Published date: 9 April 2024
Awarded contract - This means that the contract has been awarded to a supplier.
Contract summary
Industry
Imaging and archiving system - 48329000
Location of contract
LS9 7TF
Value of contract
£600,000 to £800,000
Procurement reference
CF-2295800D0O000000rwimUAA
Published date
9 April 2024
Closing date
19 February 2024
Closing time
12pm
Contract start date
1 April 2024
Contract end date
31 March 2026
Contract type
Service contract
Procedure type
Call-off from a dynamic purchasing system
A mini-competition or direct purchase from a pre-established dynamic purchasing system.
Contract is suitable for SMEs?
No
Contract is suitable for VCSEs?
No
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.
Award information
Awarded date
26 March 2024
Contract start date
1 April 2024
Contract end date
31 March 2026
Total value of contract
£800,000
This contract was awarded to 1 supplier.
Annalise.ai
Address
280 Bishopsgate, London, United Kingdom, EC2M 4RB, London, EC2M 4RB
Reference
None
Supplier is SME?
Yes
About the buyer
Contact name
Tom Bradley
Address
Beckett St
Leeds
LS9 7TF
GB
Telephone
07393008456
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Closing: 19 February 2024, 12pm
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