Award

YIC - Chest X-Ray Imaging A.I Solution

LEEDS TEACHING HOSPITALS NHS TRUST

This public procurement record has 1 release in its history.

Award

09 Apr 2024 at 09:25

Award Notice
Summary of the contracting process

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.

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Notice Information

Notice Title

YIC - Chest X-Ray Imaging A.I Solution

Notice Description

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.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-b15513c8-4dbb-4272-934e-c0505f758a1a
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/a647f003-18d5-4609-a5bb-66acbb48fc65
Current Stage
Award
All Stages
Award

Procurement Classification

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

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems

CPV Codes

48329000 - Imaging and archiving system

Notice Value(s)

Tender Value
£800,000 £500K-£1M
Lots Value
Not specified
Awards Value
£800,000 £500K-£1M
Contracts Value
Not specified

Notice Dates

Publication Date
9 Apr 20241 years ago
Submission Deadline
19 Feb 2024Expired
Future Notice Date
Not specified
Award Date
26 Mar 20241 years ago
Contract Period
31 Mar 2024 - 31 Mar 2026 1-2 years
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
LEEDS TEACHING HOSPITALS NHS TRUST
Contact Name
Tom Bradley
Contact Email
thomas.bradley1@nhs.net
Contact Phone
07393008456

Buyer Location

Locality
LEEDS
Postcode
LS9 7TF
Post Town
Leeds
Country
England
Major Region (ITL 1)
TLE Yorkshire and The Humber
Basic Region (ITL 2)
TLE4 West Yorkshire
Small Region (ITL 3)
TLE42 Leeds
Delivery Location
Not specified
Local Authority
Leeds
Electoral Ward
Gipton & Harehills
Westminster Constituency
Leeds East

Supplier Information

Number of Suppliers
1
Supplier Name

ANNALISE.AI

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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