Planning

MARKET ENGAGEMENT on behalf of NHS CFA- Advanced Analytical Data Science Capability to Counter Fraud in the NHS - Delivery Partner

NHS SHARED BUSINESS SERVICES

This public procurement record has 2 releases in its history.

Planning

29 Sep 2023 at 09:59

Planning

28 Sep 2023 at 16:39

Summary of the contracting process

The NHS Shared Business Services is looking for a Delivery Partner for an advanced analytical data science capability project to counter fraud in the NHS. The procurement is currently in the planning stage with an engagement end date of 9th October 2023. The project is expected to start in October 2023 and deliver its objectives by the end of March 2025. The location of the project is in SALFORD, England, with a focus on data analysis services within the healthcare industry.

This tender by the NHS presents an opportunity for businesses specializing in data analysis services, particularly those with expertise in advanced analytical techniques and fraud detection. SMEs with experience in innovative data analysis to counter fraud would be well-suited to compete for this project. The selected partner will help the NHS become a Centre of Excellence for analytical fraud detection and pattern identification, contributing to the protection of NHS funds from fraud by leveraging data science capabilities.

Find more tenders on our Open Data Platform.
How relevant is this notice?

D3 Tenders Premium

Win More Public Sector Contracts

AI-powered tender discovery, pipeline management, and market intelligence — everything you need to grow your public sector business.

Notice Title

MARKET ENGAGEMENT on behalf of NHS CFA- Advanced Analytical Data Science Capability to Counter Fraud in the NHS - Delivery Partner

Notice Description

It is the NHSCFA's intention to use advanced analytical techniques underpinned by data science including machine learning, together with the integration of technology to not only help stop known frauds but predict and uncover those that have yet to occur or those that have yet to be reported or observed. By creating a data science technological capability and utilising the copious amount of data captured each day in the NHS. Harnessing the power of expertise, then actionable outcome through an evidence-based data science approach to fraud detection will not only identify novel patterns of concern but unlock the value of data meaning abuse can be detected earlier in turn protecting NHS funds from fraud. The inclusion of fraud detection techniques will also highlight patterns in data that will identify previously unseen fraud trends, therefore improving the time to action. The requirement is to secure a partner to build our advanced analytical capability and data environment. We require a partner who has supported organisations drive forward innovative data analysis to counter fraud. They will support NHSCFA to become a Centre of Excellence for analytical fraud detection and pattern identification. We are looking to start the project in October 2023 and deliver the objectives of the project by the end of March 25 Please refer to the full draft specification document for details.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-5288f571-cb1d-40a7-a610-7698bd8f1e1c
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/cee8d817-0665-46b8-8d6d-2a958762f716
Current Stage
Planning
All Stages
Planning

Procurement Classification

Notice Type
Market Engagement Notice
Procurement Type
Standard
Procurement Category
Not specified
Procurement Method
Not Specified
Procurement Method Details
Not specified
Tender Suitability
SME
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

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


CPV Codes

72316000 - Data analysis services

Notice Value(s)

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

Notice Dates

Publication Date
29 Sep 20232 years ago
Submission Deadline
Not specified
Future Notice Date
9 Oct 2023Expired
Award Date
Not specified
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Planning
Lots Status
Not Specified
Awards Status
Not Specified
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
NHS SHARED BUSINESS SERVICES
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
SALFORD
Postcode
M50 2UW
Post Town
Manchester
Country
England

Major Region (ITL 1)
TLD North West (England)
Basic Region (ITL 2)
TLD3 Greater Manchester
Small Region (ITL 3)
TLD34 Greater Manchester South West
Delivery Location
Not specified

