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University Hospitals Birmingham NHS Foundation Trust

UHB Ambient Voice Technology Pre-Market Engagement

Forecast · PlanningNo open deadline

Forecast: a planned procurement that is not yet at tender stage.

01/ The notice

Key facts

Value
£500,000Estimated value stated in the notice
Deadline (UK time)
No open deadlineA deadline does not apply to this forecast notice.
Published
24 Apr 2026
Region
Not stated

02/ The brief

What the notice says

Not fully read: this is the notice text; attached documents are not read.

University Hospitals Birmingham NHS Foundation Trust (“UHB”) is one of the UK’s largest NHS Trusts, operating across multiple hospital sites including Queen Elizabeth Hospital Birmingham, Heartlands Hospital, Good Hope Hospital, and Solihull Hospital, in addition to a wide range of community services across the region. UHB is recognised as a leading healthcare organisation with an international reputation for quality of care, digital innovation, clinical education, and research.

UHB is seeking to procure a trust-wide Ambient Voice Technology (AVT) solution with Generative AI capabilities to support clinical and operational documentation across a wide range of care settings and business functions. The procurement process will be subject to business case approval.

The Authority is seeking a solution capable of supporting:

• Ambient voice capture

• Speech-to-text transcription

• Generative AI summarisation

• Clinical documentation generation

• Structured template outputs

• Meeting summarisation

• Action extraction

• Letters and document creation

• Integration with UHB’s homegrown EPR (PICS)

• Standalone and embedded deployment models

• Trust-wide rollout across clinical, operational and corporate use cases

This procurement replaces the traditional model of digital dictation, speech recognition, and outsourced transcription with a modern Ambient Voice Technology approach.

The Authority is seeking solutions that are mature and have demonstrable deployment within healthcare environments, preferably within Acute NHS Trusts. Solutions should be live or ready for deployment, with evidence of operational use in comparable settings.

Given the pace of technological advancement in Ambient Voice Technology and Generative AI, the Authority also expects suppliers to demonstrate the ability to evolve their offering over time, respond to emerging NHS requirements, and maintain alignment with market developments. This includes the ability to introduce enhancements, support new use cases, and adapt to changing clinical, operational, and regulatory needs throughout the lifecycle of the contract.

The Authority is therefore interested in solutions that combine proven, deployable capability with the flexibility to accommodate future developments, ensuring the Trust can continue to benefit from advances in Ambient Voice Technology while maintaining service stability and continuity.

Please see the Briefing note within the PME documents for more information.

03/ Classification

CPV codes

Common Procurement Vocabulary codes, exactly as the notice lists them. No descriptions are added here.

  • 48000000

04/ History

Releases of this notice

One release held, oldest first. Dates are UK time.

  1. 24 Apr 2026
    Planning notice

    Planning notice published 24 April 2026.

    Release 037794-2026

    View this release on Find a Tender (opens in a new tab)

05/ Limits

What the source does not tell us

  • Only one release is held, so there is no change history.

06/ Questions

About this notice

University Hospitals Birmingham NHS Foundation Trust published this notice.

Estimated value stated in the notice: £500,000.

07/ Related

Where to go next

These links follow a fixed rule applied to this notice’s buyer, text and CPV codes. They are not advice on whether to bid.

Reference
ocds-h6vhtk-068b22
Source
Find a Tender
Stage
planning · Planning
Last verified
Fri 1 May 2026, 08:12 BST
Read at
Mon 19 Oct 2026, 11:18 BST

Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.

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