Planning

Diagnostic AI for the Detection of Fractures

HULL UNIVERSITY TEACHING HOSPITALS NHS TRUST

This public procurement record has 1 release in its history.

Planning

16 Aug 2024 at 09:21

Planning Notice
Summary of the contracting process

The Hull University Teaching Hospitals NHS Trust is in the planning stage of procuring a diagnostic AI system for the detection of fractures. This tender, titled "Diagnostic AI for the Detection of Fractures," falls under the software development services category (CPV code: 72262000) and is focused on medical and diagnostic systems (CPV code: 33124110). The AI software will need to be compatible with radiology Picture Archiving and Communications Systems to identify traumatic musculoskeletal injuries in both adult and paediatric radiographs. The procurement is set to be conducted under the Crown Commercial Services (CCS) Artificial Intelligence (AI) Dynamic Purchasing System (DPS) RM 6200. Interested suppliers must ensure they are registered with the DPS by Friday, 13th September 2024, and a capability assessment will take place the week commencing 16th September 2024.

This tender presents a significant business growth opportunity for companies specialising in artificial intelligence and software development, particularly those focusing on healthcare solutions. Businesses that can develop AI systems for medical diagnostics and have experience working with radiology technologies will find this tender particularly suitable. The project calls for innovative solutions to improve diagnostic accuracy and efficiency within the healthcare sector, specifically for NHS Trust sites in Hull. The procurement process through the CCS AI DPS ensures a structured and competitive selection of the best-suited suppliers, fostering a fair environment for businesses to present their cutting-edge solutions.

How relevant is this notice?

Notice Information

Notice Title

Diagnostic AI for the Detection of Fractures

Notice 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.

Lot Information

Lot 1

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.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-048b6b
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/026062-2024
Current Stage
Planning
All Stages
Planning

Procurement Classification

Notice Type
Planning Notice
Procurement Type
Dynamic
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Not specified
Tender Suitability
Not specified
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

33 - Medical equipments, pharmaceuticals and personal care products

72 - IT services: consulting, software development, Internet and support

CPV Codes

33124110 - Diagnostic systems

72262000 - Software development services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
16 Aug 20241 years ago
Submission Deadline
Not specified
Future Notice Date
15 Aug 2024Expired
Award Date
Not specified
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Planned
Lots Status
Planned
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
HULL UNIVERSITY TEACHING HOSPITALS NHS TRUST
Contact Name
Marcus Raw
Contact Email
marcus.raw@nhs.net
Contact Phone
+44 1482608735

Buyer Location

Locality
HULL
Postcode
HU3 2JZ
Post Town
Hull
Country
England
Major Region (ITL 1)
TLE Yorkshire and The Humber
Basic Region (ITL 2)
TLE1 East Yorkshire and Northern Lincolnshire
Small Region (ITL 3)
TLE11 Kingston upon Hull, City of
Delivery Location
TLE12 East Riding of Yorkshire
Local Authority
Kingston upon Hull, City of
Electoral Ward
Central
Westminster Constituency
Kingston upon Hull North and Cottingham

Further Information

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

Download

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. 

{
    "tag": [
        "compiled"
    ],
    "id": "ocds-h6vhtk-048b6b-2024-08-16T10:21:52+01:00",
    "date": "2024-08-16T10:21:52+01:00",
    "ocid": "ocds-h6vhtk-048b6b",
    "initiationType": "tender",
    "tender": {
        "id": "C298773",
        "legalBasis": {
            "id": "32014L0024",
            "scheme": "CELEX"
        },
        "title": "Diagnostic AI for the Detection of Fractures",
        "status": "planned",
        "classification": {
            "scheme": "CPV",
            "id": "72262000",
            "description": "Software development services"
        },
        "mainProcurementCategory": "services",
        "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.",
        "lots": [
            {
                "id": "1",
                "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.",
                "status": "planned"
            }
        ],
        "items": [
            {
                "id": "1",
                "additionalClassifications": [
                    {
                        "scheme": "CPV",
                        "id": "33124110",
                        "description": "Diagnostic systems"
                    }
                ],
                "deliveryAddresses": [
                    {
                        "region": "UKE12"
                    }
                ],
                "deliveryLocation": {
                    "description": "Hull University Teaching Hospitals NHS Trust sites."
                },
                "relatedLot": "1"
            }
        ],
        "communication": {
            "futureNoticeDate": "2024-08-16T00:00:00+01:00",
            "atypicalToolUrl": "https://health-family.force.com/s/Welcome"
        },
        "coveredBy": [
            "GPA"
        ]
    },
    "parties": [
        {
            "id": "GB-FTS-53800",
            "name": "Hull University Teaching Hospitals NHS Trust",
            "identifier": {
                "legalName": "Hull University Teaching Hospitals NHS Trust"
            },
            "address": {
                "streetAddress": "Hull Royal Infirmary, Anlaby Road",
                "locality": "Hull",
                "region": "UKE11",
                "postalCode": "HU3 2JZ",
                "countryName": "United Kingdom"
            },
            "contactPoint": {
                "name": "Marcus Raw",
                "telephone": "+44 1482608735",
                "email": "marcus.raw@nhs.net"
            },
            "roles": [
                "buyer"
            ],
            "details": {
                "url": "https://www.hey.nhs.uk",
                "buyerProfile": "https://www.hey.nhs.uk",
                "classifications": [
                    {
                        "scheme": "TED_CA_TYPE",
                        "id": "BODY_PUBLIC",
                        "description": "Body governed by public law"
                    },
                    {
                        "scheme": "COFOG",
                        "id": "07",
                        "description": "Health"
                    }
                ]
            }
        }
    ],
    "buyer": {
        "id": "GB-FTS-53800",
        "name": "Hull University Teaching Hospitals NHS Trust"
    },
    "language": "en"
}