---
title: "Digital Dictation, Speech Recognition with Generative AI, and Outsourced Transcription"
ocid: "ocds-h6vhtk-04fe99"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-04fe99"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-04fe99.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-04fe99.json"
source: "Find A Tender Service"
current_stage: "Planning"
buyer: "UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST"
published: "2025-05-02"
---

# Digital Dictation, Speech Recognition with Generative AI, and Outsourced Transcription

Buyer: UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST  
Current stage: Planning  
OCID: ocds-h6vhtk-04fe99

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## Summary

The University Hospitals Birmingham NHS Foundation Trust is currently in the planning phase for a significant procurement process titled "Digital Dictation, Speech Recognition with Generative AI, and Outsourced Transcription." As a central government public authority, they aim to enhance their digital documentation processes across their comprehensive network of hospitals and community services. This procurement is divided into three lots, targeting digital dictation, generative AI-driven speech recognition, and system-agnostic outsourced transcription. Potential suppliers are invited to participate in a market engagement exercise, with responses due by 15:00 on Tuesday, 6th May 2025. The project's anticipated contract period runs from 30th November 2025 to 29th December 2030, with possible extensions until 2032. Interested parties should note that the procurement address is in Birmingham, UK, and focuses on service-based solutions in the healthcare sector.

This tender presents a substantial opportunity for businesses specialising in voice recognition software, document management solutions, and outsourced transcription services. Particularly suitable for SMEs, the procurement seeks innovative solutions to streamline clinical documentation processes, allowing for faster patient communication and enhanced operational efficiencies. Companies with expertise in developing generative AI technologies or providing system-compatible transcription services stand to benefit from the various lots on offer, each formulated to modernise and improve the Trust's existing infrastructure. Engaging with this procurement could foster business growth, providing a platform to showcase cutting-edge technological solutions that align with healthcare transformation goals.

## Notice

University Hospitals Birmingham NHS Foundation Trust ("UHB") is one of the UK's largest NHS Trusts that runs the Queen Elizabeth Hospital Birmingham, Birmingham Chest Clinic, Heartlands Hospital, Good Hope Hospital, Solihull Hospital, and various community services across the region, and is one of the highest performing Health organisations in Europe with a proven international reputation for its quality of care, information technology, clinical education and training and research. The trust has 2,366 in-patient beds over 105 wards in addition to 115 children's beds and 145 day case beds. The trust operates 7,127 outpatients' and 304 community clinics per week with a workforce of over 20,000 members of staff. UHB is looking to procure up to four solutions, split into three lots. The procurement process will be subject to business case approval and this Pre-Market Engagement Exercise will help form the tender process. The lots are shown below: * Lot 1: Digital Dictation * Lot 2: Speech Recognition with Generative AI * Lot 3: Outsourced Transcription

### Planning Information

Lot 1: Digital Dictation Where UHB references digital dictation, this encompasses the process from a clinician creating a new dictation/letter, through to the document completion with distribution to EDMS, EDT, print and external print. A representation of the as-is process can be seen in the below process map: Lot 2: Speech Recognition with Generative AI With the introduction of speech recognition we intend to transform this process to be more streamlined, needing fewer inputs and leading to a quicker turnaround time for patient letters. A representation of the to-be process can be found in the below process map: The flow using a Generative AI solution has not yet been mapped, as this hasn’t been trialled within the Trust. Following supplier selection, we would be keen to get a pilot up-and-running as soon as possible so the benefits of this process can be realised. UHB Lot 3: Outsourced Transcription If a supplier is only responding to Lot 3 for outsourced transcription, the solution must be system agnostic as our digital dictation supplier will be selected as part of the same procurement exercise. Following this procurement, the intention of UHB is to reduce our spend on outsourcing with the introduction of speech recognition. This will be progressive due to the size and geography of UHB making it impractical to go for a big-bang approach. Suppliers wishing to participate in this market engagement exercise and express an interest in this requirement should respond to the questionnaire via the online form on the Health Family Single eCommercial System Portal (Atamis) by 15:00 on Tuesday 6th May 2025. https://health-family.force.com/s/Welcome Please search for C352502 To View documents please register interest and then navigate "My Proposals and quotes"

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/018741-2025 |
| Notice type | UK2 - Preliminary Market Engagement Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Not Specified |
| Procurement method details | Not specified |
| Tender suitability | SME |
| Awardee scale | Not specified |
| All stages | Planning |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 2 May 2025 |
| Submission deadline | Not specified |
| Future notice date | 1 Nov 2025 |
| Award date | Not specified |
| Contract period | 30 Nov 2025 - 29 Dec 2030 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Planning |
| Lots status | Planning |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST |
| Locality | BIRMINGHAM |
| Post town | Birmingham |
| Postcode | B15 2GW |
| Country | England |
| ITL 1 | TLG West Midlands (England) |
| ITL 2 | TLG3 West Midlands |
| ITL 3 | TLG31 Birmingham |
| Local authority | Birmingham |
| Electoral ward | Edgbaston |
| Westminster constituency | Birmingham Edgbaston |
| Delivery location | Not specified |

## CPV Codes

### Divisions

- 32 - Radio, television, communication, telecommunication and related equipment
- 48 - Software package and information systems
- 72 - IT services: consulting, software development, Internet and support
- 79 - Business services: law, marketing, consulting, recruitment, printing and security

### Codes

- 32332100 - Dictating machines
- 32344110 - Voice-logging system
- 48311000 - Document management software package
- 48314000 - Voice recognition software package
- 48517000 - IT software package
- 72212314 - Voice recognition software development services
- 79550000 - Typing, word-processing and desktop publishing services

## Release History

- 2 May 2025 at 11:37 - PlanningUpdate - UK2 - Preliminary Market Engagement Notice - https://www.find-tender.service.gov.uk/Notice/018741-2025
- 8 Apr 2025 at 10:16 - Planning - UK2 - Preliminary Market Engagement Notice - https://www.find-tender.service.gov.uk/Notice/013589-2025

## Documents

- https://www.find-tender.service.gov.uk/Notice/018741-2025
  2nd May 2025 - Preliminary market engagement notice on Find a Tender
- https://www.find-tender.service.gov.uk/Notice/013589-2025
  8th April 2025 - Preliminary market engagement notice on Find a Tender

## Notice URLs

- https://health-family.force.com/s/Welcome
- https://www.health-family.force.com/s/Welcome
- https://www.legislation.gov.uk/ukpga/2023/54/contents

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-04fe99. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-04fe99.json.