is the AI systems architecture? (e.g. deep neural network, random forest, logistic regression, large language model).
Information regarding how Microsoft Copilot works is available publicly.
3f. Which coding language and packages are used to deploy the AI system? (e.g. python - scikit-learn, pytorch, tensorflow)
Information regarding how Microsoft Copilot works is available publicly.
3g. What is the nature of the input of the AI system? (e.g. a medical scan, free text notes, tables of lab results).
Information regarding how Microsoft Copilot works is available publicly.
3h. What is the nature of the output of the AI system? (e.g. a masked image, a risk score, natural text).
Information regarding how Microsoft Copilot works is available publicly.
3i. How was the AI system validated in the target population before deployment?
Information regarding how Microsoft Copilot works is available publicly.
3j. What measures are in place to monitor for degradation in the performance of the AI system post-deployment?
Information regarding how Microsoft Copilot works is available publicly.
3k. What was the cost to procure the AI model and what is the ongoing cost of use?
Costs change depending on contract year and available discounts with Microsoft. The approximate annual spend is c.£200k.
3l. Which departmental budget is the cost paid from?
Digital

Data management

4. Was any local patient data used for training or fine tuning the AI system?
No
5. Is any patient data collected specifically for the purpose of training any of the AI systems currently in development or deployment?
No
6. Do you share, or plan to share, any patient data with third-party developers for AI-related purposes? If yes, please provide details of the data-sharing agreement or relevant policy.
No

Regulation

7. What is the regulation and certification of the AI model under the European Union Medical Device Directive and/or United Kingdom Medicines and Healthcare products Regulatory Agency (MHRA)?
Information regarding how Microsoft Copilot works is available publicly.

Patient/public involvement

8. Was any patient/public engagement undertaken before deployment of the AI system?
No
9. Is there any ongoing patient/public engagement input into the use of AI within your organisation?
No

Governance

10. Who has responsibility for the AI systems being using?
Responsibility is with those that use the system.
11. Does your organisation have a governance policy that covers:
11a. Use of AI systems within your organisation?
Yes
11b. Ongoing evaluation of an AI model's performance after deployment?
Yes
11c. How to monitor for bias in the AI system and how to mitigate against this?
No

Documents

There are no documents for this release.

This is Oxford University Hospitals NHS Foundation Trust's response to a freedom of information (FOI) or environmental information regulations (EIR) request.

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