Planning

Diagnostic AI for the Detection of Fractures

  • Hull University Teaching Hospitals NHS Trust

F01: Prior information notice (prior information only)

Notice identifier: 2024/S 000-026062

Procurement identifier (OCID): ocds-h6vhtk-048b6b

Published 16 August 2024, 10:21am



Section one: Contracting authority

one.1) Name and addresses

Hull University Teaching Hospitals NHS Trust

Hull Royal Infirmary, Anlaby Road

Hull

HU3 2JZ

Contact

Marcus Raw

Email

marcus.raw@nhs.net

Telephone

+44 1482608735

Country

United Kingdom

Region code

UKE11 - Kingston upon Hull, City of

Internet address(es)

Main address

https://www.hey.nhs.uk

Buyer's address

https://www.hey.nhs.uk

one.3) Communication

Additional information can be obtained from the above-mentioned 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

one.4) Type of the contracting authority

Body governed by public law

one.5) Main activity

Health


Section two: Object

two.1) Scope of the procurement

two.1.1) Title

Diagnostic AI for the Detection of Fractures

Reference number

C298773

two.1.2) Main CPV code

  • 72262000 - Software development services

two.1.3) Type of contract

Services

two.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.

The procurement of this system will be conducted under Crown Commercial Services (CCS) Artificial Intelligence (AI) Dynamic Purchasing System (DPS) RM 6200.

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.

It is the supplier’s responsibility to ensure that they are registered with the DPS in time to participate in this capability assessment.

two.1.6) Information about lots

This contract is divided into lots: No

two.2) Description

two.2.2) Additional CPV code(s)

  • 33124110 - Diagnostic systems

two.2.3) Place of performance

NUTS codes
  • UKE12 - East Riding of Yorkshire
Main site or place of performance

Hull University Teaching Hospitals NHS Trust sites.

two.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.

The procurement of this system will be conducted under Crown Commercial Services (CCS) Artificial Intelligence (AI) Dynamic Purchasing System (DPS) RM 6200.

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.

It is the supplier’s responsibility to ensure that they are registered with the DPS in time to participate in this capability assessment.

two.3) Estimated date of publication of contract notice

16 August 2024


Section four. Procedure

four.1) Description

four.1.8) Information about the Government Procurement Agreement (GPA)

The procurement is covered by the Government Procurement Agreement: Yes