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Prior Information Notice

Diagnostic AI for the Detection of Fractures

  • First published: 17 August 2024
  • Last modified: 17 August 2024
  • Record interest

     

  • This file may not be fully accessible.

  •  

The buyer is not using this website to administer the notice.

To record your interest or obtain additional information or documents please find instructions within the Full Notice Text. (NOTE: Contract Award Notices and Prior Information Notices do not normally require a response)

Contents

Summary

OCID:
ocds-h6vhtk-048b6b
Published by:
Hull University Teaching Hospitals NHS Trust
Authority ID:
AA75349
Publication date:
17 August 2024
Deadline date:
-
Notice type:
Prior Information Notice
Has documents:
No
Has SPD:
No
Has Carbon Reduction Plan:
N/A

Abstract

Notice is hereby given that the Hull University Teaching Hospitals NHS Trust will shortly be requesting bids for an artificial intelligence software system compatible with radiology Picture Archiving and Communications Systems, which will have the capability to identify traumatic musculoskeletal injuries within the appendicular skeleton in adult and paediatric radiographs.<br/><br/>The procurement of this system will be conducted under Crown Commercial Services (CCS) Artificial Intelligence (AI) Dynamic Purchasing System (DPS) RM 6200.<br/><br/>If you wish to participate in this opportunity, please can you ensure that you are registered with the DPS by Friday 13th September 2024. A capability assessment to determine suitable suppliers to participate in a competition will take place against all registered suppliers on the DPS week commencing 16th September 2024. <br/><br/>It is the supplier’s responsibility to ensure that they are registered with the DPS in time to participate in this capability assessment.

Full notice text

Prior information notice

This notice is for prior information only

Section I: Contracting authority

I.1) Name and addresses

Hull University Teaching Hospitals NHS Trust

Hull Royal Infirmary, Anlaby Road

Hull

HU3 2JZ

UK

Contact person: Marcus Raw

Telephone: +44 1482608735

E-mail: marcus.raw@nhs.net

NUTS: UKE11

Internet address(es)

Main address: https://www.hey.nhs.uk

Address of the buyer profile: https://www.hey.nhs.uk

I.3) Communication

Additional information can be obtained from the abovementioned address


Electronic communication requires the use of tools and devices that are not generally available. Unrestricted and full direct access to these tools and devices is possible, free of charge, at:

https://health-family.force.com/s/Welcome


I.4) Type of the contracting authority

Body governed by public law

I.5) Main activity

Health

Section II: Object

II.1) Scope of the procurement

II.1.1) Title

Diagnostic AI for the Detection of Fractures

Reference number: C298773

II.1.2) Main CPV code

72262000

 

II.1.3) Type of contract

Services

II.1.4) Short description

Notice is hereby given that the Hull University Teaching Hospitals NHS Trust will shortly be requesting bids for an artificial intelligence software system compatible with radiology Picture Archiving and Communications Systems, which will have the capability to identify traumatic musculoskeletal injuries within the appendicular skeleton in adult and paediatric radiographs.<br/><br/>The procurement of this system will be conducted under Crown Commercial Services (CCS) Artificial Intelligence (AI) Dynamic Purchasing System (DPS) RM 6200.<br/><br/>If you wish to participate in this opportunity, please can you ensure that you are registered with the DPS by Friday 13th September 2024. A capability assessment to determine suitable suppliers to participate in a competition will take place against all registered suppliers on the DPS week commencing 16th September 2024. <br/><br/>It is the supplier’s responsibility to ensure that they are registered with the DPS in time to participate in this capability assessment.

II.1.6) Information about lots

This contract is divided into lots: No

II.2) Description

II.2.2) Additional CPV code(s)

33124110

II.2.3) Place of performance

NUTS code:

UKE12


Main site or place of performance:

Hull University Teaching Hospitals NHS Trust sites.

II.2.4) Description of the procurement

Notice is hereby given that the Hull University Teaching Hospitals NHS Trust will shortly be requesting bids for an artificial intelligence software system compatible with radiology Picture Archiving and Communications Systems, which will have the capability to identify traumatic musculoskeletal injuries within the appendicular skeleton in adult and paediatric radiographs.<br/><br/>The procurement of this system will be conducted under Crown Commercial Services (CCS) Artificial Intelligence (AI) Dynamic Purchasing System (DPS) RM 6200.<br/><br/>If you wish to participate in this opportunity, please can you ensure that you are registered with the DPS by Friday 13th September 2024. A capability assessment to determine suitable suppliers to participate in a competition will take place against all registered suppliers on the DPS week commencing 16th September 2024. <br/><br/>It is the supplier’s responsibility to ensure that they are registered with the DPS in time to participate in this capability assessment.

II.3) Estimated date of publication of contract notice:

16/08/2024

Section IV: Procedure

IV.1) Description

IV.1.8) Information about Government Procurement Agreement (GPA)

The procurement is covered by the Government Procurement Agreement: Yes

Section VI: Complementary information

VI.5) Date of dispatch of this notice

16/08/2024

Coding

Commodity categories

ID Title Parent category
33124110 Diagnostic systems Diagnostics and radiodiagnostic devices and supplies
72262000 Software development services Software-related services

Delivery locations

ID Description
100 UK - All

Alert region restrictions

The buyer has restricted the alert for this notice to suppliers based in the following regions.

ID Description
There are no alert restrictions for this notice.

About the buyer

Main contact:
marcus.raw@nhs.net
Admin contact:
N/a
Technical contact:
N/a
Other contact:
N/a

Further information

Date Details
No further information has been uploaded.

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