Award

NICE AI Multi Agency Service Evaluation

NATIONAL INSTITUTE FOR HEALTH AND CARE EXCELLENCE

This public procurement record has 4 releases in its history.

Award

24 Jun 2021 at 13:33

TenderAmendment

01 Mar 2021 at 15:55

TenderAmendment

23 Feb 2021 at 15:25

Tender

22 Feb 2021 at 16:59

Summary of the contracting process

The National Institute for Health and Care Excellence (NICE) is conducting a public procurement process for the "NICE AI Multi Agency Service Evaluation" project, which falls under the services industry. This procurement is currently at the Award stage, with the contract period having commenced on 3rd May 2021 and scheduled to conclude on 2nd March 2023. The total contract value is £138,000, and submissions for this tender were accepted until 24th March 2021. The procurement method utilised is an open procedure, suitable for small and medium enterprises (SMEs).

This tender presents a significant opportunity for businesses specialising in research and development, particularly those with expertise in evaluating national programmes in the healthcare technology sector. Companies capable of executing complex evaluations and adapting strategies in evolving environments will be well-positioned to compete. The successful applicant will have the chance to contribute to the assessment of an innovative service designed to enhance AI applications in health and care, potentially shaping future funding decisions and strategies for similar initiatives.

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Notice Title

NICE AI Multi Agency Service Evaluation

Notice Description

We are looking for an evaluation partner with experience evaluating national programmes of a similar scale and complexity, and where the scope could potentially evolve, to deliver a formative evaluation and hand-over a robust summative evaluation strategy (including proposed metrics and data sources) by March 2023. The supplier should also have the capability to deliver emerging learning throughout the project The Programme is for evaluation of the AI Multi-Agency Advice Service (MAAS) project this is a 2.75 year project, funded by the NHSx AI Lab. The aim of the project is to collaboratively research, test and develop a multi-agency advice service that will offer support, information and advice on the regulation and health technology assessment pathways for artificial intelligence (AI) in health and care, and potentially other data-driven technologies. The purpose of the formative evaluation is to support the MAAS to be as effective in implementation as possible. This will be done through activities such as analysing baseline data in order to make recommendations on focus of the service, and undertaking process evaluation, particularly with regard to the project's interdependencies within the wider innovation ecosystem. As this is a complex intervention which will necessarily evolve, we expect the evaluation partner to be comfortable in an ambiguous environment, and providing us with emergent messages on what they see is working and not working and why. The summative evaluation strategy, once implemented, will be used by MAAS collaborators and commissioners in order to make future decisions about funding for this and other similar initiatives. It will also allow NHSX to report back to HM Treasury on the impact and benefits realised by the MAAS. It must be co-developed with the developer and the MAAS collaborators. It should focus on a range of outputs, outcomes and benefits including near-term (e.g. satisfaction of developers / adopters using the service) to long-term impacts (e.g. patients and citizens benefitting from AI and data-driven technologies). It should be underpinned by a logical and plausible theory of change or logic model. It should also have clearly defined metrics which are prioritised and have recommendations for gathering data. Some outputs from the evaluation may be used for external purposes such as communications; however, this is not the primary purpose. These activities will require contact with the MAAS partners at predetermined time points, and potentially with wider stakeholders involved in the project (TBD), which the AI MAAS secretariat will support Full details in the attached documents Additional information: Bidding instructions are within the Requirement specification. Expressions of interest should be a simple email with contact details, and the contact details will be used to send the responses to any questions recived

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-a7872965-64ab-4b41-8ef0-b180dbeaca17
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/5351205a-b1f0-4ecc-a669-d86411360703
Current Stage
Award
All Stages
Tender, Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure (below threshold)
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73300000 - Design and execution of research and development

Notice Value(s)

Tender Value
£138,000 £100K-£500K
Lots Value
Not specified
Awards Value
£121,950 £100K-£500K
Contracts Value
Not specified

Notice Dates

Publication Date
24 Jun 20214 years ago
Submission Deadline
24 Mar 2021Expired
Future Notice Date
Not specified
Award Date
13 Jun 20214 years ago
Contract Period
13 Jun 2021 - 31 Mar 2023 1-2 years
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
NATIONAL INSTITUTE FOR HEALTH AND CARE EXCELLENCE
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
E20 1JQ
Post Town
East London
Country
England

Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI4 Inner London - East
Small Region (ITL 3)
TLI41 Hackney and Newham
Delivery Location
Not specified

Local Authority
Newham
Electoral Ward
Stratford Olympic Park
Westminster Constituency
Stratford and Bow

Supplier Information

Number of Suppliers
1
Supplier Name

RAND EUROPE COMMUNITY INTEREST

Further Information

Open Contracting Data Standard (OCDS)

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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.

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