Local Authority
Salford
Electoral Ward
Quays
Westminster Constituency
Salford

Further Information

Notice Documents

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-b5fd17-5288f571-cb1d-40a7-a610-7698bd8f1e1c-2023-09-29T10:59:07+01:00",
    "date": "2023-09-29T10:59:07+01:00",
    "ocid": "ocds-b5fd17-5288f571-cb1d-40a7-a610-7698bd8f1e1c",
    "language": "en",
    "initiationType": "tender",
    "title": "MARKET ENGAGEMENT on behalf of NHS CFA- Advanced Analytical Data Science Capability to Counter Fraud in the NHS - Delivery Partner",
    "planning": {
        "milestones": [
            {
                "id": "1",
                "title": "Engagement end date",
                "type": "engagement",
                "dueDate": "2023-10-09T23:59:59+01:00"
            }
        ],
        "documents": [
            {
                "id": "1",
                "documentType": "marketEngagementNotice",
                "description": "Early engagement notice on Contracts Finder",
                "url": "https://www.contractsfinder.service.gov.uk/Notice/cee8d817-0665-46b8-8d6d-2a958762f716",
                "datePublished": "2023-09-28T17:39:00+01:00",
                "format": "text/html",
                "language": "en",
                "dateModified": "2023-09-29T10:59:07+01:00"
            },
            {
                "id": "2",
                "documentType": "technicalSpecifications",
                "description": "Please access the procurement portal using the link https://discovery.ariba.com/rfx/17577460 to respond to the Market Engagement Questionnaire(MEQ)",
                "url": "https://discovery.ariba.com/rfx/17577460"
            }
        ]
    },
    "tender": {
        "id": "WS1645793959",
        "title": "MARKET ENGAGEMENT on behalf of NHS CFA- Advanced Analytical Data Science Capability to Counter Fraud in the NHS - Delivery Partner",
        "description": "It is the NHSCFA's intention to use advanced analytical techniques underpinned by data science including machine learning, together with the integration of technology to not only help stop known frauds but predict and uncover those that have yet to occur or those that have yet to be reported or observed. By creating a data science technological capability and utilising the copious amount of data captured each day in the NHS. Harnessing the power of expertise, then actionable outcome through an evidence-based data science approach to fraud detection will not only identify novel patterns of concern but unlock the value of data meaning abuse can be detected earlier in turn protecting NHS funds from fraud. The inclusion of fraud detection techniques will also highlight patterns in data that will identify previously unseen fraud trends, therefore improving the time to action. The requirement is to secure a partner to build our advanced analytical capability and data environment. We require a partner who has supported organisations drive forward innovative data analysis to counter fraud. They will support NHSCFA to become a Centre of Excellence for analytical fraud detection and pattern identification. We are looking to start the project in October 2023 and deliver the objectives of the project by the end of March 25 Please refer to the full draft specification document for details.",
        "status": "planning",
        "classification": {
            "scheme": "CPV",
            "id": "72316000",
            "description": "Data analysis services"
        },
        "items": [
            {
                "id": "1",
                "deliveryAddresses": [
                    {
                        "postalCode": "E14 4PU"
                    },
                    {
                        "postalCode": "E14 4PU"
                    }
                ]
            }
        ],
        "suitability": {
            "sme": true,
            "vcse": false
        }
    },
    "parties": [
        {
            "id": "GB-SRS-sid4gov.cabinetoffice.gov.uk/m6gv6TMA",
            "name": "NHS Shared Business Services",
            "identifier": {
                "legalName": "NHS Shared Business Services",
                "scheme": "GB-SRS",
                "id": "sid4gov.cabinetoffice.gov.uk/m6gv6TMA"
            },
            "address": {
                "streetAddress": "Broadway",
                "locality": "SALFORD",
                "postalCode": "M502UW",
                "countryName": "England"
            },
            "contactPoint": {
                "email": "Chris.Frederick1@nhs.net",
                "name": "Chris Frederick",
                "telephone": "07481611198"
            },
            "roles": [
                "buyer"
            ]
        }
    ],
    "buyer": {
        "id": "GB-SRS-sid4gov.cabinetoffice.gov.uk/m6gv6TMA",
        "name": "NHS Shared Business Services"
    }
}