---
title: "YIC - Chest X-Ray Imaging A.I Solution"
ocid: "ocds-b5fd17-b15513c8-4dbb-4272-934e-c0505f758a1a"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-b15513c8-4dbb-4272-934e-c0505f758a1a"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-b15513c8-4dbb-4272-934e-c0505f758a1a.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-b15513c8-4dbb-4272-934e-c0505f758a1a.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "LEEDS TEACHING HOSPITALS NHS TRUST"
published: "2024-04-09"
---

# YIC - Chest X-Ray Imaging A.I Solution

Buyer: LEEDS TEACHING HOSPITALS NHS TRUST  
Current stage: Award  
OCID: ocds-b5fd17-b15513c8-4dbb-4272-934e-c0505f758a1a

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## Summary

The Leeds Teaching Hospitals NHS Trust has awarded a contract for the provision of an Imaging and archiving system titled "YIC - Chest X-Ray Imaging A.I Solution". The procurement method used was selective, with a call-off from a dynamic purchasing system. The tender period ended on 19th February 2024, and the contract period is from 1st April 2024 to 31st March 2026. The contract value is £800,000. The buying organisation, Leeds Teaching Hospitals NHS Trust, is located in Leeds, United Kingdom, with the procurement stage at the award phase.

This contract presents an opportunity for businesses operating in the services sector, specifically those offering imaging and archiving system solutions. Companies with expertise in AI technology and healthcare imaging are well-suited to compete for this tender. The selected supplier, Annalise.ai, based in London, UK, won the contract. This tender aims to enhance healthcare processes by introducing an AI tool for pre-reading chest radiographs, improving diagnostic speed and accuracy while benefiting patients and healthcare professionals.

## Notice

Chest X-ray A.I Solution for the Yorkshire Imaging Collaborative. Funding via the NHSE A.I Development Fund . With this fund we will introduce a single Chest X-ray AI tool to pre-read all chest radiographs for our whole population in every clinical setting immediately after acquisition so that the AI interpretation will be available at the point of front-line clinical contact for doctors and the growing spectrum of non-medical health professionals. The most pivotal benefit will be derived from an "AI first read" with labelling of suspected pathology for care providers who formerly waited a median 7-days (max 10-days) for a full radiological report. In addition, AI triaging of "normal vs abnormal" will accelerate local human reporting of studies where abnormal findings were found, to allow faster critical alerting of important time sensitive findings. YIC is already fully network level compliant with the RCR Critical Alerts Guidance (2023). YIC will carry out an early deployment into our network pilot test site using DICOM secondary capture, this will allow early benefit realisation as well as engineering work to create a deep integration template which can be rapidly deployed to the other member Trusts. Important targeted pathway improvements we wish to affect and improve are: * Time to diagnosis and treatment in (chest derived) sepsis - Improving Outcomes of Patients with Sepsis, pub. December 2015 and Surviving Sepsis: Antibiotic Timing Guidelines. Society of Critical Care Medicine, pub. October 2021). * Reduction of Never Events in placement of NG feeding tubes in hospitals (NHS England National Patient Safety Alert. pub. 2013). Recent Regulation 28 report. * Faster 'time to use' of NG feeding tubes for critical drug and nutritional administration * Improvement in consistency and speed of lung cancer detection on chest radiographs. As a region West Yorkshire has amongst the highest incidence of lung cancer in England. (Cancer registration statistics, England: 2017 [Internet]. ONS Report. 2019). * Improved 'time to MDT' for suspected lung cancers by AI pre-reading and prioritising formal reporting of abnormal studies.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/a647f003-18d5-4609-a5bb-66acbb48fc65 |
| Notice type | Award Notice |
| Procurement type | Dynamic |
| Procurement category | Services |
| Procurement method | Selective |
| Procurement method details | Call-off from a dynamic purchasing system |
| Tender suitability | Not specified |
| Awardee scale | SME |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 9 Apr 2024 |
| Submission deadline | 19 Feb 2024 |
| Future notice date | Not specified |
| Award date | 26 Mar 2024 |
| Contract period | 31 Mar 2024 - 31 Mar 2026 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £800,000 |
| Lots value | Not specified |
| Awards value | £800,000 |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Not specified |
| Awards status | Active |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | LEEDS TEACHING HOSPITALS NHS TRUST |
| Locality | LEEDS |
| Post town | Leeds |
| Postcode | LS9 7TF |
| Country | England |
| ITL 1 | TLE Yorkshire and The Humber |
| ITL 2 | TLE4 West Yorkshire |
| ITL 3 | TLE42 Leeds |
| Local authority | Leeds |
| Electoral ward | Gipton & Harehills |
| Westminster constituency | Leeds East |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | ANNALISE.AI |

## CPV Codes

### Divisions

- 48 - Software package and information systems

### Codes

- 48329000 - Imaging and archiving system

## Release History

- 9 Apr 2024 at 09:25 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/a647f003-18d5-4609-a5bb-66acbb48fc65

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/a647f003-18d5-4609-a5bb-66acbb48fc65
  9th April 2024 - Awarded contract notice on Contracts Finder

## Provenance

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